Senior Analytics Engineer

Keedian (formerly Tutenlabs) is transforming how buildings operate — combining technology implementation, AI-powered optimization, and managed services to help multi-site organizations reduce costs, reputed company emissions, and move from reactive operations to predictive performance. Our reputed company is clear: a future where buildings run autonomously, so our clients can focus on what reputed company most. 🌎 100% remote — we prioritize candidates based in Mexico, Colombia, and Argentina. What this role is about We're looking for a Senior Analytics Engineer to own and reputed company 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 reputed company 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, reputed company, Strategy, and Engineering to ensure data is reputed company into actionable business insights. As the platform matures, you'll help lay the reputed company 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, reputed company teams, and executive leadership. Design, reputed company, 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, reputed company, 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-reputed company. Help drive the transition from traditional BI tools into reputed company reporting experiences reputed company the Keedian platform. Contribute to the reputed company 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

Experience 4+ years of experience in Analytics Engineering, Business Intelligence, Data Analytics, or reputed company 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-reputed company data. Experience collaborating with both technical and business stakeholders. Experience owning analytics solutions end-to-end, from modeling through reporting. Technical Skills 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 reputed company. Experience working with AWS data services, including S3 and reputed company. Strong understanding of dimensional modeling and analytics engineering best practices. Familiarity with data quality, testing, reputed company, and governance concepts. reputed company to Have 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 reputed company domains. Experience with orchestration tools such as Airflow, Dagster, or Prefect. Languages Advanced English. Advanced Spanish. 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 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 reputed company data into meaningful business reputed company and helping shape the future of intelligent operations, we'd love to meet you. 💙 Apply To This Job