Build and own the semantic layer that powers analytics across customers, operations, commercial teams, and executive leadership
Design, develop, and maintain dashboards, reports, and KPIs that support business decision-making and customer value visibility
Define and measure customer outcome metrics, including ROI, energy savings, operational efficiencies, and avoided costs
Translate business and operational requirements into scalable data models, reporting solutions, and analytical products
Ensure data quality, consistency, lineage, governance, and reliability across analytical models and reporting assets
Collaborate closely with Engineering to improve data structures, optimize analytical performance, and ensure data is analytics-ready
Help drive the transition from traditional BI tools into native reporting experiences within the Keedian platform
Contribute to the evolution of Keedian’s intelligence capabilities, including benchmarking, predictive analytics, fault detection, and optimization initiatives
Document best practices and help scale the company’s analytics capabilities as the platform grows

4+ years of experience in Analytics Engineering, Business Intelligence, Data Analytics, or related data roles
Experience building semantic layers, reporting frameworks, or customer-facing analytics solutions
Proven experience creating dashboards, KPIs, and reporting products from large datasets
Experience working with time-series, telemetry, operational, or IoT-related data
Experience collaborating with both technical and business stakeholders
Experience owning analytics solutions end-to-end, from modeling through reporting
Advanced SQL, including query optimization and data modeling
Strong Python for data analysis and transformation
Experience with dbt or similar data modeling frameworks
Experience with BI and visualization tools such as Power BI, Tableau, Looker, or Metabase
Experience working with AWS data services, including S3 and Athena
Strong understanding of dimensional modeling and analytics engineering best practices
Familiarity with data quality, testing, lineage, and governance concepts

Senior Analytics Engineer

Key skills