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 center data, including understanding of metrics and KPIs relevant to call center 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.