Senior Insight Analyst

Senior Insight Analyst Job Description Template

Our company is looking for a Senior Insight Analyst to join our team.


  • Work on operational data and build dashboards to identify KPI’s;
  • Perform customer/marketing analytics and also derive insights from data;
  • Work cross-functionally with sales, marketing and finance teams;
  • Responsible for quantifying costs and benefits associated to change programs and their integration into our resource plans;
  • Segment customers and carry out analysis;
  • Analyse campaigns and develop improvements for future ones;
  • Work alongside senior stakeholders to provide actionable insight to improve business strategy;
  • Develop and implement the analysis dashboards for key stakeholders using the provided tools and systems (R, R-Shiny);
  • Use a confidence-based approach to make recommendations on how much benefit we can allocate against our budget assumptions;
  • Proactively work with key agencies, partners and other third parties to support customer analysis requirements;
  • Analysing overall company performance;
  • Forecasting.


  • Customer Analytics knowledge ideal;
  • R needed for data manipulation and analysis to provide insight;
  • Highly numerate with strong analytical & problem-solving skills;
  • Experience of translating complex analysis and data into a simple story that is understandable, authoritative, digestible and compelling;
  • Practical knowledge of how to use the latest analytical thinking in a commercial environment;
  • Have experience of multiple insight tools including Alteryx, Power BI, Tableau, SQL or similar;
  • Highly capable in using PowerPoint to communicate complex analysis simply & compellingly;
  • Understanding of analysis techniques;
  • Background in using data and insight to constructively challenge the status-quo and organisational myths;
  • Comfortable working with executives; providing professional, accurate, and strategic advice;
  • Skills to collaborate with and influence virtual teams to deliver change;
  • Ideally experience performing customer analytics within a commercial environment;
  • Ability to model in Python/R;
  • A/B testing;
  • SQL for data extraction and Power BI for dash boarding.