Data Scientist III- #26-17469

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.

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.

Qualifications

• BA or BS degree in STEM field.
• 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.

Preferred Skills

• Experience in AI-centric organizations or using AI tools.
• Can build pipelines and guide team on best practices.
• Show leadership and work independently.
• Can self-manage projects and set expectations.

Key Requirements

• Proven record of building pipeline and SQL.
• Ability to build big data pipelines handling millions of rows; comfortable working with very large data sets (big company experience preferred).
• Bachelor's degree required (STEM ideal).

Duration: 12+ months
Remote: Yes (onsite option available in Menlo Park, CA)
Interviews: 3 maximum (screen, technical, growth marketer/stakeholder)