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Data Analyst

3 months ago

San Francisco, California, United States Insight Global Full time

Data Analyst Position: The role of the Data Analyst involves conducting comprehensive data analyses to support the development of innovative analytical solutions. Leveraging their technical expertise, they ensure data accuracy and quality, and then transform, design, and present it in ways that facilitate informed, data-driven decision-making for individuals, businesses, and organizations.

Responsibilities:
  • Collaborate with data engineers and data scientists to obtain and validate data from various sources, documenting data lineage.
  • Develop and implement data analyses, data collection systems, and strategies to enhance advanced analytics.
  • Understand and communicate data coverage across multiple dimensions, identifying how gaps may affect business needs.
  • Review reports and performance indicators to filter and cleanse data, rectifying code or data issues.
  • Analyze and interpret diverse data types, including intricate datasets supporting new product initiatives and customer usage data for new products.
  • Conduct analyses to guide data-driven decisions by the product team and identify opportunities for process enhancements.

We are a company dedicated to fostering diverse and inclusive environments where individuals can authentically express themselves every day at work. As an equal opportunity/affirmative action employer, we value the unique contributions of every individual. Qualified candidates will be considered for employment regardless of race, color, religion, gender, sexual orientation, age, disability, veteran status, or any other characteristic protected by applicable laws.

For any accommodation needs due to a disability during the application process, please reach out to us. To learn more about how we handle your private information, please review Insight Global's Workforce Privacy Policy.

Pay Range: $ /hr
  • 3-5 years of experience with expertise in data models, database design, data mining, and segmentation techniques.
  • Proficient in reporting platforms like Business Objects, Cognos, Power BI, and Tableau.
  • Familiarity with SQL and programming languages such as Python and Scala, with a focus on SQL & Python.
  • Demonstrated proficiency in data visualization tools, especially Tableau and Power BI.
  • Excellent communication skills to convey technical concepts clearly to non-technical audiences.