Senior Analytics Engineer
New
K
KeedianBuilding Intelligence
THIS POSITION IS FOR LATAM BASED EMPLOYEES — we prioritize candidates based in Mexico, Colombia, and Argentina.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Advanced English, Advanced Spanish
- Experience
- 4+ years of experience
- Required Skills
- AWSPythonSQLBusiness IntelligenceMicrosoft Power BITableauData modelingdbtLooker
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.
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.
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