Findem is looking to solve the problem of inaccurate and incomplete company data, which is critical for talent acquisition and people analytics functions, by hiring a Staff Data Analyst to lead company data cleanup efforts across Engineering and Research.
Requirements
- SQL/NoSQL/Python for data extraction @ expert level
- Spreadsheet-based workflows @ expert level
- Data visualizations
- Able to structure work at program level, independently managing toward a goal
- Project management across Research, Engineering, Product
- Data cleansing/debugging/RCA with messy data
- Expert-level proficiency in Python, SQL, and NoSQL
Responsibilities
- Identify and evaluate opportunities to improve data quality across the organization, proactively determining the most efficient strategies for data cleanup and optimization
- Develop creative solutions to resolve complex data issues, applying analytical judgment to balance effort, impact, and business value
- Direct Research projects to uncover opportunities and drive progress on cleanup
- Prioritize Engineering efforts and track results over time to meet deadlines
- Leverage expert-level proficiency in Python, SQL, and NoSQL to transform, cleanse, and extract data, delivering accurate and well-structured datasets for both technical and non-technical stakeholders
- Translate complex data findings into clear, actionable insights for diverse audiences
- Maintain high standards for data governance, quality assurance, and documentation
Other
- 8-12 years of escalating levels of responsibility in a role blending data analytics and operations at a management consulting firm or large SaaS company
- Competitive base + performance-based compensation
- Unlimited PTO
- Generous healthcare coverage for you and your family
- Home office and productivity setup stipend
