Help shape how data informs product decisions across an organisation that serves over 100 million citizens worldwide.
Lead the development of Civica’s product analytics capability, creating robust data foundations, defining success metrics, and delivering insights that influence product design, customer outcomes, and commercial growth.
Build a best-in-class analytics function that combines strategic insight with technical rigour, empowering Civica’s product teams to make evidence-based decisions that directly impact public services around the world.
Develop and execute the product analytics strategy, aligning metrics and insights with Civica’s business and product objectives.
Partner with product, design, and engineering leaders to define KPIs for feature adoption, user engagement, and customer success.
Translate complex data into actionable insights that inform product roadmaps, pricing strategy, and market positioning.
Champion a culture of experimentation and continuous learning, enabling product teams to test hypotheses and measure impact.
Collaborate with Product Managers using Aha! to ensure analytics aligns with roadmap priorities and customer value.
Define and oversee data tracking in collaboration with engineering teams, ensuring reliable event collection across web and mobile products.
Work hands-on with SQL and data visualisation tools (e.g. Looker, Power BI, Tableau, or similar) to analyse large datasets and produce self-service reporting frameworks.
Use data from Pendo to measure user engagement, feature adoption, in-app feedback, and product experience metrics across SaaS products.
Collaborate with engineering on GitHub to review tracking specifications, data layer changes, and instrumentation code.
Apply quantitative methods to identify growth opportunities, measure feature impact, and guide investment decisions.
Automate recurring analyses and dashboards to support both real-time decision-making and Exec level visibility.
Partner with senior stakeholders to define analytics goals that support company OKRs and customer outcomes.
Coach and mentor teams on using analytics tools, interpreting data, and embedding a data-first mindset in product development.
Communicate insights clearly and persuasively to executives, ensuring analytics drives tangible business action.
Requirements
Proven experience as a Product Analytics Manager, Senior Product Analyst, or Data Analytics Lead within a SaaS or technology-driven organisation.
Data visualisation tools (e.g. Looker, Power BI, Tableau)
Experience with Product analytics platforms
Statistical analysis experience
Experience integrating analytics tools with Aha! for roadmap insights, Figma for design analytics, and GitHub for event tracking collaboration.
Hands-on experience designing and implementing analytics for web and mobile applications.
Strong understanding of how to pull together, user segmentation, retention analysis, and funnel optimisation data.
Ability to balance strategic insight with analytical depth — from building dashboards to influencing executive decisions.
Excellent communication skills, with the ability to explain complex findings to non-technical stakeholders.
Familiarity with data warehousing concepts
Knowledge of AI-driven analytics and predictive modelling is an advantage.
Benefits
25 Days Annual Leave + bank holidays – plus the option to buy up to 10 extra days!
Days of Difference – Up to 3 extra days off for volunteering.
Pension Contributions – 5% employer match to support your future.
Income Protection – Up to 75% salary cover for long-term illness.
Life Assurance – 4x salary tax-free lump sum.
Critical Illness Cover – £25,000 lump sum (extendable to dependents).
Private Medical Insurance – Fast access to private healthcare.
Health Cash Plan – Claim back physio, therapies & more.
Dental Insurance – Cover for routine & emergency care.
Data Analyst optimizing IoT fleet performance and enhancing device management at Gridware. Collaborating cross - functionally to forecast performance and guide operational decisions.
Senior Data Analyst at Freddie Mac developing and administering data security policies. Collaborating on Identity and Access Management best practices and reducing security risks in the organization.
Data Analytics Consultant leveraging data analytics to support program performance evaluations. Collaborating across teams and presenting insights to drive data - driven strategies in Allstate.
Area Manager providing data analytics solutions for a major Insurance Broker/Agency organization. Engaging with stakeholders to define requirements and support data initiatives.
Maven Clinic is seeking a Senior Data Analyst focusing on Customer Analytics. The role involves developing analytics solutions and delivering actionable insights to enhance client outcomes.
Student Data Analyst at Whow Games supporting player data analysis and report generation. Collaborating with data teams to enhance gameplay and monetization strategies.
Contribute to data - driven decision making in a large educational institution. Implement digital metrics and collaborate with interdisciplinary teams to enhance data solutions.
Parks Data Analyst supporting Oakland County Parks and Recreation through data collection and analysis. Collaborating on strategic planning for park operations, programming, and marketing.
Data Analyst developing data solutions for engineering projects. Collaborating with teams, ensuring data quality and integrity, and implementing robust data preparation routines.
Senior Data Analyst developing solutions in Power Platform and Microsoft 365 tools for BIP. Key responsibilities include data integration, automation, and strategic decision support.