SQL Data Analyst - SQL - Tableau - Qliksense - statistical Analysis - Contract - London - Hybrid
Posted Today by Jobserve
£280 Per day
Inside
Hybrid
London
Summary: The SQL Data Analyst role involves developing interactive dashboards and conducting statistical analysis to support business decisions. The position requires collaboration with various teams to refine reporting needs and present insights effectively. This is a contract position based in London, with a hybrid working arrangement. The ideal candidate will have strong SQL skills and experience with BI tools like Tableau and Qliksense.
Key Responsibilities:
- Design and build interactive dashboards to report on retention and revenue generating activities.
- Develop and maintain ETL processes to support dashboard creation and data integration.
- Utilize SQL and Python for data manipulation and automation of analysis processes.
- Support A/B testing efforts by analyzing and reporting results.
- Provide historical data for key metrics to establish baseline performance.
- Collaborate with Customer Success, Sales, and Marketing teams to understand reporting needs.
- Present findings and insights to business stakeholders and executives.
Key Skills:
- High proficiency in SQL.
- Experience in building dashboards in Tableau and Qliksense.
- Familiarity with ETL tools and processes.
- Experience with A/B testing methodologies.
- 3+ years of experience with call center data and relevant KPIs.
- 3+ years of experience with web data and digital support tools.
- Strong problem-solving skills and ability to work independently.
- Excellent communication skills for presenting analysis to non-technical stakeholders.
- Knowledge of statistical analysis and predictive modelling.
- Experience in a fast-paced, dynamic environment.
Salary (Rate): £280 per day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Detailed Description From Employer:
SQL Data Analyst - SQL - Tableau - Qliksense - statistical Analysis - Contract - London - Hybrid
- Location: London, Victoria
- Pay Rate: £280 per day Inside IR35
- Duration: 3 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:
- 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 modelling.
- Experience working in a fast-paced, dynamic environment.