Senior Analytics Engineer

Senior Analytics Engineer Faegre Drinker has an opportunity for a Senior Analytics Engineer to work with our Technology and Innovation team in our Chicago, Minneapolis, Philadelphia, New York City or Washington, D.C. office. You will be part of a dynamic team dedicated to contributing to the Gold semantic layer for the firm's enterprise data lake and sets the standards that make the firm's two primary consumption layers - Microsoft Power BI (the firm's primary business intelligence platform) and Databricks AI/BI (Databricks AI/BI, including Genie conversational analytics) - trusted, consistent, and AI-ready. This position will work with other talented individuals who share a passion for doing great work in the best interest of our clients. What You Would Do: Owns the Gold dimensional model (star schemas) across areas such as client, matter, timekeeper, and practice-group dimensions, producing curated, AI-ready data products Leads delivery of executive dashboards and self-service analytics in Microsoft Power BI Authors approved firm metric definitions once via Databricks Unity Catalog Metric Views to eliminate metric drift; implements definitions ratified by the firm's data-governance cadence Sets standards for modeling, Power BI, and Databricks Genie curation/grounding; mentors mid-level and junior Analytics Engineers Partners with key stakeholders to ensure that Gold data products are consumable by the firm AI offerings, and resolves cross-system definitional questions in partnership with the governance cadence Special projects and other duties as assigned What Is Expected: Ability to problem-solve Excellent interpersonal, verbal and written communication skills, including the ability to communicate effectively in a virtual environment (e.g., via phone, web/videoconference) Ability to concentrate on tasks, make decisions and work calmly and effectively in a high-pressure, deadline-orientated environment Demonstrated ability to use good judgment in taking initiative while asking for direction or clarification and consulting others, as appropriate Willingness to be flexible with time and adjust to a changing work environment Ability to build and maintain positive relationships, both internally and externally, while maintaining a client service orientation Ability to use sound judgment and discretion in dealing with highly confidential information Ability to take direction and accept supervision Demonstrated ability to work independently, organize and accurately prioritize work, be detail-oriented, understand when urgency is required and use good judgment in varied situations Ability to work effectively with co-workers in a team oriented collaborative environment What We Offer: Flexible working environment for work-life success Opportunity to participate in firm-sponsored volunteer events Wellness programming with personalized content and activities Professional environment and the opportunity to work with experts at the top of their fields Variety of health plan options, as well as dental, vision and 401(k) plans Generous paid time off The anticipated initial annual salary range for someone who is hired into this position is $139,300 - $159,200. Actual initial salary may be above or below the above-identified range and will be based on the relevant skills, training, experience, and other job-related factors, including the location where the position is filled, in all cases consistent with applicable law. This is an exempt role and the initial salary range listed above is just one component of Faegre Drinker's total compensation and benefits package for professional staff, which includes, but is not limited to, a discretionary bonus; life, health, accident, and disability insurance; and a 401(k) plan. What Is Required: Bachelor's degree in a related technical or quantitative discipline, or equivalent experience 8+ years of analytics/data engineering experience Expert-level SQL and dimensional modeling skills Deep, hands-on Microsoft Power BI expertise (data modeling, DAX, enterprise dashboard delivery) Experience defining and governing business metrics/KPIs across multiple source systems Ability to mentor and set technical standards for less experienced analytics engineers Experience partnering with data engineers to translate Silver-layer structures, key-resolution logic, and source data constraints into Gold-layer dimensional models Databricks AI/BI and Genie experience strongly preferred. Faegre Drinker Biddle & Reath LLP