Data Analyst - 2
Puget Sound, Washington, United States
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Data Analyst - 2


Location: 100% Remote, must reside in the Pacific Time Zone

Rate: $51/hour

Req. ID: 164487-1


Role Overview


ANDERSEN is looking for a Data Analyst 2 to support a Microsoft team working with internal stakeholders on third-party software, licensing, reporting, and spend analysis. This role will focus on Power BI, Microsoft Fabric, data analysis, reporting, database queries, and ETL processes. The analyst will help coordinate reporting changes, test and implement data solutions, and turn complex data into actionable business recommendations. A unique aspect of this role is the opportunity to work with AI-related spending and cost analysis, helping identify opportunities to optimize costs. Potential for extension.


Required Skills


  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
  • Strong Power BI skills
  • Experience with Microsoft Fabric
  • Knowledge of scripting languages
  • Exposure to AI-related data, spend, or cost analysis
  • Experience working with large-scale enterprise data environments
  • Experience with database technologies and queries
  • Understanding of ETL processes
  • Strong troubleshooting and problem-solving skills
  • Strong written and verbal communication
  • Ability to work effectively with both business and technical stakeholders
  • Ability to translate data into actionable recommendations
  • 2+ years of data analysis and reporting experience

 

Top 3 Must-Have Hard Skills


1. Data Analysis – 2+ years

Hands-on experience analyzing data, identifying trends, validating results, and translating findings into business recommendations.

2. Power BI & Reporting – 2+ years

Experience developing, maintaining, testing, and updating Power BI reports and dashboards.

3. Database Queries & ETL – 2+ years

Experience working with database technologies, queries, and ETL/data transformation processes. Knowledge of at least one scripting language is preferred.


Ideal Candidate


The ideal candidate is a hands-on Data Analyst who enjoys digging into data, improving reporting, and helping stakeholders make better data-driven decisions. The strongest candidate will bring solid Power BI, reporting, data analysis, database/query, and ETL experience, along with strong communication and problem-solving skills. Familiarity with AI-related analysis is a plus.


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