Lead, Business Intelligence

Role Overview

• Design and deliver Power BI dashboards that are fast, intuitive, and built for operational decision-making, daily execution, weekly and monthly reviews, and leadership visibility
• Create clear drill-down paths from “what happened” to “where and why,” so teams can move from insight to action quickly
• Engineer the semantic layer (the product)
• Design, develop, and maintain Power BI semantic models as reusable products: clean relationships, curated fields, well-defined measures, and consistent KPI definitions
• Apply modern analytics modeling practices (fact/dimension modeling and star-schema-aligned semantic models) to improve performance, usability, and long-term maintainability
• Build curated reporting datasets in Microsoft Fabric that enable reuse across dashboards and reduce one-off reporting
• Build insights that help operations teams anticipate risk and detect emerging issues earlier; examples include trend breaks, abnormal spikes, recurring patterns, and leading indicators that warrant attention
• Expand dashboards over time to correlate operational signals across systems, including service management and observability platforms (metrics, logs, traces), as you assimilate new data sources
• Translate ambiguous operational questions into clear metric definitions, scalable models, and shippable dashboard increments
• Raise the bar on BI engineering practices: maintainable model design, performance tuning, and thoughtful UX patterns
• Use AI-assisted development tools (such as Claude Code) to speed up build/test cycles, refactoring, and documentation, while keeping engineering judgment in the loop.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, Data/Analytics, or a related quantitative/technical field (advanced degree a plus)
• 5+ years of professional experience delivering enterprise BI/analytics solutions (Power BI semantic modeling, dashboard development, and data modeling)
• Deep Power BI expertise: semantic modeling, DAX, performance optimization, and dashboard UX
• Strong SQL and analytics engineering skills; ability to shape curated datasets that support dependable KPIs and drill-down analysis
• Strong analytics data modeling skills, including dimensional modeling (fact/dimension) and star-schema-aligned semantic models
• Proven collaboration with stakeholders, clarify requirements, and deliver iterative outcomes that earn adoption.

Tech Stack

• SQL

Benefits

• Medical, dental, vision, life insurance, disability insurance
• Paid Time Off (PTO), and leave of absences, such as parental and military leave
• 401(k) plan with company match (up to 4%)
• Company-funded pension plan
• Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs
• Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development
• Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs
• Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service
• Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.