Product Analyst | Candy Crush Saga
4 weeks ago
Data, Analytics & Strategy Job Description: The job of a product analyst (PA) is to drive the experimentation cycle to build insights to improve our understanding and decision making, in collaboration with product managers. The PA works multi-functionally with developers, data scientists and operators. Mostly using existing tooling, the PA conducts analyses and makes clear recommendations on how to deliver value to our players and business. Accountability (outcomes)
What is the Product Analyst accountable for? Insights
- Making sure that product or feature development is supported from an analytical performance perspective.
- Taking ownership of experimentation cycles, from start to end in problem formulation to solution implementation.
- Support the product/feature maturity and delivery with evaluation, recommendations, and performance reporting.
- Identify data-driven opportunities to support PMs with data/tech coordination and analysis.
- Work on problems both with and without predefined solutions or operational guidelines.
- Use knowledge about existing tools, methodologies, and insights to both deepen analytical understanding (learn and explore) and apply these to different problems.
- Identify relevant KPIs quickly and focus analysis on those.
- With support, slice work smartly to deliver value continuously and mitigate risk.
- Ensure a consistent volume of experiments and analysis output.
- Effectively share the right insights from analysis with colleagues so that they can use learnings or make decisions based on the analysis.
- Clearly communicate updates of ongoing work either through already existing forums or by request.
- Collaborate with Product managers, Data Scientists, Engineers, and Commercial leaders to deliver business impact.
What are the key background skills or experience needed for the role?
- BS or master's degree in mathematics/ statistics/ analytical field.
- Experience working with data using SQL; adept in visualization tool(s) with experience in information visualisation and presentation.
- Academic or working experience with programming principles. Practical experience with an analytical programming language such as R or Python for data manipulation is a plus.
- Experience with project management in small scale and best practices implementation.
- Demonstrated experience with some or all the following: data modelling, data visualization, statistics, product design cycles, experimental design.
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