Power BI Analyst

VIVA USA

• $80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field
  • 2+ years of data analysis experience
  • Strong technical proficiency in SQL, DAX, and data modeling
  • Experience with Power Query M transformations
  • Familiarity with supplementary tools like Excel, Python, or R

Responsibilities

  • Clean, transform, and shape raw datasets using Power Query and SQL
  • Build stable relational data models and write custom DAX formulas
  • Create dynamic, multi-page dashboards and scorecards
  • Translate business needs into key performance indicators and technical report specs
  • Deliver enterprise-grade solutions leveraging Microsoft Power Platform

Benefits

  • Remote work flexibility with occasional onsite requirements
  • Work hours aligned with a standard business schedule (8:00 am - 5:00 pm)
  • Opportunity to work collaboratively within diverse IT teams
  • Access to resources for professional development in data analytics and business intelligence
Full Job Description
Occasionally, work may be performed onsite; otherwise, the work will be remote

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.

Notes:
Work Location & Hours

Occasionally, work may be performed onsite; otherwise, the work will be remote
All work shall occur between the hours of 8:00 am and 5:00 pm on official workdays

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