Senior Power BI Developer

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process. Sr Power BI Developer Full Time 30-39 Hour Montvale, NJ, US Salary Range: $100,000.00 To $130,000.00 Annually About Health Monitor Network Health Monitor Network is a leading direct-to-patient healthcare marketing company with a 35+ year track record of connecting patients and providers through digital, print, and point-of-care content reaching tens of millions of patients each year. Now backed by private equity and growing through both organic expansion and acquisition, HMN is investing in building a best-in-class People function to power its next stage of growth. Position Overview THIS IS A HYBRID ROLE BASED IN MONTVALE, NJ The Senior Power BI Developer owns the dashboards and reporting our business runs on. This is a Power BI–first, stakeholder-facing role: the majority of the work is designing, building, and maintaining Power BI dashboards — and partnering directly with Finance, Operations, Sales, and Marketing to turn ambiguous business questions into clear, trusted, decision-ready analytics. A baseline understanding of data architecture (how a layered warehouse and dimensional models are structured) is important so you can collaborate effectively with data engineering and design performant, reliable reports. This role is ideal for someone who is a genuine Power BI craftsperson and equally comfortable sitting with a business leader to figure out what they actually need. Essential Job Functions Dashboard & Report Development (the core of the role) Build and maintain Power BI dashboards — design, develop, and iterate interactive dashboards and reports on the curated reporting layer, using DAX, Power Query (M), and strong data-modeling and visualization practices. Own the Power BI semantic model — build and maintain star-schema data models, relationships, measures, and calculation logic that are performant and reusable across reports. Optimize performance — tune models, DAX, and queries for speed and reliability; make deliberate Import vs. DirectQuery choices and manage refresh/query cost against BigQuery. Understand the business problem — partner with Finance, Operations, Sales, and Marketing to translate ambiguous questions into well-defined KPIs, metric definitions, and the right visuals — confirming the requirement before building. Tell the story — apply data-visualization best practices to turn data into clear, usable insight — not just charts but answers a stakeholder can act on. Enable self-service — promote trusted, well-documented reports and datasets, and help business users get value from them independently. Document and build repeatable processes — maintain strong, clear documentation of requirements, metric definitions, and reporting logic, and establish repeatable processes and standards for how reporting requests are intake, prioritized, built, and validated. Publishing, Governance & Report Lifecycle Deploy and operate in the Power BI Service — publish and manage workspaces, apps, and scheduled/gateway-managed refreshes; own reports through their full lifecycle including maintenance, troubleshooting, and UAT. Apply security and governance — implement row-level security (RLS) and follow governance best practices so the right people see the right data. Document — maintain metric definitions, data-model documentation, and report catalogs so reporting is understandable and maintainable. Collaboration with Data Engineering Work the DE / BI seam — the data engineering function owns ingestion, pipelines, and the raw/transformed layers; you own the reporting layer and everything Power BI. Partner on data contracts, required datasets, freshness expectations, and reporting-layer schema so dashboards are built on a trusted foundation. Required Qualifications Core must-haves Power BI mastery — hands-on expertise across DAX, Power Query (M), data modeling, and row-level security — able to build and maintain dashboards independently, end to end. Advanced SQL — writing and optimizing complex queries (BigQuery preferred). Stakeholder & requirements skill — proven ability to gather requirements, translate business questions into metrics, and communicate clearly with non-technical audiences. Data-visualization judgment — a strong sense for visual best practices, dashboard UX, and data storytelling. Baseline data architecture understanding — dimensional modeling (star/snowflake), layered warehouse concepts, and how curated datasets are produced — enough to collaborate with data engineering and design reliable reports. 5–7 years in business intelligence, Power BI development, analytics, or a related field. Bachelor's degree in Computer Science, Information Systems, Analytics, or a related field — or equivalent practical experience. Strong problem-solving, a business-first mindset, and excellent cross-functional communication. Ability to connect Power BI directly to a cloud data warehouse (BigQuery preferred), not just flat files. Preferred Qualifications Certifications — Microsoft Certified: Power BI Data Analyst Associate (PL-300); Fabric Analytics Engineer Associate (DP-600) a plus. Microsoft Fabric — familiarity with Fabric, semantic models, and Copilot / AI-assisted analytics features. Power BI Service administration — deployment pipelines, workspace governance, gateway configuration, and capacity/refresh management. Domain fit — healthcare, Pharma/OTC, agency, or marketing-analytics experience; familiarity with CRM/ERP data such as Salesforce and NetSuite. Light scripting — some Python or scripting for data prep or automation is helpful (but pipeline development is owned by data engineering). AI tooling — experience using AI/LLM platforms to accelerate analytics work (e.g., Copilot, Claude). Business Intelligence: PowerBI (Desktop & Service), DAX, Power Query (M), RLS; Tableau exposure welcome Data & Warehouse: BigQuery (curated reporting layer), advanced SQL #J-18808-Ljbffr