Core Responsibilities
- Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across our platform
- Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities
- Monitor pipelines for stability, suggest and enact efficiency initiatives measures
- Own projects end-to-end while communicating with stakeholders about milestones and performance
- Create engineering awareness and drive behavior change in the product organization in line with the team’s mission and goals
- Use Palantir’s platform to create data analysis and supporting visualizations
- Use Palantir’s platform to create custom applications and executive dashboards
- Articulate feedback from real-world use for Palantir’s software engineering teams to help improve Palantir’s overall offerings
- Become an expert on foundational data that underpins Palantir’s software development and internal operations
- Respond to strategic, tactical, and analytical questions from within Palantir about data and operations
What We Value
- Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work
- Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams
- Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved
- Keen interest in learning new tools and approaches to problems
- Love for bringing order to ambiguity
- Active US Security clearance or eligibility and willingness to obtain a US Security clearance is desirable
- Experience with Spark is desirable
What We Require
- Degree in Data Science, Finance, Math, Engineering, Computer Science, Economics, Business or other quantitative fields
- 1 - 3 years of experience in a data analytical role
- Expertise and experience in Python and manipulation of data to answer questions
- Experience with BI tools, SQL queries, and organizing and analyzing data

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