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.

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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Power BIsemantic modelingDAXperformance optimizationSQLanalytics engineeringdimensional modelingfact/dimension modelingstar-schemadata modeling

Soft Skills

collaborationrequirement clarificationiterative outcomescommunicationproblem-solving

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in EngineeringBachelor’s degree in MathematicsBachelor’s degree in StatisticsBachelor’s degree in Data/Analytics