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Data Analyst & Dashboard Developer

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: DeWinter Group
Contract position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below

Overview

Title: Data Analyst

Job Type: Contract

Contract Length: 9 months

Target

Start Date:

ASAP

Work Location/Structure: Remote

About the Opportunity:

Our client, a leader in the EdTech and B2B2C industry, is looking for a skilled Data Analyst to join their team for a long-term engagement. This project involves supporting product, marketing, and customer success analytics initiatives. This is a high-impact role that requires a self-motivated professional who can hit the ground running, independently run SQL queries, create dashboards, and collaborate across stakeholders to deliver actionable insights quickly.

Responsibilities
  • Partnering with cross-functional teams on marketing attribution and influence analysis.
  • Leading product analytics and customer success initiatives to drive impact.
  • Developing and validating Key Performance Indicators (KPIs) and key metrics.
  • Designing, building, and maintaining self-service dashboards in Tableau for stakeholders.
  • Monitoring and improving data quality to ensure high integrity for all reporting.
Qualifications

Required

Skills & Experience:

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

  • 2+ years of experience in a similar data analyst role.
  • Deep expertise in SQL and Tableau, with basic to intermediate proficiency in Python. This isn't a learning role—you need to be a subject matter expert.
  • Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
  • Experience with experimental design for A/B testing and defining key metrics.
  • Strong communication skills to provide clear, structured, and concise status updates and translate data insights into business decisions for non-technical stakeholders.
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