Senior Specialist: Analytics and Insights
2 weeks ago
The Role:
- Extracting and gathering data, including 3rd party data sources, prototyping solutions, and packaging of insights.
Skills and Experience:
- A Degree, or Higher National Diploma, or equivalent certification in an analytical field, e.g. Informatics, Data Science, Commerce
**Experience**:
- 6-10 years of experience gathering requirements and analysing data within the Customer Value Management (CVM) field
- Excellent visualization skills and storytelling capability
- SQL experience inclusive of SSAS, SSRS and SSIS will be an advantage
- Experience drawing insights from BI / analytics models
- Experience within the Customer Value Management field will be an advantage
- Experience analysing and breaking down problems and information using structured frameworks and methodologies
- Robust skills in documentation creation with a high attention to detail including planning and organization
- Ability to think analytically and conduct customer-facing communications
- Azure data services and Power BI will be an advantage
Key Accountabilities:
- Build business requirements, executes projects and derives business insights
- Locate and define new process improvements
- Complete projects/tasks assigned or working with other staff (internal /external) and following up on assigned projects/task
- Engage with customers to unpack requirements and design with for future requirements based on future needs
- Create Information and Insights Packs inclusive of PowerPoint, Dashboards or Reporting, or any fit-for-purpose information management tools.
- Create Business Requirements documents for Solutions up to Data Modelling and Data Mapping stages including Presentation Specifications (excluding Technical Specifications)
- Conducting Data Mining - Create compelling actionable insight that significantly improves knowledge of customer behaviour, and opens new commercially viable opportunities for Churn, Revenue and Margin improvement
- Turn data into actionable insights providing a better understanding of the gaps within the business. Manage the post-activity reports and in-depth performance evaluation to determine how existing decisioning rules can be enhanced to drive increased business benefits
- Interpret data, analyse results using statistical tools and provide ongoing reports
- Develop and implement data collection and data analytics processes
Acquire data from primary or secondary data sources and maintaining databases/data systems
- Identify, analyse and interpret trends in complex data sets - Understand analytical information needs: Proactively lead and identify areas of customer behaviour, and commercial base performance (inflow, base, recommitment, outflow) that require understanding.
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