Senior Data Analytics Engineer
About The Position
The Senior Data Analytics Engineer delivers business-critical insights through analysis, visualization, and reporting of structured data. The role supports multiple departments by producing dashboards, ad-hoc analyses, and recurring performance reports, transforming data into clear, actionable insights for strategic and operational decisions. It emphasizes reporting automation, metric consistency, and proactively identifying trends or issues. This is a full-time, exempt, remote position reporting to the Senior Data and Analytics Manager. The role works with stakeholders across the organization and collaborates with data engineers to support reliable reporting and data pipelines.
Requirements
- 3–5 years of experience in data analysis, business reporting, or BI.
- 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.
- Demonstrated success in building executive or operational dashboards.
- Experience working with cross-functional stakeholders.
- Bachelor’s degree in Business Analytics, Statistics, Economics, or a related field.
Nice To Haves
- Experience with Salesforce and HubSpot reporting.
- Certifications in Power BI, Tableau, or SQL.
Responsibilities
- 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.
- Transform data into digestible narratives, reports, and visualizations for stakeholders at all levels.
- Support leadership decision-making using data trends, historical context, and leading indicators.
- Perform root cause analysis to explain unexpected performance changes.
- 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.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- 401(k) with company contributions and matching
- Paid parental leave
- Tuition assistance
- Generous paid time off
- Professional growth support
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What This Job Offers
Job Type
Full-time
Career Level
Senior
