Data Analytics Engineer

People Ideas & Culture LLC
United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$95,000 - $120,000
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Data Validation Python (Programming Language) Power BI Standard Sql Salesforce.Com SQL Databases Tableau (Software) Hubspot

Requirements

  • Advanced Excel, Python, and SQL skills for querying, cleaning, and analyzing data.\n
  • Proficiency in Power BI or Tableau for dashboard development and visual storytelling.\n
  • Strong critical thinking and communication skills to translate data into insights.\n
  • Familiarity with performance metrics, operational reporting, and data validation practices.\n
  • Experience with Salesforce and HubSpot reporting is a plus.\n, * 3-5 years of experience in data analysis, business reporting, or BI.\n
  • Demonstrated success in building executive or operational dashboards.\n
  • Experience working with cross-functional stakeholders\n
  • Bachelor’s degree in Business Analytics, Statistics, Economics, or related field.\n
  • Certifications in Power BI, Tableau, or SQL preferred.\n

Benefits & conditions

  • Analyze key business processes and KPIs to identify performance trends, anomalies, and opportunities for improvement.\n
  • Design, build, and maintain dashboards and scorecards in Power BI or Tableau to monitor department-level and enterprise KPIs.\n
  • Work with stakeholders to define requirements and deliver clear, business-ready outputs\n

\n \nData Interpretation & Storytelling\n \n \n

  • Transform data into easily digestible narratives, reports, and visualizations for stakeholders at all levels.\n
  • Support leadership in making informed decisions based on data trends, historical context, and leading indicators.\n
  • Perform root cause analysis to explain unexpected performance changes.\n

\n \nProcess Optimization & QA\n \n \n

  • Automate recurring reporting workflows using SQL, Python, data transformations, and BI tools.\n
  • Validate report data through systematic testing, reconciliation, and documentation.\n
  • Collaborate with data engineers to troubleshoot issues and refine data pipelines.\n, DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.\n \n \nWhat You Get\n \n At DataSpring, you will do meaningful work at the intersection of healthcare, data, and technology, helping solve complex problems that make the healthcare system work better. You will collaborate with experienced professionals who care deeply about accuracy, trust, and meaningful impact in a fully remote environment.\n \n DataSpring offers competitive compensation and a comprehensive benefits package for full-time employees, including medical, dental, and vision coverage, a 401(k) with company contributions and matching, paid parental leave, tuition assistance, and generous paid time off. We are committed to investing in our people and supporting professional growth over time.\n \n \nEqual Opportunity Employer\n \n DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered.\n \n

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