Negotiable
Inside
Hybrid
London
Summary: The Product Data Analyst role focuses on leveraging digital analytics to enhance product and engagement strategies for an insurance client on a 6-month contract. The position requires expertise in data modeling, user behavior analysis, and collaboration with cross-functional teams to drive insights and improvements. The role is hybrid and classified as inside IR35, indicating specific tax implications for contractors.
Key Responsibilities:
- Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
- Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
- Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
- Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
- Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
- Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
- Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
- Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.
Key Skills:
- Strong SQL skills and experience working with large, complex data sets.
- Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
- Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
- Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
- Solid grasp of statistics, experimentation design, and causal inference techniques.
- Excellent communication and stakeholder management skills-able to influence and align diverse teams.
- Demonstrated team leadership or people management experience.
- Experience working with multi-tenant platforms or white-labelled products.
- Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
- Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
- Knowledge of privacy regulations and data handling best practices in financial services.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Product Data Analyst- Pensions
We are currently recruiting for a Product Data Analyst with digital analytics experience to join one of our Insurance clients on a 6-month contract.
Inside IR35
Hybrid
Responsibilities:
- Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
- Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
- Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
- Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
- Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
- Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
- Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
- Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.
Skills
- Strong SQL skills and experience working with large, complex data sets.
- Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
- Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
- Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
- Solid grasp of statistics, experimentation design, and causal inference techniques.
- Excellent communication and stakeholder management skills-able to influence and align diverse teams.
- Demonstrated team leadership or people management experience.
- Experience working with multi-tenant platforms or white-labelled products.
- Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
- Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
- Knowledge of privacy regulations and data handling best practices in financial services.
Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.