Role Overview
The Data Analyst will be responsible for designing, optimizing, and maintaining performance dashboards, building and shipping production-grade forecasting models, and delivering reusable analytical frameworks. The role will also involve evaluating and optimizing aggregation tables, automating recurring workflows, and documenting data models and business logic.
What You Will Do
The main responsibilities of the Data Analyst will include designing and optimizing performance dashboards, building and shipping forecasting models, and delivering reusable analytical frameworks. The role will also involve evaluating and optimizing aggregation tables, automating recurring workflows, and documenting data models and business logic.
Why It Might Be a Fit
To be a fit for this role, you should have strong proficiency in Python, SQL, and statistics, as well as a self-starter mentality and the ability to proactively find and close optimization gaps. Experience with modern analytics/AI tooling and data visualization tools is a plus.
Requirements
- Bachelor’s degree in a quantitative field (Statistics, Data Science, Mathematics, Computer Science, Economics, Engineering) or related discipline
- 1-2 years of relevant experience for Path A; fresh graduates with strong quantitative depth considered for Path B
- Strong proficiency in Python, SQL, and statistics
- Self-starter who proactively finds and closes optimisation gaps
- Collaborative team player who takes ownership and drives projects to completion
Benefits
- Competitive salary
- Opportunities for growth and development
- Collaborative and dynamic work environment
- Flexible work arrangements
- Professional development opportunities
To apply for this job please visit jobs.workable.com.
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