Requirements

Degree in Data Science, Finance, Maths, 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

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
Experience with Spark is desirable

Partner with team members, engineering, product, and business leaders to understand current user behavior and patterns across the platform
Develop KPIs, create project plans, 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

Exciting work environment
Multi-functional exposure
Impact on Palantir’s product development, customer satisfaction, and bottom line
Opportunity to drive analysis and recommend and implement processes