Senior Analytics Engineer at Keedian | Torre
warning

Heads-up

The job you’re trying to post already exists in Torre:

Senior Analytics Engineer

You'll build the intelligence layer powering autonomous building operations and predictive performance.
Emma highlights
This highlight was written by Emma’s AI. Ask Emma to edit it.
Full-time

Legal agreement: Employment

Provide your expected compensation while applying
location_on
Remote (for Argentina residents)
Remote (for Mexico residents)
Remote (for Colombia residents)
Match
skeleton-gauges
You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Review preferences
Shared by
Emma of Torre.ai
about 1 month ago

Requirements and responsibilities


Keedian (formerly Tutenlabs) is transforming how buildings operate — combining technology implementation, AI-powered optimization, and managed services to help multi-site organizations reduce costs, lower emissions, and move from reactive operations to predictive performance. 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.ResponsibilitiesBuild 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.RequirementsExperience4+ 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.Technical SkillsAdvanced 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.Nice to HaveExperience 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.LanguagesAdvanced 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 programWhy 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. 💙
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
check_circle

Payment confirmed

A member of the Torre team will contact you shortly

In the meantime, continue adding information to your job opening.