To drive data strategy and execution across a best-in-class portfolio of data products for investors, driving product success through a focus on accuracy, client value, and efficiency
Requirements
- 5+ years of experience in data analytics, forecasting, or business intelligence, including 1-2 years in a management or lead capacity
- 3+ years of experience working with SQL, Python, Pyspark, or other programming languages to explore and transform large, complex datasets
- Proficiency with GitHub and familiarity with Databricks
- Strong communication skills and ability to work and project manage effectively with stakeholders across both technical and non-technical teams
Responsibilities
- Own data strategy and execution for a portfolio of high-impact data products for investors
- Work with massive amounts of data to help answer investor key questions about the sectors we cover and datasets we analyze
- Tackle complex data problems, using analytical skills to optimize methodologies, test new datasets, and solve data-related problems that require innovative solutions
- Drive standardization, simplification, and improvements to our data pipelines and workflows to minimize risk and maximize efficiency and value
- Partner cross-functionally with other teams, including Research and Engineering, to uncover and execute on opportunities to further drive customer value and optimize our processes and pipelines
Other
- Strong ownership and entrepreneurial mentality and enthusiasm about working with others to make a big impact
- Ability to work and project manage effectively with stakeholders across both technical and non-technical teams
- Flexible work hours, an open vacation policy, a generous 401K match, parental leave, team events, a wellness and work-from-home budget, learning reimbursement, and more!
- Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
