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Data Analyst

Collabera collabera.com Open · verified Oct 24, 2026
On-site Eagan Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Collabera. Eagan · full-time · no salary stated · we estimate $86,500–$135,038 across the United States.

Estimated pay

Collabera has not published a salary for this role. The figure below is our estimate, not theirs.

$86,500 – $135,038
What the middle half of mid-level data analysis & BI roles in the United States paid, among postings that did state a salary.
Worked out from 796 postings that stated pay, median $107,500. Last updated Oct 24, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationEagan
WorkplaceOn-site
EmploymentFull-time
PostedJun 9, 2016 · 10y ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Gather and examine data for assigned work, then turn the findings into visualizations
  • Help Editorial Service teams with market reviews and related requests
  • Contribute analysis, KPI design and reporting to strategy framework work
  • Support market analysis, jurisdictional build and retention model projects
  • Coordinate tasks and project work with partner teams

What you bring

  • A bachelor’s degree is required for this role
  • You have worked as a business analyst or in a related position involving data analysis
  • You bring strong Excel skills, including charts, PivotTables, statistical functions and data cleanup
  • You can use basic PowerPoint, Word and Outlook and explain your work clearly

Who this fits

This mid-level role suits someone who can handle data analysis, visualization and KPI reporting across assigned projects. You’ll work on-site in Eagan and collaborate with partner teams.

From the employer

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs.

Major Responsibilities /Accountabilities:

  • Data gathering and analysis as part of assigned tasks and projects
  • Creating data visualization as part of assigned tasks and projects
  • Assist Editorial Service teams with market analysis and related requests
  • Assist in Market Analysis, Jurisdictional build and retention model projects
  • Assist in development and implementation of Strategy Insights Framework in the areas of data analysis, KPI development and reporting
  • Interact with partner teams to manage tasks and projects
  • Other projects and tasks as assigned null

Technical skills:

  • Experience in a Business Analyst or related role involving data analysis.
  • Strong Excel skills including charting, Pivot tables,statistical and data cleanup functions
  • Basic PowerPoint, Word, Outlook skills
  • Fundamental statistical, data analysis and visualization skills Strong communication skills


Desirable Skills and Experience:

  • Ability to create SQL or MS Access queries and reports.
  • Experience using Tableau or similar data visualization tools.
  • Statistical modelling background a plus


Education

  • Bachelors degree required

To apply for this opportunity, you can contact me at:

Sanjay Nair

sanjay.nair(at)collabera.com

612-278-2368

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.