Our vision is clear: a future where buildings run autonomously, so our clients can focus on what matters most.
🌎 100% remote — we prioritize candidates based in Mexico, Colombia, and Argentina.
What this role is aboutWe're looking for a Senior Analytics Engineer to own and evolve the analytical layer behind Keedian's platform.
This role sits at the intersection of data, product, and business impact. You'll transform operational, IoT, telemetry, and business data into customer-facing analytics, executive reporting, ROI measurement, and intelligence capabilities that demonstrate real value for our customers.
You'll own the analytics stack end-to-end — from data modeling and semantic layers to dashboards, KPI definitions, reporting, and outcome measurement. You'll work closely with Product, Customer Success, Strategy, and Engineering to ensure data is translated into actionable business insights.
As the platform matures, you'll help lay the foundation for predictive analytics, benchmarking, fault detection, and optimization initiatives, creating a natural growth path toward Data Science and intelligent building operations.
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.
- 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.
- Experience with multi-tenant data platforms.
- Exposure to statistics, experimentation, or predictive analytics.
- Experience with machine learning fundamentals and tools such as scikit-learn.
- Knowledge of IoT, smart buildings, energy management, HVAC systems, BACnet, Modbus, or related domains.
- Experience with orchestration tools such as Airflow, Dagster, or Prefect.
- Advanced English.
- Advanced Spanish.
💻 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
Why join Keedian?
At Keedian, you'll help build the intelligence layer that powers the future of autonomous building operations.
Your work won't stop at dashboards and reports — you'll help define how customers measure value, how operations become predictive, and how data evolves into intelligent decision-making at scale.
If you're excited about turning complex data into meaningful business outcomes and helping shape the future of intelligent operations, we'd love to meet you. 💙
Skills Required
- 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 like 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
What We Do
Keedian (formerly Tutenlabs) is the intelligent operating system for multi-site success. Gain control over your buildings with a comprehensive solution that combines infrastructure, performance, and support to transform your operations. Less chaos, less waste, more profit.
