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Sr Data Analyst

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Georgia IT Inc.
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineering
Job Description & How to Apply Below

Sr Data Analyst – Job Description
Location: Remote. (PST time zone)
Visa Status: Any
Rate: Open – Competitive, based on experience

Our client is a leading product company that develops sophisticated Market Analysis platforms for large-scale clients. The focus is primarily on the Market-Media domain, delivering actionable insights that drive strategic decision-making.
Role Summary:
The Senior Data Analyst will be responsible for analyzing complex datasets, generating insights, and supporting product and business strategy. This role requires a strong understanding of data analysis, visualization, and statistical techniques in a fast-paced product-focused environment.

Key Responsibilities:

  • Collect, clean, and analyze large and complex datasets from multiple sources.
  • Design and implement dashboards and reporting tools to monitor KPIs and market trends.
  • Perform advanced statistical analysis to identify patterns, correlations, and opportunities for business growth.
  • Collaborate with product, engineering, and business teams to provide data-driven recommendations.
  • Translate complex data insights into clear, actionable business insights for stakeholders.
  • Support the development and enhancement of the company's Market Analysis platform.
  • Ensure data accuracy, consistency, and integrity across all analyses.
Required Skills and Qualifications:
  • Education: Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or related field.
  • Experience: 5+ years in data analysis, business intelligence, or related roles, preferably in Market-Media, Product, or Analytics domains.
  • Technical Skills:
    • Strong proficiency in SQL and relational databases.
    • Experience with data visualization tools such as Tableau, Power BI, or Looker.
    • Proficiency in Python or R for data analysis and statistical modeling.
    • Familiarity with big data tools and cloud platforms (AWS, GCP, or Azure) is a plus.
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