Data analytics manager

Data Analytics Manager

Reports To: Head of Data Science

Job Level: Manager

Location: UK - Hybrid

Role Type: Full-Time, Permanent

Role Purpose

Lunio helps the world's leading advertisers protect and optimise their media spend, processing and analysing billions of ad interactions. The analytics function plays a critical role in this mission, transforming large-scale data into insights that drive decision-making for both our customers and internal teams.

The Data Analytics Manager will lead the analytics function, combining hands-on analytical delivery with the coaching and development of a small team of analysts. A key focus of the role will be improving the efficiency and impact of the team through automation, AI-assisted workflows and better reporting, reducing avoidable reactive work and creating capacity for higher-value analysis, while fostering a collaborative culture that supports growth, ownership and high-quality delivery.

Key Responsibilities

• Team Leadership & Development: Coach, and mentor a team of 2 data analysts, fostering a positive culture where people feel supported and motivated to grow.
• Data Service Delivery: Own the day-to-day operation of the analytics service, ensuring requests are effectively triaged, prioritised and delivered to a high standard. Maintain clear workflows and visibility through Jira, enabling effective planning and communication of progress.
• Hands-On Analytics & Reporting: Contribute directly to analysis, reporting, dashboard development and experimentation, delivering high-quality analytical outputs that support decision-making across the business. Ensure dashboards and reporting solutions remain accurate, relevant and aligned to stakeholder needs.
• Stakeholder Partnership: Build strong relationships across the business, translating stakeholder needs into analytical solutions, managing expectations, and promoting data-driven decision making.
• Automation & Continuous Improvement: Identify opportunities to automate repetitive analytical workflows and leverage AI-assisted tooling to improve team efficiency, scalability and impact. Work closely with Data Science and Engineering teams to deliver larger automation and tooling initiatives where appropriate.

Skills

SQL & Python

Strong SQL and Python skills with the ability to work independently on complex analytical problems and large datasets in cloud data warehouses (e.g. AWS Redshift, Databricks etc.)

Dashboarding & Reporting

Strong experience building and maintaining dashboards in BI tools such as QuickSight, Looker, Tableau, or Power BI.

Statistics & Experimentation

Solid understanding of statistical concepts (i.e. A/B testing, regression analysis, and experimental design).

Automation & AI Tooling

Curious and pragmatic about AI-assisted tooling, has practical experience embedding it to free up analyst time by automating repetitive workflows, not just experimenting.

Stakeholders Management

Proven ability to manage competing priorities, triage requests, and communicate effectively with stakeholders across the business, and push back when needed. Comfortable operating ticketing systems such as Jira, managing expectations, and ensuring work is delivered consistently and at a high standard establishing clear SLAs

Analytical Communication & Storytelling

Able to turn data into compelling and actionable narratives. Thinks beyond the obvious metrics, identifies meaningful insights and alternative perspectives, and helps stakeholders understand what actions to take.

Behaviours

Autonomy

Takes ownership of problems from identification through to resolution. Comfortable making decisions independently, seeking guidance when appropriate, and ensuring work progresses reliably.

Complexity

Able to structure ambiguous business questions, break down complex problems into manageable components, and apply sound analytical thinking to reach practical conclusions.

Influence

Builds trusted relationships across the business, communicates insights clearly, manages expectations effectively, and uses data to support decision-making and drive action.

Growth Mindset

Actively seeks opportunities to improve or automate processes, develop new skills, and adopt better ways of working. Encourages learning, experimentation, and continuous improvement within the team.

Success Metrics

In your first 6 to 12 months, we would expect to see:

• Strengthen the analytics service with clear prioritisation, effective triage processes, strong visibility of work, and consistently high-quality delivery.
• Build strong relationships with stakeholders across the business, becoming a trusted partner who provides timely, actionable insights and manages expectations effectively.
• Identify and implement automation and AI-assisted workflows that reduce manual effort, improve delivery speed, and increase the team's capacity for higher-value analytical work.
• Evolve the reporting framework to better connect business objectives to meaningful metrics. Give stakeholders confidence in the metrics they use, visibility into performance, and early warning signals when performance is at risk, with clear recommendations and follow-up actions when metrics move off track.
• Create a supportive and accountable team environment, helping analysts develop their skills, grow in confidence and deliver high-quality work.

We're committed to building a diverse and inclusive team where people feel valued, supported and able to do their best work. We welcome applications from people of all backgrounds and experiences, and recognise that great candidates don't always meet every requirement listed in a job description. If you're excited about the role and believe you could make a positive impact at Lunio, we'd encourage you to apply.