Lead the design, development, and optimization of enterprise-grade analytics solutions with a focus on Power BI, advanced data modeling, and end-to-end performance engineering.
Create scalable semantic models, strengthen data governance practices, and collaborate with cross-functional teams to deliver intuitive analytics that support strategic decision-making across clients.
Contribute to modernization initiatives and guide best practices that elevate the analytics engineering discipline.
Design and deliver Power BI solutions using Import, DirectQuery, and Hybrid/Direct Lake modes.
Develop robust semantic models, measures, and reusable components that scale across products.
Model data using dimensional structures and implement aggregation strategies to enhance performance.
Optimize performance by tuning Data Analysis Expressions (DAX), VertiPaq engine operations, data types, partitioning, and incremental refresh.
Configure and maintain Row-Level Security/Object-Level Security (RLS/OLS) and data masking aligned with governance standards.
Partner with Security and Compliance teams to support Health Insurance Portability and Accountability Act (HIPAA) and Protected Health Information (PHI) requirements.
Establish and maintain version control practices, quality checks, and code review standards.
Translate business and technical requirements into accessible, user-centered analytics experiences.
Implement telemetry and observability practices to monitor usage, refresh cycles, and performance metrics.
Support modernization efforts by contributing templates, themes, calculation groups, and migration from legacy BI platforms.
Requirements
Relevant degree preferred.
7 or more years of relevant experience required.
Expertise designing Power BI solutions, including semantic models, DAX, and performance tuning required.
Strong SQL and data modeling skills, including indexing, statistics, and partitioning are required.
Experience with RLS/OLS, lineage, auditability, and data governance practices required.
Ability to translate business logic into validated metrics and partner effectively with cross-functional teams required.
Proficiency with Tabular Editor, DAX Studio, and related tabular modeling tools highly preferred.
Familiarity with MicroStrategy and BI modernization approaches preferred.
Familiarity with Microsoft Fabric, Azure data services, or Databricks preferred.
Manager of HR & Corporate Functions data and analytics engineering team at Pfizer. Responsible for data architecture, data modeling, and team leadership across various HR domains.
Analytics Engineer transforming raw data into actionable insights. Collaborating on data projects for innovative retail solutions using Python, SQL, and GCP.
Analytics Engineer transforming data into actionable insights for Moonpig Group's platform. Collaborating across departments to drive data - driven decisions with data transformation and engineering skills.
Product Owner II - Analytics Engineer at PNC enabling advanced analytics and data management. Collaborating with traders and portfolio managers to solve complex business problems.
Analytics Engineer developing robust ETL/ELT pipelines and data models for Cleo & You GmbH. Collaborating with management to drive data - driven insights and sustainable growth.
Analytics Engineer developing modern analytics solutions in SAP BW/4HANA. Supporting users in analyzing reporting requirements and delivering data visualizations.
Develop modern analytics solutions in SAP BW/4HANA with SAP Analytics Cloud. Collaborate with users to analyze reporting requirements and implement architectural solutions.
Data Analytics Specialist at Duke Health responsible for data collection and analysis for programmatic decisions. Collaborating with leadership to interpret trends in philanthropic operations.
SCM Analytics Developer partnering with Supply Chain to gather data and provide insights. Responsible for developing reports and automating processes using AWS and other analytical tools.
Senior Analytics Engineer driving data insights at Southern Glazer’s. Collaborating across teams to build impactful data products and solutions leveraging advanced analytics in beverage distribution.