BI Reporting Analyst

8 Days Old

BI Reporting Analyst - SQL - Tableau - Qliksense - statistical Analysis - Contract - London - Hybrid

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:

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.
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.
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.

Apply

Start a New Search