Senior Analytics Engineer
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Job Description
Senior Analytics Engineer owning and evolving the analytics layer for Keedian's platform. Transforming operational and business data into valuable insights, collaborating with cross-functional teams.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 100% remote
- Flexible schedule
- Birthday day off
- Reduced hours on Fridays
- Unlimited vacations
- Sick leave days
- Moving day off
- Support for studies, training, and language learning
- Referral program
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