DataSpring Logo

DataSpring

Senior Data Analytics Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
95K-120K Annually
Senior level
Remote
Hiring Remotely in United States
95K-120K Annually
Senior level
Builds business-critical dashboards, scorecards, reports, and ad hoc analyses using SQL, Python, Excel, Power BI, and Tableau. Analyzes KPIs, identifies trends and root causes, automates recurring reporting, validates data, and translates complex findings into actionable insights for stakeholders and leadership. The role collaborates with data engineers and cross-functional teams to improve reporting workflows, data pipelines, and decision-making.
The summary above was generated by AI


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.

Applicants have rights under the Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), and the Employee Polygraph Protection Act (EPPA). If you need a reasonable accommodation to apply for a posted position, please contact the DataSpring People & Culture team at [email protected] or 202-517-0436.

Similar Jobs

9 Days Ago
Remote or Hybrid
172K-301K Annually
Senior level
172K-301K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.
Top Skills: AIAmazon KinesisApache PulsarCloud InfrastructureColumnar DatabasesElasticsearchGoJavaKafkaKubernetesLlmsObject StorageOpensearchOpentelemetryPythonRustScalaTime-Series Databases
12 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architects the data and AI foundation for marketing, sales, and analytics. Responsibilities include building Databricks pipelines, Gold Layer tables, semantic models, documentation, AI-enabled data products, and production LLM or agent systems. The role leads cross-functional initiatives, translates ambiguous business needs into scalable solutions, ensures data quality and reliability, mentors engineers, automates workflows, and partners with BI, data science, marketing, sales, and R&D teams.
Top Skills: Ai AgentsBigQueryClaude CodeCursorData WarehousesDatabricksDbtEtl/EltLakehouse ArchitecturesLlmsMarketing AutomationMartechPythonSalesforceSemantic LayersSnowflakeSQLStreamlitWeb Analytics
17 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
137K-231K Annually
Senior level
137K-231K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Architect and own marketing data infrastructure, including Databricks pipelines, Gold Layer tables, semantic models, and documentation for self-service analytics. Lead cross-functional data initiatives, ensure reliability and quality, mentor engineers, and build production LLM and agent systems. Translate ambiguous business needs into scalable solutions, automate marketing and go-to-market workflows with AI, and deliver high-quality Python and SQL while overseeing AI-generated code.
Top Skills: Ai AgentsBigQueryClaude CodeCursorDatabricksDbtLlmsPythonSalesforceSnowflakeSQLStreamlit

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account