Data Analytics & Insights Lead — AI-powered & Self-Service

Interactive Investor; Leeds; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Group Personal Pension Plan

Life Assurance

Private Medical Insurance

25 Days Annual Leave

Staff Discounts

Well-being Fund

Retail Discounts

Voluntary Flexible Benefits

Job summary

Interactive Investor is seeking a Data Analytics and Insights Manager to lead the analytics centre of excellence, shaping what to measure, building an prioritised analytics roadmap, and ensuring trusted data for decision-makers across the business. You’ll drive self-service adoption and maintain data quality and semantic consistency.

You will mentor a team of Data Analysts, collaborate with Data Engineering, Data Science, and business units, and champion AI-enabled analytics to accelerate

Qualifications

• Experience with modern BI and reporting tools (e.g. Power BI).
• Proven ability to lead analytics strategy, roadmaps and governance.
• Strong data modelling, metrics governance, and semantic layer experience.
• Experience building data products and self-service analytics.

Responsibilities

• Define analytics-as-a-service strategy and prioritised briefs.
• Own analytics roadmap and governance across data platform and teams.
• Lead, mentor, and grow a team of Data Analysts.
• Deliver analytics that drive commercial performance, product improvement and customer experience.
• Ensure data quality, discoverability, and metadata standards across the estate.
• Partner with cross-functional teams to deliver AI-enabled self-service analytics.

Skills

Advanced SQL

Data modelling

Data visualization

Applied statistics

Power BI

Streamlit

Stakeholder management

People leadership

Tools

Dagster

CI/CD

Snowflake

BigQuery

Job description

Interactive Investor is seeking a Data Analytics and Insights Manager to lead the analytics centre of excellence, shaping what to measure, building an prioritised analytics roadmap, and ensuring trusted data for decision-makers across the business. You’ll drive self-service adoption and maintain data quality and semantic consistency.

You will mentor a team of Data Analysts, collaborate with Data Engineering, Data Science, and business units, and champion AI-enabled analytics to accelerate