How your CV stacks up
1Upload CV
2Analyse CV
3Improve CV
Upload your CV to see how well it fits this job role
?%
Data Analytics Manager
Reports To: Head of Data Science
Job Level: Manager
Location: UK – Hybrid
Role Type: Full-Time, Permanent
About the Role
Lunio transforms billions of ad interactions into insights that protect and optimise media spend for the world’s leading advertisers. The analytics function bridges data and decision-making, and the Data Analytics Manager will lead this mission—balancing hands-on delivery with mentorship, process improvement and tactical innovation to future-proof the team’s impact.
This role will focus on:
- Enhancing team efficiency through automation, AI-assisted tooling and better reporting, reducing reactive workloads and creating capacity for high-value analysis.
- Fostering a collaborative culture where ownership and quality are non-negotiable.
Key Responsibilities
Team Leadership & Development
- Coach and develop a team of 2 data analysts, nurturing skills, confidence and ownership.
- Cultivate a supportive, high-performing culture with opportunities for growth.
Data Service Delivery
- Own operational delivery of the analytics service:
- Triage, prioritise and execute requests efficiently, ensuring consistent high standards.
- Maintain clarity in workflows using tools like Jira for tracking and communication.
- Establish transparent SLAs and stakeholder alignment.
Hands-On Analytics & Reporting
- Drive direct analysis, reporting and dashboard development, contributing strategic insights across the business.
- Ensure reporting solutions remain accurate, impactful and aligned with stakeholder needs.
Stakeholder Partnership
- Build strong relationships across all teams, translating business goals into data-driven solutions.
- Promote evidence-based decision-making and manage expectations effectively.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Automation & Continuous Improvement
- Identify automation opportunities to streamline repetitive workflows (e.g., ML-powered triage, templating) and leverage AI tools for efficiency gains.
- Collaborate with Data Science and Engineering to embed larger-scale automation where beneficial.
Essential Skills
Technical Proficiency
- SQL and Python: Experience with independent analytical work, cloud data warehouses (e.g., AWS Redshift, Databricks) and long datasets.
- Dashboarding & BI Tools: Strong proficiency in QuickSight, Looker, Tableau or Power BI for building scalable dashboards.
- Stats & Experimentation: Mastery of foundational statistical methods (A/B testing, regression, design). Ability to translate tests into actionable insights.
- Automation & AI Tooling: Hands-on pragmatism—experience embedding AI-driven tools (not just experimentation), prioritising efficiency over novelty.
Soft & Stakeholder Management
- Prioritisation: Balance competing demands, manage Jira or equivalent tools, set clear SLAs and push back constructively.
- Analytical Communication: Turn metrics into actionable narratives, challenge bias, and escalate meaningful alerts (e.g., off-track performance) with granular insights.
- Trust-Building: Shape from a technical partner role into a strategic recommender—clients must trust your framing and recommendations.
Core Behaviours
- Autonomous Problem-Solving: End-to-end accountability: Identify → diagnose → resolve, with permission-seeking only when needed.
- Navigating Complexity: Deconstruct ambiguity, slice problems along actionable dimensions, reframe questions to reverse engineer solutions.
- Influence & Data Advocacy: Leverage insights to command outcomes—translate confusing data into bold asks and trusted interpretations.
- Growth Mindset: Continuously optimise processes, seek knowledge gaps, own practice, and champion skill development in the team.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Success Metrics (9–12 Months Expectations)
Team Efficiency
- Strengthen analytics service delivery with:
- Clear triage & visibility (e.g., dashboarded portfolio of projects and risks).
- High quality & impact as measured by stakeholder feedback and results generated.
Stakeholder Impact
- Emerge as business’s trusted data advisor, role-model of:
- timely actionable insights (e.g., <24h turnaround on critical requests).
- Confidence-drivers (e.g., playing to hard metrics and forward-looking analysis; off-track measurements for proactive ‘fix’ actioning).
Tooling & Reporting Evolution
- Introduce Banish-the-Reactive-Work numbing:
- 3x+ reduction in manual touchpoints per analyst (e.g., 90% automated financials).
- Metric maturity: reduced incomplete or confusing tracking—redefine governance to match business priorities.
Team Culture
- Build an accountability ladder:
- Coachees report increased confidence, projectèdeadlines, and ownership of their work.
- Cross-propagate culture of learning, whether software or soft skill (e.g., testing teams’ hypotheses often, selling technical answers).
Inclusivity & Diverse Perception:
Regardless of meeting all requirements, all backgrounds are welcome: As long as you can show an impact-minded culture-fit, apply ambitiously!
Trusted by 25,000+ job seekers
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
SQL
Python
Dashboarding
Reporting
Statistics
Experimentation
Automation
AI Tooling
Stakeholders Management
Analytical Communication
Storytelling
Complexity
Influence
Growth Mindset
Location