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Senior Data Analyst

San Francisco, CA
Expired: over a month ago Applications are no longer accepted.
  • $18 to $35 Hourly
  • Full-Time
Job Description

As a Senior Data Analyst, you will be responsible for collecting, analyzing, and interpreting large volumes of data to drive business strategies and decision-making. They are seeking a candidate with experience in using visualization tools such as Tableau or Power BI to present data in an intuitive and impactful manner. This role requires a strong analytical mindset, advanced technical skills, and the ability to collaborate effectively across departments.


  • Collect, clean, and analyze large and complex data sets to identify trends, patterns, and insights.
  • Develop and implement data-driven strategies to drive business growth and optimize operational efficiency.
  • Create visually compelling dashboards, reports, and data visualizations using tools such as Tableau or Power BI.
  • Collaborate with cross-functional teams to define data requirements, metrics, and KPIs aligned with business objectives.
  • Present complex data findings and recommendations in a clear and concise manner to stakeholders at all levels.
  • Perform advanced statistical analyses to uncover correlations, forecast trends, and predict outcomes.
  • Identify data quality issues, implement data cleansing processes, and ensure data accuracy and integrity.
  • Stay up to date with emerging trends and advancements in data analysis, visualization, and relevant technologies.
  • Mentor and provide guidance to junior analysts in data analysis techniques and best practices.


  • Bachelor's in a quantitative field such as Data Science, Statistics, Mathematics, Statistics or a related discipline.
  • Minimum of 5 years of experience as a Data Analyst, with a focus on data analysis, visualization, and reporting.
  • Proficiency in using visualization tools such as Tableau or Power BI to create interactive dashboards and reports.
  • Strong SQL skills for data extraction, manipulation, and analysis.
  • Advanced knowledge of data analysis techniques, statistical modeling, and predictive analytics.
  • Experience with data cleansing, transformation, and validation.
  • Excellent problem-solving skills and the ability to work with large and complex data sets.
  • Strong communication skills, with the ability to effectively convey complex findings and recommendations to non-technical stakeholders.
  • A high level of attention to detail and a commitment to data accuracy and integrity.
  • Proven ability to work effectively both independently and in a team-oriented, collaborative environment.



San Francisco, CA



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