Senior Data Analytics Engineer

DataSpring; United States; Remote; USD 95,000 - 120,000; Full time

Job summary

DataSpring is seeking a Senior Data Analytics Engineer to deliver business-critical insights through analysis, visualization, and reporting of structured data. You will build dashboards, run ad-hoc analyses, and produce recurring performance reports for multiple departments in a fully remote setting.

You should have 3–5 years of data analytics or BI experience, strong SQL and Python skills, and expertise with Power BI or Tableau.

Qualifications

• Bachelor’s degree in Business Analytics, Statistics, Economics, or related field.
• 3–5 years of data analysis, business reporting, or BI.
• Experience building executive or operational dashboards.
• Familiarity with Salesforce and HubSpot reporting is a plus.

Responsibilities

• Design, build, and maintain dashboards in Power BI or Tableau to monitor department-level and enterprise KPIs.
• Automate recurring reporting workflows using SQL, Python, data transformations, and BI tools.
• Transform data into easily digestible narratives, reports, and visualizations for stakeholders at all levels.

Skills

Excel

Python

SQL

Power BI

Tableau

Data storytelling

Communication

Education

Bachelor’s degree in Business Analytics, Statistics, Economics, or related field

Certifications in Power BI/Tableau/SQL

Tools

Salesforce reporting

HubSpot reporting

Job description

Position Summary

The Senior Data Analytics Engineer delivers business-critical insights through analysis, visualization, and reporting of structured data. This role supports multiple departments by producing dashboards, ad-hoc analyses, and recurring performance reports. The Engineer ensures that data is transformed into clear, actionable insights that support strategic and operational decisions. This role emphasizes reporting automation, metric consistency, and proactive identification of trends or issues.

This is a full-time, exempt, remote position reporting to the Senior Data and Analytics Manager.

Specific Responsibilities

Business Analysis & Reporting

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

Data Interpretation & Storytelling

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

Process Optimization & QA

• Automate recurring reporting workflows using SQL, Python, data transformations, and BI tools.
• Validate report data through systematic testing, reconciliation, and documentation.
• Collaborate with data engineers to troubleshoot issues and refine data pipelines.

Skills

• Advanced Excel, Python, and SQL skills for querying, cleaning, and analyzing data.
• Proficiency in Power BI or Tableau for dashboard development and visual storytelling.
• Strong critical thinking and communication skills to translate data into insights.
• Familiarity with performance metrics, operational reporting, and data validation practices.
• Experience with Salesforce and HubSpot reporting is a plus.

Experience

• 3–5 years of experience in data analysis, business reporting, or BI.
• Demonstrated success in building executive or operational dashboards.
• Experience working with cross-functional stakeholders
• Bachelor’s degree in Business Analytics, Statistics, Economics, or related field.
• Certifications in Power BI, Tableau, or SQL preferred.

Who We Are

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.

What You Get

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.

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.

Equal Opportunity Employer

DataSpring is proud to be an equal opportunity employer and is committed to fostering a workplace where all individuals are valued, respected, and empowered.

Employment decisions at DataSpring are made without regard to race, color, religion, sex, national origin or ancestry, age, marital status, disability, protected veteran status, personal appearance, sexual orientation, gender identity or expression, familial status, family responsibilities, matriculation, political affiliation, genetic information, source of income or any other characteristic protected by law. DataSpring does not tolerate unlawful discrimination or harassment of any kind.

95,000 - 120,000 USD per year (Remote (United States))