Senior Data Analytics Engineer

DataSpring is hiring a Senior Data Analytics Engineer to deliver business-critical insights through analysis, visualization, and reporting of structured data. The role supports multiple departments with dashboards, ad-hoc analyses, recurring performance reports, and reporting automation to inform strategic and operational decisions.

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 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
• 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

Requirements:

• 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
• 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
• Experience with Salesforce and HubSpot reporting is a plus
• Certifications in Power BI, Tableau, or SQL preferred