Why This Role Stands Out
Leverage your SQL and large-scale data manipulation expertise in this impactful hybrid role, building critical data infrastructure that directly drives family of apps success. You'll thrive here if you enjoy developing end-to-end data solutions and collaborating cross-functionally within a reputable tech company. This is a fantastic opportunity to grow your career while contributing to significant initiatives.
Quick Overview
Job Description
Start/End Dates: 11/2/2026 - 11/1/2027
Tax Work Location: US - CA - Menlo Park
Job Title: Data Analytics & Engineering - Data Analyst III
Remote
If the CW prefers to work onsite, Menlo Park office ideal profile - Data engineer with analyst ability big plus. Must have a proven record of building pipeline and SQL. Ability to build big data pipelines, think millions of rows.
Job Description: Summary
The main function of a data analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. A typical database analyst/programmer is responsible for planning, coordinating and implementing security measures to safeguard the computer database.
Must-have HARD skills
Experience in AI-centric organizations or using AI tools
SQL
Can build pipelines- guide team on best practices
Show leadership and work independently
Can self-manage projects- set expectations
Job Responsibilities:
Collaborate with growth marketers, program managers, and our central analytics team to gather data and metrics requirements.
Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data driven decisions across our team and with partner teams. (e.g. using Tableau, etc.) Build and optimize ETL processes to run marketing campaigns at scale and automate the campaign reporting Write high-quality SQL queries to retrieve and analyze data from database tables Partner with our analytics and cross-functional stakeholders to identify and rectify data integrity / accuracy issues across our reporting, data infrastructure, dashboards
Skills:
BA or BS degree
5+ years of experience with SQL (Oracle, Vertica, Hive, MySQL, etc.)
Experience building/operating distributed systems of data extraction, ingestion, and processing of large data sets from multiple sources.
Experience in ETL design, implementation and maintenance. Experience with Business Intelligence tools (such as Tableau, MicroStrategy, etc.) and report automation Experience using Python and R Self-starter with flexibility to work in a fast-changing environment and ambiguous situations Experience working in organizations with cross-functional teams Experience working independently and a track record of taking initiative Interpersonal skills — including written and oral communication skills.
Education/Experience
BA or BS degree in STEM field
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