Power BI Analyst

Client Resources, Inc.; Hartford (CT); On-site; USD 70,000 - 110,000; Full time

Job summary

Client Resources, Inc. in Hartford, CT is seeking a skilled Power BI Analyst to join our IT Dev team. You will design, build, and manage data models, interactive dashboards, and reports to deliver clear business insights for leadership.

Collaborate with Business Analysts, QA, Trainers, and Production Support to translate needs into KPIs, dashboards, and scalable Power Platform solutions across Power BI, Power Apps, Power Automate, and Power Pages.

Qualifications

• Bachelor’s degree in a quantitative field and 2+ years in data analysis.
• Strong proficiency in SQL, DAX, and data modeling.
• Experience with Power BI Desktop/Service and Power Query for ETL.
• Familiarity with Excel for ad hoc analysis.

Responsibilities

• Design, build, and manage data models in Power BI.
• Create and maintain interactive dashboards and reports.
• Write DAX measures and build star schemas.
• Collaborate with BAs, QA, Trainers, and IT teams to translate business needs into KPIs.
• Deliver enterprise-grade Power Platform solutions (Power BI, Power Apps, Power Automate, Power Pages).

Skills

Power BI

DAX

Power Query

ETL

SQL

Data Modeling

Visualization

Excel

Education

Bachelor’s degree in a quantitative field

Tools

SQL

Excel

Python

R

Job description

Hartford , Connecticut Contract Hartford Sep 24, 2026

About the Role

We are seeking (1) skilled Power BI Analyst. The Power BI Analyst will work with the Information Technology (IT) development team, in collaboration with Business Analysts, Quality Assurance Testers, Trainers, and the Production Support Information Technology team. The Power BI Analyst will design, build, and manage data models, interactive dashboards, and reports in Power BI to turn raw data into clear business insights and analyses that support leadership in evaluating key performance metrics, modeling behaviors, and data.

Core Responsibilities:

• Data Preparation:Clean, transform, and shape raw datasets using Power Query and SQL.
• Data Modeling:Build stable relational data models and write custom DAX (Data Analysis Expressions) formulas for metrics, reporting, and analysis.
• Visualization:Create dynamic, multi-page dashboards and scorecards for stakeholders.
• Collaboration:Translate business needs into key performance indicators (KPIs) and technical report specs.
• Deliver enterprise-grade solutions leveraging Microsoft Power Platform (Power Apps, Power Automate, Power BI, and Power Pages), aligning technology capabilities with business strategy and operational priorities.

Core Technical Skills

• Power BI proficiency:Ability to use Power BI Desktop and Service to clean, transform, and model data.
• DAX (Data Analysis Expressions):Master this formula language to build custom calculated columns, measures, totals, and complex filters.
• Power Query & ETL:Use Power Query to extract, transform, and clean raw data from multiple sources before loading it into your model.
• Data Modeling:Design relational schemas, connect data sources, and configure star schemas with proper fact and dimension tables.
• SQL & Excel:Write database queries in SQL and leverage Excel for preliminary data manipulation and fast ad hoc analysis.

Knowledge: Power Pages Development

• Design, configure, and customize Power Pages websites, including forms, lists, security, permissions, and user authentication.
• Develop responsive, accessible, and user-friendly web interfaces using Power Pages design studio, HTML, CSS, and JavaScript.
• Implement Web Roles, Table Permissions, and authentication methods (Azure AD).

Visualization & Reporting

• Dashboard Design:Build clear, interactive, and user-friendly reports using core visuals like bar charts, matrices, and maps.
• Business Acumen:Understand key performance indicators (KPIs) and operational goals specific to our industry.
• Stakeholder Communication:Gather requirements effectively from business users and explain technical findings in simple terms. This may be a partnership role with the workstream-appointed Business Analyst on our team.

Education and Experience

• A bachelor’s degree in a quantitative field; 2 or more years of data analysis experience, and strong technical proficiency in SQL, DAX, and data modeling.
• Generally, 2+ years of prior experience in business intelligence, data analys8is or report writing.
• Supplementary tools: Familiarity with Excel, Python, or R for advanced data manipulation.
• Data preparation: Experience with Power Query M transformation and building star.