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Data Scientist III

SGS ConsultingMenlo Park, CA🇺🇸United StatesPosted 27 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Description:-

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.

Responsibilites:-

  • 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

Candidate Requirements:

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

Nice to have skills:

  • Can self manage projects- set expectations

Additional Information:

Key performance measurements:-

Ideal profile- big tech, think 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 rowsStory.

Interview:-

3 max, screen, technical, interview with a growth marketer/stakeholder

Skills

MySQL
Oracle
SQL
ETL
Tableau
Hive
Python

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