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Business Partner Analyst - Underwriting Finance We're looking for a Business Partner Analyst - Underwriting Finance. You'll play a key role at the heart of our Finance and Underwriting teams, supporting our business partners who act as the key link between these two areas. About Brit At Brit, we believe that the uncertainty of the future should never stand in the way of progress. That's why we exist - to help people and businesses face the future and thrive. We're change makers enabled by a global workforce who collaborate to deliver a risk service. A team empowered to help our customers not only survive the risks they face but stay on the front foot and keep moving forward. We believe the uncertainty of tomorrow isn't something to fear but to seize; it's full of potential. Not only for our customers but for our employees too. What you'll be doing You'll be right at the heart of our Finance and Underwriting teams, supporting our business partners who act as the key link between these two areas. Think of yourself as the person who helps turn data into insight. You'll be analysing, developing and maintaining management information that shows how our underwriting business is performing. Your role will cover the full financial lifecycle from planning and forecasting to analysing actual performance and helping us improve our data capabilities. You'll be working closely with underwriters, portfolio managers and other teams like Actuarial and Risk, ensuring we've got the right information to challenge and improve performance. You'll get stuck into creating dashboards in Power BI, building models in Excel and making sure our data is accurate and consistent. You'll help produce reports for internal and external stakeholders, and you'll be ready to jump in on ad hoc projects when needed. If you love digging into data, spotting trends and turning numbers into stories, this is the role for you. We welcome everyone wholeheartedly We've got a truly diverse, genuinely inclusive work environment. We comfortably and confidently bring our whole selves to work because we know we'll be respected, valued and accepted whatever we are. Our Employee Resource Groups are safe spaces for people to share their experiences, aspirations and suggestions about how we do things. Accessibility We're based in the Leadenhall Building on Leadenhall Street (EC3V 4AB) across floors 17, 18 and 39. All our floors are accessible by lift, and building staff are on hand to point you in the right direction. The closest train and underground links are Liverpool Street Station (7 mins), Bank Station (6 mins), Fenchurch Street Station (6 mins) and Aldgate Station (7 mins). The nearest bus stop is St Mary Axe (Stop LR or Z), right outside the building. If you have any other questions regarding accessibility, just ask. Location: London

At Cleo, we're not just building another fintech app. We're embarking on a mission to fundamentally change humanity's relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. That's the future we're creating. Cleo is a rare success story: a profitable, fast-growing unicorn with over $200 million in ARR and growing over 2x year-over-year. This isn't just a job; it's a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. If you're driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo's success as we scale, while growing alongside a company that's scaling fast, this might be your perfect fit. We're hiring a Head of Pricing & Packaging to own how our subscription offering and monetisation strategy can evolve: how features are bundled, priced, and positioned to drive sustainable growth in paid subscribers and revenue. This is a highly commercial and analytical role. You will translate insight, data, and business strategy into tangible subscription propositions that users understand, value, and pay for. You'll be hands-on in the data while also setting the long-term direction for how our monetisation strategy and proposition function evolves. Key Responsibilities Own Pricing & Packaging Strategy: Lead the end-to-end strategy for subscription pricing and tier packaging, ensuring our subscription offering is competitive, distinctive, and commercially sound across markets Define how existing and new features are bundled into clear, differentiated subscription tiers Stay on top of cross-company product roadmap to optimise our monetisation and subscription model. Decision making and Cross-Functional Leadership: Collaborate closely with Product, Commercial, Lending, and Analytics to scope, prioritise, and run pricing and packaging experiments Work with Commercial, Marketing, and Compliance teams to ensure propositions are clear, coherent, compliant, and scalable Translate experiment results into clear go / no-go decisions by truly understanding short and long-term impact Build feature-level P&Ls and business cases to assess ROI and trade-offs together with our commercial team Analyse conversion, retention, ARPU, and LTV to inform pricing and bundling decisions Independently run analysis using Excel / spreadsheets (hands-on expected) Partner with Commercial and Finance and other pillars to align pricing strategy with forecasting, targets, and long-term revenue plans Translate Insight into Propositions: Work closely with User Research to understand perceived value, willingness-to-pay, and unmet needs. Run pricing and WTP research independently if needed. Partner with Product Analysts to synthesise behavioural data and performance insights Turn qualitative and quantitative insight into concrete pricing and packaging recommendations Build & Scale the Function: Hire and develop a team as our subscription strategy matures Define experimentation frameworks, decision principles, and commercial guardrails Act as the internal authority on subscription monetisation and proposition design What We're Looking For 6-10+ years of experience in pricing, packaging, monetisation, commercial strategy, revenue ops, or product marketing Strong commercial and financial acumen, with experience analysing feature-level economics and track record of growing revenue Comfortable being hands-on in Excel - building models, scenarios, and business cases yourself Deep understanding of consumer subscription businesses Strong product sense and intuition for value proposition design Experience working inside or alongside product squads running experiments Confident influencing senior stakeholders Knowledge of the US financial market (consumer behaviour, regulation, pricing norms) preferred What do you get for all your hard work? A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. You can view our public progression framework and salary bandings here: Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures A clear progression plan. We want you to keep growing. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support. Flexibility. We can't fight for the world's financial health if we're not healthy ourselves. We work with everyone to make sure they have the balance they need to do their best work Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach, we'd love you to spend one day a week or more in our beautiful office. If you're outside of London, we'll encourage you to spend a couple of days with us a few times per year. And we'll cover your travel costs, naturally. Other Benefits Company-wide performance reviews every 6 months Generous pay increases for high-performing team members Equity top-ups for team members getting promoted 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days) 6% employer-matched pension in the UK Private Medical Insurance via Vitality, dental cover, and life assurance Enhanced parental leave 1 month paid sabbatical after 4 years at Cleo Regular socials and activities, online and in-person We'll pay for your OpenAI subscription Online mental health support via Spill Workplace Nursery Scheme And many more! Welcoming Everyone We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there's anything we can do to accommodate your specific situation, please let us know. Download the Test Flight App access for people in the UK & Europe:If you are an iOS user, please use this link to sign up to ourTestFlightversion of the app, so you can have a play around with the functionality and features: By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI's Candidate Privacy Notice

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries. Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement. This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi million dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action. The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high performing teams, this role is for you. What You'll Do Lead and mentor junior data scientists and analysts-provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi workstream analytics projects-oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end to end data science workflows-from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI powered analyses-including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights-create compelling data narratives, develop executive ready presentations, and communicate technical results to non technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients-build long standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development-participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities. Required Qualifications 5+ years of hands on experience conducting data science and advanced analytics-not just ad hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams-including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit learn, statsmodels, visualization libraries). Comfortable writing production quality code, not just notebooks. Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures-understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills-ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed. Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference in differences, or instrumental variables. Hands on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine tuning pretrained models for NLP, time series, or tabular data applications. Experience building AI assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI assistant rapid data application development using Cursor, Lovable, v0, etc. Experience with time series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces. Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field. Why Huron Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy & Utilities, and more-each engagement is a new domain to master and a new problem to crack. Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions-pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes. A team that thinks deeply. Huron's Data Science & Machine Learning team is a close knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly. Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles. Position Level Manager Country United Kingdom

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

Senior Gas Analyst Department: Fundamentals & Consolidated Views Employment Type: Permanent - Full Time Location: London Reporting To: Mike Coffin Description Energy Aspects has an exciting opportunity for an experienced energy analyst to join our Long-term and Transition team as a subject matter leader based in London. This is a fantastic role for an intellectually curious, analytically rigorous thinker. If you are passionate about the future of energy systems and the implications of long-term trends on market dynamics and can clearly and effectively communicate these insights to clients, we want to speak with you. This position leads our long-term analysis of gas fundamentals and markets into the 2030s and beyond and will shape our views on demand from key sectors, the pace of adoption of new technologies and LNG trade patterns. The role works in partnership with long-term power and oil specialists to deliver compelling numerical and written analysis on the future of global energy markets to our clients. Previous experience in natural gas is desirable but not essential though successful candidates will be expected to demonstrate a clear understanding of energy supply and demand fundamentals and how these are modelled. Knowledge and interest in key energy transition themes, such as industrial electrification, coal to gas switching, hydrogen and LNG trade, is essential. In the role, you will develop and maintain models using diverse datasets, and assist in the design, creation and testing of econometric models that forecast supply and demand in global energy markets under different conditions. You will be responsible for both numerical and written outputs to our clients from day one, including writing research notes and contributing to our regular Energy Outlook. You will be expected to communicate complex information effectively to an audience with varying technical backgrounds, alongside responding to client queries. All team members are encouraged to build their professional reputation within the industry through client interactions and are supported by some of the most highly-regarded energy sector commentators. Our analysts pride themselves on consistently producing work at the high standard expected by our demanding client base and work as required to produce valuable insight. We are meticulous about the quality of our end-product and you will need to share this commitment. To succeed in this role, you must be able to work independently and be capable of planning and prioritising to achieve success. In exchange, we offer excellent remuneration and a high-performance culture with challenging and exciting work. Key Responsibilities Developing models of long-term gas demand, giving due consideration of technology- and policy-related energy transition themes. Balancing demand with piped gas supply and LNG trade across global gas markets and forecasting long-term LNG prices for key benchmarks. Delivering high-quality, original research products, including written notes and reports that provide insightful and actionable analysis for our clients. Collaborating with power and oil analysts to develop consistent cross-commodity global market views on the energy transition, covering both medium- and long-term trends. Engaging with short-term focused Gas, LNG and Power teams to ensure alignment across our research products. Producing presentation material for clients and participating in client presentations and workshops. Responding to client queries on gas / LNG, as well as supporting queries on the wider Long-term and Transition Service. Establishing a network of industry contacts and experts. Skills, Knowledge and Expertise Proven experience as an energy analyst. In-depth understanding of key economic concepts. Fundamental modelling experience (building and maintaining complex models, working with statistical tools and regression modelling). Excellent technical written skills, preferably including writing reports for a non-technical audience. Strong analytical and data-handling skills, including being able to select and use the most appropriate software and techniques for a task. The ability to meet deadlines and work effectively with others, including colleagues in different time zones, to deliver timely analysis is critical. Strong presentation skills to effectively communicate analysis to clients. High attention to detail in both handling data and written English. Desirable skills Fundamental understanding of global gas and LNG markets, including regional dynamics. Experience of Upstream gas development/production, and other demand sectors (e.g. petrochemicals, shipping). Python programming skills. Experience of scenario analysis. Econometrics modelling experience (Eviews or similar package). European language skills. Benefits Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are. Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team. Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport. Our office spaces are thoughtfully equipped to enhance your day-to-day experience whether working independently or collaborating with teammates. Enjoy the simple pleasures of a freshly brewed coffee, healthy snacks, and a social space for celebratory moments. One of the unique traits of life at Energy Aspects is the way our international colleagues often delight us with treats from around the globe. It's safe to say you'll never go hungry in our offices! We recognize your contribution with a competitive compensation package that includes annual bonuses, comprehensive private health insurance, and substantial pension contributions. Additionally, we offer company share options, subsidized gym memberships, and a generous holiday policy to support your financial and personal well-being. Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.

We are seeking a technically skilled and analytical Business Intelligence Analyst to join our team. This role is pivotal in driving alignment across Sales and Marketing by leveraging data to optimize revenue processes, improve forecasting accuracy, and enhance operational efficiency. The ideal candidate will have strong SQL and Python skills for advanced reporting and automation, combined with expertise in Microsoft Excel for data analysis and modeling. Experience with data visualization tools (Tableau, Power BI) is a plus. This is a hybrid work model (onsite 2 times per week). Please note: For this position, we are unable to provide visa sponsorship now or in the future. Candidates must already have the legal right to work in Lithuania and be able to start and maintain employment without visa support from Convera. You will be responsible for: Data Analysis & Reporting. Build and maintain advanced dashboards and reports using a combination of SQL, Python, Excel and Salesforce reporting to track revenue performance, pipeline health, and marketing attribution. Automate recurring reporting processes and develop scripts for data cleansing and transformation. Provide actionable insights to leadership for revenue growth and operational improvements. Systems & Tools Management. Develop custom data extracts and integrations using SQL and Python. Partner with IT and vendors to enhance system functionality and reporting capabilities. Forecasting & Planning. Support quarterly and annual planning processes with data-driven insights. Cross-Functional Collaboration. Work closely with Finance, Marketing, and Sales teams to align working methods and share insights. Participate in strategic projects aimed at improving overall revenue operations performance. You should apply if you have: Bachelor's degree in business, Finance, Economics, Data Science, or related field. 3-5 years of experience in revenue operations, sales operations, or business analysis. Proficiency in SQL for querying and data manipulation. Experience with Python for data analysis, automation, and reporting. Advanced Microsoft Excel skills (pivot tables, complex formulas, and data modeling). Strong analytical and problem-solving skills with attention to detail. Excellent communication and stakeholder management abilities. Ability to manage multiple priorities in a fast-paced environment. About Convera Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology led payment solutions to deliver smarter money movements to our customers - helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs. Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth minded, results oriented people who are looking to move fast in an innovative environment. As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging. We offer an abundance of competitive perks and benefits including: Market competitive salary Opportunity to earn an annual bonus Great career growth and development opportunities in a global organization A flexible approach to work (6 10 days per month in the office) Generous insurance (health, disability, life) Paid holidays, time off, and leave policies for life events (maternity, paternity, adoption) 3 wellness days per year Paid volunteering opportunities (5 days per year) There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform business to business payments. Apply now if you're ready to unleash your potential.

The Director, Paid Media is a strategic and hands on leader responsible for developing and executing a holistic, full funnel paid media strategy across Preferred Travel Group's (PTG) global portfolio of 650+ independent luxury hotels. This role drives brand affinity, bookings, and incremental revenue through performance marketing and integrated media planning, while ensuring alignment with broader commercial objectives. This position supports Preferred Hotels & Resorts, Beyond Green, and the I Prefer Hotel Rewards loyalty program, delivering paid media strategies that elevate brand visibility, loyalty engagement, and direct channel performance. This role must operate as a hands on strategist, executor, and analyst. ORGANIZATIONAL RELATIONSHIP You will report to the Vice President, Digital Strategy & Innovation. The Director leads external agency partners to deliver measurable outcomes across digital and traditional media channels, and collaborates cross functionally with Brand Creative, Portfolio Marketing, Loyalty Marketing, and Partnerships. DUTIES & RESPONSIBILITIES Develop and evolve a global full funnel, multi channel media strategy aligned with commercial goals and marketing objectives. Identify growth opportunities and innovation in paid media, leveraging insights, market research, and incrementality studies. Partner with commercial and marketing leaders to support ancillary campaigns and ensure paid media integration across initiatives. Convey media strategies, rationale and results to senior leadership to gain support and understanding of a sophisticated media program. Campaign Management Oversee end to end campaign execution including briefing, optimization, and performance reporting. Manage a multi million dollar media budget, pacing, and forecasting to maximize ROI and ROMI. Ensure campaigns are delivered on time, meet quality and brand standards, and align with business objectives. Collaborate with creative teams and agencies to produce high performing ad formats across display, paid search, social, native, and video. Develop and adapt paid media strategies for international markets, with a particular focus on China's unique digital ecosystem (e.g., WeChat, Weibo, Douyin, Baidu), ensuring channel relevance and commercial effectiveness. Oversee and manage the I Prefer affiliate marketing program, ensuring alignment with overall media strategy and driving incremental growth through strategic partnerships. Lead relationships with global media agencies and ensure best in class service and delivery. Maintain partnerships with key media vendors, participating in alpha/beta tests and joint business plans. Activate a test and learn roadmap across all major media platforms. Own the commercial model for PTG's metasearch program, increasing revenue for member hotels and PTG by exploring new partnership structures and monetization opportunities. Measurement & Analytics Define and manage KPIs within a global measurement framework. Build and own the marketing mix modeling framework to evaluate channel effectiveness and inform budget allocation decisions. Enhance reporting formats and stakeholder deliverables to improve transparency and decision making. Collaborate with global teams to optimize data feeds, tagging, and system integrations. Industry Knowledge & Excellence Develop case studies and award entries to highlight paid media success and innovation. Regularly present updates and insights to senior stakeholders through written and live communications. QUALIFICATIONS Minimum 7 10 years of experience in media strategy, planning, and buying, ideally within hospitality, travel, or consumer services. Bachelor's degree in marketing, advertising, or related field. Proven expertise in Meta, Google, and other performance media platforms. Familiarity with AI applications in digital media, including programmatic advertising, predictive analytics, and generative creative tools. Strong analytical mindset focused on ROI and ROMI. Experience managing multi channel campaigns and significant media budgets. Ability to craft and present executive level narratives that connect media outcomes to business impact. Proficiency in media analytics tools, marketing mix modeling, digital attribution, and incrementality testing. Excellent communication, collaboration, and time management skills. WORKING CONDITIONS This role will be based out of our Preferred Travel Group office in Central London. With our in office philosophy, our associates are expected to be in the office at least three days per week, supporting a healthy balance between in person collaboration and flexible remote work. We take pride in our vibrant and inclusive culture, which thrives on meaningful connection, shared purpose, and cross functional teamwork. In office engagement plays a vital role in fostering spontaneous collaboration, accelerating innovation, and strengthening relationships across teams. It also provides valuable opportunities for mentorship, professional development, and a deeper sense of community. Please note: While the current expectation is a minimum of three days per week in the office, this may evolve over time in alignment with business needs and our continued commitment to culture building. DISCLAIMER The above information on this description has been designed to indicate the general nature and level of work performed by associates within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That's why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years' experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers' decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Company Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For over 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.Our dedicated metals & mining, oil, gas & LNG, power & renewables and chemicals sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.We have over 2000 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve - providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world's transition to a more sustainable future. Role Purpose We are looking for a Research Director to join our M&M Markets Research team. This cross-commodity role will be based in the UK, joining a global team of well-established experts. Wood Mackenzie's high-quality metals research provides value to our clients, by providing a guide to the rapidly transitioning energy and materials sectors and assisting clients to make the best commercial decisions to secure their business success. Main Responsibilities Research Leadership & Analysis Lead world-class quantitative and qualitative research on global metals demand, delivering insights through data services, proprietary datasets, written reports, public speaking, and bespoke client engagements Collaborate across commodity teams to develop long-term metals demand projections and maintain our industry-leading market perspective Partner with global commodities, energy, and natural resources teams to assess the energy transition's impact on metals demand dynamics Produce timely, high-quality deliverables and market intelligence on metals demand trends Thought Leadership & Market Authority Develop and publish opinion-rich, thematic thought leadership content on metals markets with minimal supervision Rapidly identify and analyse emerging metals demand trends, engaging proactively with senior internal and external stakeholders Establish yourself as a recognized authority on metals demand fundamentals, both internally and externally Demonstrate intellectual curiosity in researching and validating market hypotheses Strategic Communication & Stakeholder Engagement Synthesize complex market data into clear, actionable insights for diverse audiences Provide confident opinions and recommendations despite market uncertainty Engage effectively with clients across all seniority levels, adapting communication style to audience needs Build and maintain strong relationships with key internal and external stakeholders Innovation & Continuous Improvement Identify opportunities for process and product enhancement, delivering measurable improvements Leverage AI and emerging technologies to enhance research quality and efficiency Collaborate with clients and stakeholders to co-develop solutions that meet evolving market needs Monitor competitive landscape to identify threats, opportunities, and best practices External Profile & Market Presence Maintain an established media presence and industry profile Work with Marketing to develop personal brand presence on company platforms and social media Represent the organization at industry events, conferences, and client meetings Team Development Provide coaching and mentorship to research analysts Foster a culture of analytical excellence and continuous learning within the team About You Education & Industry Experience Degree qualified in a relevant discipline (Economics, Business, Mining Engineering, Geology, Materials Science, or related field) Proven experience in metals and mining sectors with demonstrated expertise in metals demand forecasting and market analysis Direct experience with key industry stakeholders including mines, processors, traders, power/renewable energy companies, EV manufacturers, charging infrastructure providers, or other metals end-users Deep understanding of metals value chains and operational dynamics across different sectors Analytical & Communication Excellence Strong analytical mindset with ability to synthesize complex, multi-source data into clear, actionable insights Exceptional written and verbal communication skills, capable of translating technical concepts for diverse audiences Proven ability to see strategic patterns in complex market data and draw coherent conclusions Comfortable presenting to public audiences and facilitating executive-level discussions Technical Proficiency Advanced proficiency in Microsoft Office suite, particularly Excel for complex data analysis Experience with data visualization tools preferred Familiarity with statistical modelling and forecasting methodologies Adaptability to leverage emerging technologies and AI tools for enhanced analysis Leadership & Relationship Building Demonstrated track record of building and maintaining strong professional networks across the industry Proven ability to influence stakeholders and drive consensus in complex, multi-party environments Experience mentoring and developing junior talent with a collaborative leadership style Strong interpersonal skills with ability to engage effectively across all organizational levels Commercial Acumen & Delivery Focus Commercially minded with deep understanding of how market intelligence drives business decisions Thrives in fast-paced, customer-centric environments with competing priorities Proactive approach to identifying opportunities and implementing process and product improvements Personal Attributes Intellectually curious with a passion for continuous learning and knowledge sharing Creative problem-solver who challenges conventional thinking Results-driven with commitment to best-in-class standards Genuine enthusiasm for working in a leading research and consultancy environment Expectations Key capabilities: + Planning and prioritising - aligning our efforts to organisational goals and priorities + Ownership and accountability - delivering on our commitments and owning the outcome + Commitment to action - making timely decisions and taking action + Continuous improvement - continuously striving for better in all we do We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment. While this is expected to be a full-time role, part-time or flexible working arrangements will be considered. Due to the global nature of the team, a degree of flexible working will be required