Sagacity is in a major phase of growth and key to this is continuing to meet the change demands of the solutions we deliver for our clients. As Technical Change and Delivery Manager, you will own the processes that let us move at pace and with control across our IT landscape (change control, defect resolution and compliance) to deliver value for our clients. This will be underpinned by owning the governance and planning that makes all three tick. Alongside this you will lead the delivery of our internal change programme, from tooling rollouts to security and migration work. This is a role with real ownership and visibility. You will work directly with our Head of IT, Head of Service Operations, PMO Manager and delivery leads across the business, with the mandate to shape how these processes run - not just administer them. Responsibilities Technical Change, Defects & Compliance Own the end-to-end Change Control Notice (CCN) process for our clients' live solutions - from change design and estimation through to development, testing and deployment Own defect resolution end-to-end, coordinating triage, prioritisation, routing and resolution within SLA, with root causes fixed so issues do not recur Support ISO 27001 and Cyber Essentials Plus compliance activity with the Head of IT - tracking remediation actions to closure and capturing audit-ready evidence Internal Change Delivery Lead internal IT projects from initiation to closure, with the efficiency and control to deliver the benefits case Run delivery cadences and ceremonies that keep teams focused and value flowing Lead by unblocking issues, protect our teams' focus, manage the backlog and clear obstacles before they impact delivery Resource Planning & Governance Forecast demand and balance resource across change, defect and compliance work so commitments are consistently met Maintain a clear portfolio view, with weekly reporting on status, risks and issues that feeds our wider business reporting Improve our governance, processes and tooling, and coach the team on agile ways of working What success looks like in the role Change flows through the business predictably, with timely reporting into local and wider business governance to ensure the picture is always clear Defects are resolved quickly, within SLA and with control to ensure first time resolution and recurring issues are the exception Compliance actions are closed promptly and evidenced end-to-end, so we are consistently audit-ready Our teams have a sustainable cadence, clarity on priorities and the support to do their best work Internal projects are delivered on time, unlocking value as they go and providing long-term improvement to our teams' capability Identify improvements to our processes that drive efficiency through practical, well-adopted changes to tooling and ways of working Build strong relationships within the IT team and wider business, providing knowledge transfer and peer reviews to contribute to a culture of continuous improvement Competencies & Behaviours Experience and Knowledge 5+ years in project or delivery management, ideally in a consultancy, data or technology services business Proven ownership of change control or equivalent commercial governance processes in a technical environment Service management grounding (ITIL or equivalent) Experience of internal IT or transformation projects - tooling rollouts, security programmes, migrations Familiarity with ISO 27001, Cyber Essentials or SOC 2 A recognised delivery qualification - Prince2, APM PMQ, PMP, or a Scrum/agile equivalent Delivery and Leadership Strong resource and capacity planning across competing priorities Strong governance and risk management with the judgement to apply proportionate controls without creating unnecessary bureaucracy Excellent prioritisation and decision-making, able to balance competing client, operational, compliance and internal change demands Commercially aware, with an understanding of how change control, scope, resource and delivery decisions impact clients Credible with technical, commercial and executive stakeholders Able to influence without authority and drive action across teams Strong problem-solving and root-cause analysis, resolving underlying issues rather than repeatedly managing symptoms Comfortable operating in ambiguity, able to bring structure and momentum to projects where requirements, priorities or dependencies are evolving Continuous improvement mindset, with a track record of simplifying processes and embedding ways of working that teams actually adopt Tools and Ways of Working Hands-on experience with Scrum, Kanban and traditional project methodologies Comfortable with project and agile tooling: Jira, ClickUp, MS Project, Smartsheet or equivalent Confident with Microsoft 365 (Excel, PowerPoint, SharePoint, Teams) for project artefacts and reporting Highly numerate, with strong attention to detail Solutions-oriented, with natural problem-solving instincts Organised and pro-active - you prioritise well and stay calm under pressure An excellent communicator, written and verbal, comfortable influencing others A team player: personable, adaptable and genuinely curious Committed to your own development, and to helping others grow Applicants must have the right to work in the UK. Some UK travel may be required.
Sep 18, 2026
Full time
Sagacity is in a major phase of growth and key to this is continuing to meet the change demands of the solutions we deliver for our clients. As Technical Change and Delivery Manager, you will own the processes that let us move at pace and with control across our IT landscape (change control, defect resolution and compliance) to deliver value for our clients. This will be underpinned by owning the governance and planning that makes all three tick. Alongside this you will lead the delivery of our internal change programme, from tooling rollouts to security and migration work. This is a role with real ownership and visibility. You will work directly with our Head of IT, Head of Service Operations, PMO Manager and delivery leads across the business, with the mandate to shape how these processes run - not just administer them. Responsibilities Technical Change, Defects & Compliance Own the end-to-end Change Control Notice (CCN) process for our clients' live solutions - from change design and estimation through to development, testing and deployment Own defect resolution end-to-end, coordinating triage, prioritisation, routing and resolution within SLA, with root causes fixed so issues do not recur Support ISO 27001 and Cyber Essentials Plus compliance activity with the Head of IT - tracking remediation actions to closure and capturing audit-ready evidence Internal Change Delivery Lead internal IT projects from initiation to closure, with the efficiency and control to deliver the benefits case Run delivery cadences and ceremonies that keep teams focused and value flowing Lead by unblocking issues, protect our teams' focus, manage the backlog and clear obstacles before they impact delivery Resource Planning & Governance Forecast demand and balance resource across change, defect and compliance work so commitments are consistently met Maintain a clear portfolio view, with weekly reporting on status, risks and issues that feeds our wider business reporting Improve our governance, processes and tooling, and coach the team on agile ways of working What success looks like in the role Change flows through the business predictably, with timely reporting into local and wider business governance to ensure the picture is always clear Defects are resolved quickly, within SLA and with control to ensure first time resolution and recurring issues are the exception Compliance actions are closed promptly and evidenced end-to-end, so we are consistently audit-ready Our teams have a sustainable cadence, clarity on priorities and the support to do their best work Internal projects are delivered on time, unlocking value as they go and providing long-term improvement to our teams' capability Identify improvements to our processes that drive efficiency through practical, well-adopted changes to tooling and ways of working Build strong relationships within the IT team and wider business, providing knowledge transfer and peer reviews to contribute to a culture of continuous improvement Competencies & Behaviours Experience and Knowledge 5+ years in project or delivery management, ideally in a consultancy, data or technology services business Proven ownership of change control or equivalent commercial governance processes in a technical environment Service management grounding (ITIL or equivalent) Experience of internal IT or transformation projects - tooling rollouts, security programmes, migrations Familiarity with ISO 27001, Cyber Essentials or SOC 2 A recognised delivery qualification - Prince2, APM PMQ, PMP, or a Scrum/agile equivalent Delivery and Leadership Strong resource and capacity planning across competing priorities Strong governance and risk management with the judgement to apply proportionate controls without creating unnecessary bureaucracy Excellent prioritisation and decision-making, able to balance competing client, operational, compliance and internal change demands Commercially aware, with an understanding of how change control, scope, resource and delivery decisions impact clients Credible with technical, commercial and executive stakeholders Able to influence without authority and drive action across teams Strong problem-solving and root-cause analysis, resolving underlying issues rather than repeatedly managing symptoms Comfortable operating in ambiguity, able to bring structure and momentum to projects where requirements, priorities or dependencies are evolving Continuous improvement mindset, with a track record of simplifying processes and embedding ways of working that teams actually adopt Tools and Ways of Working Hands-on experience with Scrum, Kanban and traditional project methodologies Comfortable with project and agile tooling: Jira, ClickUp, MS Project, Smartsheet or equivalent Confident with Microsoft 365 (Excel, PowerPoint, SharePoint, Teams) for project artefacts and reporting Highly numerate, with strong attention to detail Solutions-oriented, with natural problem-solving instincts Organised and pro-active - you prioritise well and stay calm under pressure An excellent communicator, written and verbal, comfortable influencing others A team player: personable, adaptable and genuinely curious Committed to your own development, and to helping others grow Applicants must have the right to work in the UK. Some UK travel may be required.
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
Sep 18, 2026
Full time
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles(DAB's Establish secure, compliant environments including networking (VNet/VPC, Private Link), identity (IAM/Entra ID), data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows for both batch and streaming workloads Client Delivery & Enablement responsibilities: Work directly with clients to translate business and technical requirements into scalable platform designs Lead technical workshops, architecture sessions, and whiteboarding engagements with client stakeholders Support rapid prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides Enable client teams through structured knowledge transfer, training, and platform handover Collaborate with data engineers, data scientists, and product teams to ensure successful delivery outcomes Governance & Security: Implement Unity Catalog for centralised data governance, including access control (RBAC/ABAC), data lineage, audit logging, and compliance enforcement Apply security best practices across platform design: network isolation, secret management, encryption at rest and in transit, and identity federation Ensure platform designs meet client regulatory and compliance requirements (e.g. GDPR, ISO 27001, sector-specific standards) What success looks like in the role: Delivery of robust, secure, and scalable Databricks platforms that meet client performance and cost expectations Clear, well-architected solutions that balance flexibility, governance, and operational efficiency Strong client relationships built on trust, technical credibility, and effective communication Accelerated client adoption of the Lakehouse platform through well-designed enablement and documentation Reduced deployment time through reusable infrastructure patterns and automation Proactive identification of risks, trade-offs, and optimisation opportunities across platform design and delivery Contribution to the organisation's growing body of reusable platform accelerators, reference architectures, and internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/VPC, IAM) Experience with infrastructure-as-code tools (e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards) Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders Comfortable working in a client-facing consultancy environment with multiple concurrent engagements Proactive, self-driven, and able to take ownership of end-to-end platform delivery Willingness to travel within the UK as required Right to work in the UK
May 23, 2026
Full time
Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect end-to-end data platforms including ingestion, storage (Delta Lake), processing, and consumption layers Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles(DAB's Establish secure, compliant environments including networking (VNet/VPC, Private Link), identity (IAM/Entra ID), data governance (Unity Catalog), and access controls Define environment strategies (dev/test/prod), CI/CD pipelines, and release processes for Databricks deployments Implement monitoring, logging, cost optimisation, and performance tuning across the platform Design and implement data pipelines using Delta Live Tables, Auto Loader, and Databricks Workflows for both batch and streaming workloads Client Delivery & Enablement responsibilities: Work directly with clients to translate business and technical requirements into scalable platform designs Lead technical workshops, architecture sessions, and whiteboarding engagements with client stakeholders Support rapid prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides Enable client teams through structured knowledge transfer, training, and platform handover Collaborate with data engineers, data scientists, and product teams to ensure successful delivery outcomes Governance & Security: Implement Unity Catalog for centralised data governance, including access control (RBAC/ABAC), data lineage, audit logging, and compliance enforcement Apply security best practices across platform design: network isolation, secret management, encryption at rest and in transit, and identity federation Ensure platform designs meet client regulatory and compliance requirements (e.g. GDPR, ISO 27001, sector-specific standards) What success looks like in the role: Delivery of robust, secure, and scalable Databricks platforms that meet client performance and cost expectations Clear, well-architected solutions that balance flexibility, governance, and operational efficiency Strong client relationships built on trust, technical credibility, and effective communication Accelerated client adoption of the Lakehouse platform through well-designed enablement and documentation Reduced deployment time through reusable infrastructure patterns and automation Proactive identification of risks, trade-offs, and optimisation opportunities across platform design and delivery Contribution to the organisation's growing body of reusable platform accelerators, reference architectures, and internal knowledge Competencies and Behaviours: 3+ years experience in data platform engineering, cloud engineering, or similar roles Strong hands-on experience with Databricks, including Apache Spark, Delta Lake, Workflows Proven experience designing and deploying data platforms on AWS and/or Azure (e.g. ADLS, S3, VNet/VPC, IAM) Experience with infrastructure-as-code tools (e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards) Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders Comfortable working in a client-facing consultancy environment with multiple concurrent engagements Proactive, self-driven, and able to take ownership of end-to-end platform delivery Willingness to travel within the UK as required Right to work in the UK
As a Junior Data Engineer within the Production team, you will play a critical role in the swift, accurate, and secure progression of client jobs. You will be responsible for ensuring the reliability of data outputs, standardising external data, and driving process improvements that enhance our overall efficiency. This role bridges technical execution with operational excellence, requiring a proactive individual who is detail-driven, process-orientated, and eager to grow their skills within AWS and Databricks. You will work closely with Account Managers, Sales, and cross-functional teams to deliver high-quality data solutions that meet our clients' needs. Key Responsibilities Data Processing & Accuracy Ensure the swift, accurate, and secure progression of client jobs, performing bespoke file matches, standardisation, enhancement, and deduplication of external data. Ensure the highest standards of data accuracy and reliability in all outputs, actively monitoring for discrepancies to reduce errors and rework over time. Maintain strict adherence to security, confidentiality, and data compliance protocols in all data handling. Technical Execution & Process Improvement Perform ad-hoc queries, counts, and data manipulation using Databricks, SQL, and FastStats. Identify, propose, and implement process improvements to enhance productivity, accuracy, and the overall efficiency of the Production team. Develop and maintain robust ETL (Extract, Transform, Load) logic tailored to production requirements. Documentation & Operations Create, maintain, and update all in-scope documentation for the Production Team. Map and document comprehensive process flows for each job type within Databricks to ensure operational resilience and knowledge sharing. Cross-Functional Collaboration & Customer Focus Collaborate effectively with Account Managers, Sales, Development, and Product teams to align data outputs with business and client expectations. Actively gather and respond to feedback from stakeholders to measure customer satisfaction and continuously improve the usefulness and quality of data outputs. Training & Development Take ownership of your own learning path, setting self-objectives for skill growth, particularly in AWS and Databricks ecosystems. Promote and implement knowledge transfer amongst team members to elevate the collective technical capability of the Production team. Skills and Experience Essential Data Processing: 1-3 years of "hands-on" data processing experience, preferably working with name and address data used for marketing. Technical Proficiency: Strong practical experience with Databricks and SQL . Data Manipulation: Deep understanding of logical data manipulation processes, including data reformats, hygiene, enhancement, and deduplication. Quality Assurance: Proven ability to analyze datasets, spot anomalies, and implement rigorous testing/validation to ensure data integrity. Tools: Good working knowledge of the Microsoft Office suite (Word, Excel, Outlook). Desirable Familiarity or experience with FastStats . Programming experience in Python or similar languages used for data engineering. Basic understanding or exposure to cloud platforms, specifically AWS . Knowledge of various industry suppression files. Experience with project management or ticketing tools (e.g., ClickUp). Personal Attributes & Behaviours To succeed in this role and align with Sagacity's core values, we are looking for someone who embodies the following traits: Self-Starter & Autonomous: Highly organised, efficient, and deadline-focused. You manage your own time effectively and take the initiative to solve problems. Detail-Driven & Process-Orientated: You pride yourself on quality delivery, paying meticulous attention to detail, and ensuring completeness in all the work you do. Agile & Curious: You have an inquisitive mind, embrace change, and are never afraid to ask questions to deepen your understanding or challenge the status quo. Trusted & Customer-Focused: You build strong relationships with clients and internal stakeholders by demonstrating uncompromised integrity, openness, and accountability. Clear Communicator: You practice open, honest, and simple communication, translating complex data concepts into understandable insights for non-technical stakeholders. One Team Player: You work in unity and collaboration with colleagues and clients, treating everyone as one big team working toward a shared purpose.
May 22, 2026
Full time
As a Junior Data Engineer within the Production team, you will play a critical role in the swift, accurate, and secure progression of client jobs. You will be responsible for ensuring the reliability of data outputs, standardising external data, and driving process improvements that enhance our overall efficiency. This role bridges technical execution with operational excellence, requiring a proactive individual who is detail-driven, process-orientated, and eager to grow their skills within AWS and Databricks. You will work closely with Account Managers, Sales, and cross-functional teams to deliver high-quality data solutions that meet our clients' needs. Key Responsibilities Data Processing & Accuracy Ensure the swift, accurate, and secure progression of client jobs, performing bespoke file matches, standardisation, enhancement, and deduplication of external data. Ensure the highest standards of data accuracy and reliability in all outputs, actively monitoring for discrepancies to reduce errors and rework over time. Maintain strict adherence to security, confidentiality, and data compliance protocols in all data handling. Technical Execution & Process Improvement Perform ad-hoc queries, counts, and data manipulation using Databricks, SQL, and FastStats. Identify, propose, and implement process improvements to enhance productivity, accuracy, and the overall efficiency of the Production team. Develop and maintain robust ETL (Extract, Transform, Load) logic tailored to production requirements. Documentation & Operations Create, maintain, and update all in-scope documentation for the Production Team. Map and document comprehensive process flows for each job type within Databricks to ensure operational resilience and knowledge sharing. Cross-Functional Collaboration & Customer Focus Collaborate effectively with Account Managers, Sales, Development, and Product teams to align data outputs with business and client expectations. Actively gather and respond to feedback from stakeholders to measure customer satisfaction and continuously improve the usefulness and quality of data outputs. Training & Development Take ownership of your own learning path, setting self-objectives for skill growth, particularly in AWS and Databricks ecosystems. Promote and implement knowledge transfer amongst team members to elevate the collective technical capability of the Production team. Skills and Experience Essential Data Processing: 1-3 years of "hands-on" data processing experience, preferably working with name and address data used for marketing. Technical Proficiency: Strong practical experience with Databricks and SQL . Data Manipulation: Deep understanding of logical data manipulation processes, including data reformats, hygiene, enhancement, and deduplication. Quality Assurance: Proven ability to analyze datasets, spot anomalies, and implement rigorous testing/validation to ensure data integrity. Tools: Good working knowledge of the Microsoft Office suite (Word, Excel, Outlook). Desirable Familiarity or experience with FastStats . Programming experience in Python or similar languages used for data engineering. Basic understanding or exposure to cloud platforms, specifically AWS . Knowledge of various industry suppression files. Experience with project management or ticketing tools (e.g., ClickUp). Personal Attributes & Behaviours To succeed in this role and align with Sagacity's core values, we are looking for someone who embodies the following traits: Self-Starter & Autonomous: Highly organised, efficient, and deadline-focused. You manage your own time effectively and take the initiative to solve problems. Detail-Driven & Process-Orientated: You pride yourself on quality delivery, paying meticulous attention to detail, and ensuring completeness in all the work you do. Agile & Curious: You have an inquisitive mind, embrace change, and are never afraid to ask questions to deepen your understanding or challenge the status quo. Trusted & Customer-Focused: You build strong relationships with clients and internal stakeholders by demonstrating uncompromised integrity, openness, and accountability. Clear Communicator: You practice open, honest, and simple communication, translating complex data concepts into understandable insights for non-technical stakeholders. One Team Player: You work in unity and collaboration with colleagues and clients, treating everyone as one big team working toward a shared purpose.
