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Fractional Data Analyst

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Gofractional
Remote/Work from Home position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Position Overview

We are seeking a highly skilled Data Analyst (Contract-to-Hire) to support our Product, Sales, and Marketing teams with actionable insights, robust data infrastructure, and strategic recommendations. You will work cross-functionally to enhance decision-making through data, while also expanding our analytics capabilities by integrating new data sources and building scalable solutions.

Key Responsibilities
  • Insights & Information Support: Partner with Product, Sales, and Marketing teams to provide insights, build reports, and answer strategic questions using internal data warehouse (DWH) and external data sources.
  • Business Intelligence Development: Design, develop, and maintain KPI dashboards and exploratory analysis in Hex
    , ensuring business stakeholders have easy access to critical metrics.
  • Strategic Decision Support: Conduct deep-dive analyses and develop data-backed recommendations to inform business strategy, go-to-market initiatives, and product development.
  • Data Integration & Expansion: Bring online new data sources (e.g., third-party tools, APIs) to enrich our data ecosystem and expand analytical capabilities.
  • Pipeline Development: Build and maintain robust, efficient data pipelines in dbt and Python to ensure clean, reliable, and up-to-date data for analysis and reporting.
  • Big Query Expertise: Leverage Google Big Query to perform advanced data analysis, optimize queries, and ensure scalability and performance of data solutions.
Qualifications
  • 3+ years of experience in a Data Analyst, Data Engineer, or Analytics Engineer role.
  • Strong proficiency with Big Query and SQL for large-scale data analysis.
  • Hands‑on experience with dbt (data build tool) for modeling and transformation workflows.
  • Proficiency in Python for data manipulation, pipeline development, and automation tasks.
  • Experience with Hex (or similar BI tools) for dashboarding, storytelling, and exploratory data analysis.
  • Strong business acumen with the ability to translate data insights into actionable recommendations.
  • Experience working with cross‑functional teams (Product, Sales, Marketing).
  • Ability to thrive in a fast‑paced, startup environment with changing priorities.
  • Excellent communication and collaboration skills.
Nice‑to‑Haves
  • Experience integrating external data sources (APIs, SaaS platforms) into internal data warehouses.
  • Background in SaaS, no‑code, or startup environments.
  • Familiarity with data governance and best practices for scalable analytics infrastructure.
What We Offer
  • Contract‑to‑hire opportunity with potential for full‑time employment.
  • Work with a collaborative and mission‑driven team.
  • Flexible remote work environment.
  • Opportunity to shape and scale data operations at a high‑growth no‑code software company.
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