Power BI Analyst

Apollo
Avon, CT, United States
4 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Web Interfaces HTML JavaScript (Programming Language) Microsoft Excel Data Analysis User Authentication Cascading Style Sheets (CSS) Data Cleansing Extract Transform Load (ETL) Relational Databases Database Queries Design Studio
+8 more
Raw Data Power BI Azure Active Directory SQL Databases Data Processing Microsoft Power Automate Powerquery Powerapps

Job description

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., * Occasionally, work may be performed onsite at 410 Capitol Avenue, Hartford; otherwise, the work will be remote (as determined by the Point of Contact).
  • All work shall occur between the hours of 8:00 am and 5:00 pm on official workdays in the State of Connecticut or as otherwise approved by the Point of Contact.

Requirements

  • 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.

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