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.
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