Senior Data Analyst - Labs at Poa Internet

Overall Responsibility

Using analysis to drive forward the business' understanding of key metrics and predict future performance; designing M&E plans around new interventions and using the results to inform data-driven decision making.

Responsibilities

Key SMART Results for A-Player Success

• Ability to generate 100% of all "business as usual" and on demand analytical reports for various teams within the existing reporting structures on agreed time frames.
• Own statistical analysis of multiple projects, both assigned and self started by collecting, organising and visualising the data in an easily understandable way by the stakeholders.
• Create predictive models incorporating different scenarios to analyse and forecast what happens with different business use cases
• Work with stakeholders to develop data-driven actionable recommendations
• Define metrics, set up, and maintain reporting dashboard for new poa Labs test project; continuously improve reporting according to objectives of the project
• Work with Research and Design teams to design and evaluate initiatives through statistical hypothesis testing
• Implement the next level data visualisation tool for poa that can be easily accessible, understood and utilised by 100% of all mid level managers and 50% of staff.
• Take an active role in up-skilling fellow colleagues about data, analysis and how to apply analytical tools in their day to day work e.g google sheets

Key Competencies

• Firm grasp of using business data analytical tools (e.g Excel,SQL, Python) to analyze data
• 3+ years experience with doing large and complex descriptive, predictive and prescriptive analysis
• An analytical thinker who gives data a voice by translating it in a manner easily understandable by all stakeholders
• Ability and willingness to learn and adapt to new analytical tools
• Proficient with data visualisation tools such as Power BI, data studio or Tableau

Mandatory Criteria if Any with no exceptions to hire.

• Must have owned end-to-end data projects, from definition to delivery
• Must have minimum 2 years experience (3+ years preferred) as a data analyst working with large datasets.