Data Analytics and Insights Manager

interactive investor

. Define the analytics-as-a-service strategy and determine what the business needs to measure .

Posted 11/6/2026full-timeManchester • United KingdomMid-LevelSenior💰 £60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities with expertise in SQL, data modeling, and visualization, while effectively translating business needs into actionable analytics strategies. Proven experience in managing teams, ensuring data governance, and driving self-service analytics adoption across organizations.

Highest-signal resume keywords

Advanced SQLData ModellingPower BIGoogle AnalyticsData Governance

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Hard Skills

Applied StatisticsData VisualisationMetric GovernanceA/B TestingData Catalog ManagementAI-Driven AnalyticsDigital AnalyticsAnalytics EngineeringVersion ControlAutomated Testing

Soft Skills

Stakeholder ManagementCommunication SkillsTeam LeadershipMentoringKnowledge Sharing

Tools & Technologies

StreamlitMatomoSnowflakeBigQueryDagster

Industry Keywords

GDPRCookies PolicyData PrivacyAnalytics RoadmapSelf-Service Analytics

Tech Stack

Tools & technologies

BigQueryCloudSnowflakeSQL

About the role

Key responsibilities & impact

Define the analytics-as-a-service strategy and determine what the business needs to measure
Engage stakeholders and translate business needs into prioritised analytics briefs
Own the analytics roadmap across people, process, and priority
Collaborate with Data Engineering and Platform and Data Science and Enterprise AI teams to shape feasibility and deliver joined-up outcomes
Drive adoption of insights in business decisions and grow self-service analytics
Build and maintain lightweight data products such as Streamlit apps
Deliver analysis and management information supporting commercial performance, product improvement, customer experience, and operational efficiency
Agree and monitor business KPIs and report on their meaning
Analyse customer behaviour, needs, and journeys to support personalisation, targeting, and product decisions
Support experimentation and A/B testing
Own governed metric definitions, semantic layer, data catalog, and data ontology
Set standards for modelling, version control, testing, documentation, and peer review
Monitor and improve data quality and maintain a healthy reporting estate
Define analytics requirements for data governance and privacy, including web and mobile analytics
Ensure compliance with Cookies Policy, GDPR, and other applicable obligations
Apply Enterprise AI Centre of Excellence standards to AI-assisted analytics
Participate in risk management and root cause analysis
Lead, mentor, and develop a team of Data Analysts
Support hiring, onboarding, and capability development
Communicate progress, impact, and trade-offs to senior stakeholders
Facilitate knowledge sharing and advocate for good analytics practice

Requirements

What you’ll need

Strong hands-on analytical capability: advanced SQL, data modelling, visualisation, and applied statistics
Experience with modern BI and reporting tools, such as Power BI, and lightweight app frameworks such as Streamlit
Experience defining and governing metrics, including semantic layer or single-source-of-truth approaches
Solid understanding of digital analytics platforms, such as Google Analytics and Matomo, and of journeys, cookies, and tracking methods
Hands-on experience embedding AI as a core, everyday tool in analytics workflows, such as AI coding assistants and LLM-based analysis agents
Experience enabling AI-driven self-service analytics, such as natural-language querying grounded in governed semantic views
Experience owning or maintaining a data catalog, metadata, and ontology/taxonomy, alongside metric governance
Proven experience managing and mentoring a team of data professionals
Ability to translate business strategy into an analytics roadmap and prioritise transparently across competing demands
Excellent stakeholder management and communication skills across technical and non-technical audiences
Working knowledge of data governance and privacy obligations, including GDPR
Experience ensuring analytics outputs are accurate, documented, and appropriately controlled
Valuable: Analytics engineering practice including Dagster, version control, CI/CD, and automated testing
Valuable: Experience with cloud data platforms, such as Snowflake or BigQuery

Benefits

Comp & perks

Group Personal Pension Plan – 8% employer contribution and 4% employee contribution
Life Assurance and Group Income Protection
Private Medical Insurance – Provided by Bupa
25 Days Annual Leave, plus bank holidays
Staff Discounts on our investment products
Personal & Well-being Fund – Supporting your physical and mental wellness
Retail Discounts – Savings at a wide range of high street and online retailers
Voluntary Flexible Benefits – Tailor your benefits to suit your lifestyle