Data Analyst

This range is provided by Ad Atlantic. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$80,000.00/yr - $90,000.00/yr

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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.

• 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

• 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

Entry level

Full‑time

Analyst and Finance

Insurance

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