Build and maintain automated data pipelines, tools, and models to support revenue and pricing decisions.
Design and enhance pricing and revenue optimization algorithms.
Analyze large datasets to identify margin and revenue improvement opportunities.
Develop dashboards and reports using tools such as Tableau or Power BI.
Perform ad-hoc analyses and identify opportunities to automate recurring requests.
Validate and reconcile data across multiple systems to ensure accuracy.
Translate analytical results into actionable insights for business partners.
Support integration of acquisitions into revenue and pricing workflows.
Partner with stakeholders to understand business processes and improve performance through analytics and automation.

Bachelor’s or Master’s degree in Computer Science, Management Information Systems, Economics, Engineering, Operations Research, Mathematics, Applied Mathematics, or a related quantitative field.
Minimum 2 years of relevant professional experience in analytics, data analysis, or a related quantitative role.
Strong experience working with large datasets and applied analytics.
Proficiency in SQL and Python.
Experience with ETL tools such as Alteryx.
Experience building dashboards and visualizations (Tableau, Power BI).
Comfort implementing analytical and mathematical models.

Data Analyst

Key skills