Staff Data Analyst

Findem•San Francisco Bay Area, CA

19d•$140,000 - $160,000•Remote

About The Position

What is Findem: Findem is HR 2.0. We’re a fast-growth startup with an ambitious vision and the technology to back it up. Our People Intelligence platform uses true AI and machine learning to provide critical solutions for talent acquisition and people analytics functions. With the deep insights that our platform provides, companies can build more engaged and diverse teams, and close their talent gaps faster. We have an amazing opportunity to establish ourselves as leaders in this space, and we need strong advocates to help us achieve that goal. We’re backed by top-tier investors including Wing Venture Capital – the same firm that backed Snowflake, Cohesity, and Gong. Findem powers businesses across scaling, pre-IPO, and publicly traded companies who trust us to solve their biggest HR and Talent challenges. We have an incredibly skilled and collaborative team that values curiosity, diversity, openness and building great experiences every day for our customers. Our PM team tends to attract scrappy, collaborative, high-ownership, customer-driven innovators. Emojis, jokes, and pet pictures flow freely in our Slack. Why We Need You: We're looking for a seasoned Staff Data Analyst to lead company data cleanup efforts across Engineering and Research, taking feedback from Product/ESP/IA and integrating that into company cleanup by prioritizing segments and features of companies that are most relevant to our customers and most in need of cleanup until we have the most accurate and comprehensive company data in the industry (including from AI-derived sources).

Requirements

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
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

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.