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Data Analyst
Data AnalystAd Atlantic • Atlanta, GA, US
Data Analyst

Data Analyst

Ad Atlantic • Atlanta, GA, US
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  • [job_card.full_time]
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Job Description

Data Analyst

We are seeking a highly skilled Data Analyst with 3-5 experience working in Corporate America to support business-critical analytics initiatives across project planning, execution, and performance measurement. This role is ideal for a data professional who excels at transforming complex data into meaningful insights, building advanced analytics solutions, and partnering with stakeholders to drive informed decision-making.

What You’ll Do

  • Support all phases of data collection, assessment, reporting, and delivery
  • Lead data-driven initiatives, including requirements gathering and analysis of business needs
  • Develop advanced queries across multiple systems using SQL and related tools
  • Design, build, and maintain dashboards, reports, and visualizations using Power BI and other analytics platforms
  • Analyze data to identify trends, patterns, and opportunities, including predictive insights
  • Ensure data quality, accuracy, and consistency across systems and reports
  • Present findings and recommendations to leadership to support operational decisions, process improvements, and change initiatives
  • Implement automation and process improvements to increase efficiency
  • Identify new research opportunities, conduct analysis, and communicate results to stakeholders
  • Mentor and guide junior analysts through training and ongoing support

What We’re Looking For

  • 3–5 years of experience in analytics-focused roles with hands-on experience building and managing analytics solutions. This corporate role must be a USA organization.
  • Bachelor’s degree in Business, Analytics, Statistics, or a related analytical or technical field (or equivalent experience)
  • Strong background in data analysis, statistics, and quantitative methods
  • At least 3 years of experience developing dashboards and data visualizations using Power BI
  • Advanced SQL experience, including complex queries and views
  • Experience with data mining and predictive modeling techniques (Python and / or R preferred)
  • Ability to translate data insights into clear, actionable business recommendations
  • Strong communication skills with the ability to engage effectively with senior leaders and cross-functional teams
  • Experience in the Insurance industry is a plus
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