BI Reporting Analyst

BI Reporting Analyst - SQL - Tableau - Qliksense - statistical Analysis - Contract - London - Hybrid * Location: London, Victoria * Pay Rate: £280 per day Inside IR35 * Duration: 12 Months * Working situation: 3 days per week in the office My client who are leaders in their field are looking for a BI Reporting Analyst to join them on an initial 12 month contract. Key Responsibilities: 1. Dashboard Development: * Design and build interactive and Customer Success dashboards to report on retention and revenue generating activities activities. * Develop and maintain robust and scalable ETL processes to support dashboard creation and data integration. * Utilize SQL and Python to query databases, perform data manipulation, and automate analysis processes. 2. Experimentation: * Support experimentation efforts of our Growth & Retention organization by analysing and reporting on A/B testing results. * Provide historical data for key metrics to help establish baseline performance and experiment targets. 3. Collaboration: * Work closely with Customer Success, Sales, and Marketing teams to understand reporting needs and refine dashboard functionalities. * Present findings and insights to business stakeholders and executives in a clear and concise manner Key Skills/Experience: * Technical Skills: * High proficiency in SQL. * Proven experience in building dashboards in Tableau and Qliksense (or similar reporting tools). * Familiarity with ETL tools and processes. * Experience with A/B testing methodologies and analysis. * Industry Experience: * 3+ years of relevant experience working with call centre data, including understanding of metrics and KPIs relevant to call centre operations. * 3+ years of relevant experience working with web data and understanding of digital support tools and KPIs. * Professional Requirements: * A track record of delivering easy-to-use dashboards for business stakeholders and executives. * Strong problem-solving skills and the ability to work independently. * Excellent communication skills for presenting analysis and insights to non-technical stakeholders. * Ability to manage time effectively and prioritize tasks to meet project deadlines. * Knowledge of statistical analysis and predictive modeling. * Experience working in a fast-paced, dynamic environment