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Data Analyst, Sr.

Wiraa

Salary not specified
Oct 23, 2025
Remote, US
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SmartLight Analytics is looking to solve the business problem of rising healthcare costs for self-funded employers by leveraging advanced data analysis techniques to identify wasteful spending and provide actionable insights.

Requirements

  • Extensive experience with SQL (5+ years)
  • Proficiency in data analysis and visualization tools such as Tableau, Power BI, or QlikView
  • Hands-on experience with statistical software or programming languages like R, Python, SAS, or SPSS
  • Knowledge of ETL processes and data pipeline management
  • Strong understanding of healthcare claims and related data structures
  • Minimum of five (5) years of analytical experience working with healthcare claims data

Responsibilities

  • Develop analytical insights to identify payment anomalies within healthcare claims data.
  • Develop predictive models.
  • Create visualizations to aid executive decision-making.
  • Collect, clean, and analyze data from multiple sources to identify trends, patterns, and insights.
  • Apply statistical methods and advanced analytical techniques to solve business challenges and develop predictive models.
  • Create and maintain dashboards that visualize claims and eligibility data, providing strategic insights.
  • Identify opportunities to automate data workflows, streamline reporting processes, and improve efficiency.

Other

  • This position is open exclusively to legal residents of the United States of America
  • Collaborate with cross-functional teams to translate complex data findings into clear, actionable recommendations that support organizational goals.
  • Demonstrate a combination of advanced analytics capabilities and exceptional business acumen, ensuring insights are communicated effectively to both technical and non-technical stakeholders.
  • Develop a comprehensive understanding of organizational initiatives and provide analytical solutions that drive success
  • Collaborate with business stakeholders to understand their goals, challenges, and opportunities, translating these into analytical projects