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.