Data analyst

Data analyst
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Data analyst
Data analyst
Resume examples

8Data analyst resume examples found

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Data analyst resume examples
Experience level

Data analyst

Entry level

Assess key parameters using SQL and Python to drive product development with insightful analysis and collaboration. Maintain dashboards and data warehouses to quickly deliver information. Evaluate existing practices for efficacy and accuracy.

  • Optimize existing Tableau SQL queries to process data for new product launches.
  • Increase product sales 12% via market and exploratory analyses.
  • Improve SPSS syntax execution by debugging outdated code and writing Python scripts to automate processes for integration with other applications.

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Data analyst

Entry level

Collaborated with three junior data analysts to process usable information and reported findings to appropriate managers and decision-makers. Helped to establish KPIs to evaluate the effectiveness of the company’s financial decisions, requiring the analysis of large data sets to find relevant information.

  • Analyzed large and complex data sets to detect potential issues that could lessen productivity and provided deliverable actionable insights.
  • Assisted in the development, design, and maintenance of four products of business at the company.
  • Worked with product managers and engineers to translate the analysis into meaningful impact for the business.
  • Identified actionable insights and made recommendations to project managers and cross-functional groups as directed by the supervisor.
  • Supported payment risk control team by aggregating data from various sources to construct seamless information pipelines.

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Data analyst

Entry level

Worked with senior data analysts to identify areas and opportunities for business improvement. Collaborated with junior analysts to collect and analyze data. Created and reviewed reports for internal/external stakeholders under the supervision of the senior data analyst.

  • Interpreted data and analyzed results utilizing statistical techniques and disseminated weekly reports to management.
  • Maintained dashboards and data infrastructure while supporting an infrastructure rebuild and developing tools to address the growing business needs.
  • Utilized Python and R Programming to create software to mine data and generate reports to help with the company’s decision-making process.
  • Demonstrated exceptional critical thinking when solving complex problems related to business trends and forecasts.
  • Tasked with the development and implementation of BI solutions from data modeling to analysis and visualization.

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