Senior Engineer, Analytics

* Bachelor’s degree in:
Computer Science, Data Science, or related field    (preferred).
* 6–7 years of Power BI experience (data modeling, DAX, performance tuning, workspace governance).
* 7–10 years of SQL experience (Snowflake required).
* Strong experience in:
* Data modeling (dimensional modeling, star/snowflake schemas)
* Data warehousing concepts
* ETL/ELT design and implementation
* Building scalable semantic models
* Hands-on experience implementing CI/CD for Power BI (Git integration, Dev Ops/ deployment pipelines).
* Experience designing and optimizing large datasets for enterprise analytics.
* Advanced proficiency in DAX, Power Query (M), and performance optimization techniques.
* Strong communication skills — able to present technical concepts to non-technical stakeholders.
* Hands on experience with assessing and implementing Self-Serve Analytics tools like Thought Spot.
* 1–2 years of ELT process experience (pipeline orchestration, transformation optimization).
* 1–3 years of Machine Learning experience (predictive modeling, statistical analysis, model integration into reporting workflows).
* Experience leveraging Power BI Copilot for report acceleration and automation.
* Experience with Python or R for analytics or automation.
* Exposure to cloud data architecture and modern data platform design.
* Design, develop, and maintain scalable, enterprise-level Power BI dashboards, reports, and semantic models that deliver actionable insights aligned to business strategy.
* Build, optimize, and maintain complex Snowflake-based SQL transformations and data models, ensuring high performance, scalability, and reliability across reporting environments.
* Architect and implement robust dimensional data models (star/snowflake schemas) that enable consistent, governed, and reusable analytics solutions.
* Implement and manage CI/CD pipelines for Power BI deployments, ensuring version control, automated validation, and seamless promotion across development, test, and production environments.
* Partner with Finance, Operations, and cross-functional stakeholders to translate business requirements into functional and technical specifications, delivering solutions on time and to specification.
* Ensure consistent, reliable, and streamlined access to trusted data through strong data governance, documentation, testing, and performance optimization practices.
* Support and enhance ELT processes, improving data pipeline efficiency, data quality, and transformation performance within Snowflake.
* Identify and execute strategies to increase adoption of data consumption solutions across the organization, ensuring stakeholders are engaged and leveraging tools effectively.
* Serve as a subject matter expert and trusted advisor to stakeholders, proactively identifying opportunities to improve reporting, automation, and advanced analytics capabilities.
* Continuously evaluate and implement emerging technologies (e.g., Power BI Copilot, ML-enhanced analytics) to enhance reporting automation, insight generation, and decision support.
* Champion analytics best practices and lead knowledge-sharing initiatives to elevate overall data literacy and technical competency across teams.
* Advanced Analytics Engineering & Data Modeling
* Snowflake SQL & Data Warehousing Expertise
* Power BI Development (DAX, Semantic Modeling, Performance Optimization)
* CI/CD & Deployment Best Practices
* Data Governance & Quality Management
* Strategic & Critical Thinking
* Problem Solving & Continuous Improvement
* Data Storytelling & Executive Communication
* Cross-Functional Collaboration
* Stakeholder Relationship Management
* Strong Interpersonal & People Skills
* Clear, Confident, and Adaptable Communication
* Positive Attitude & Team-First Mindset
* Approachable, Collaborative, and Fun to Work With
* Intellectual Curiosity & Growth Mindset
* ** In-Office Environment:
** Must be able to work in a busy, crowded, and loud office with frequent distractions and interruptions  + Must be able to collaborate in-person with occasional impromptu in-person meetings
* ** Office

Conditions:

** Adaptability to typical office conditions, which may include exposure to air conditioning,…