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Remote Nike Data Analyst Jobs in Springfield, IL

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

Legacy Migration Analyst

Springfield, IL · Remote

$101K - $169K/yr

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

Enterprise Quality Analyst

Springfield, IL · On-site +1

$101K - $169K/yr

NTT DATA is seeking an Enterprise Quality Analyst to join the Illinois Project for the Advancement ... The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum ...

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and costefficient ...

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Design dimensional models (star/snowflake) for analytics use * Handle SCD (Type 1/2), CDC, and ...

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Remote Nike Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do remote nike data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote nike data analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Nike Data Analysts, and how can they be overcome?

Remote Nike Data Analysts often face challenges related to collaborating across time zones and ensuring clear communication with cross-functional teams. To overcome these hurdles, it's important to leverage collaboration tools, maintain proactive communication, and establish regular check-ins with stakeholders. Additionally, understanding Nike's unique data systems and aligning analysis with brand objectives can take time—staying engaged with internal resources and ongoing training helps ensure accuracy and impact in your analyses.

What is the difference between Remote Nike Data Analyst vs Remote Adidas Data Analyst?

AspectRemote Nike Data AnalystRemote Adidas Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; experience with analytics toolsBachelor's in Data Analytics, Business, or related; proficiency in data tools
Work EnvironmentRemote, often within sportswear or retail industryRemote, typically within sportswear or retail sector
Employer & Industry UsageNike's global sportswear and apparel companyAdidas' international sportswear and fashion brand
Common Search & ComparisonYesYes

The Remote Nike Data Analyst and Remote Adidas Data Analyst roles share similar credentials, work environments, and industry usage. Both positions involve analyzing sales, marketing, and product data within the sportswear industry, making them comparable in skills and responsibilities. The main difference lies in the brand focus—Nike versus Adidas—yet both serve global sportswear markets with remote analytics teams.

What is a Remote Nike Data Analyst?

A Remote Nike Data Analyst is a professional who works from a location outside of Nike offices to collect, process, and interpret data that supports Nike's business decisions. They analyze large datasets related to sales, customer behavior, supply chain, and marketing campaigns to provide actionable insights. Using tools like Excel, SQL, Python, and data visualization platforms, they help various Nike teams optimize their strategies for better performance. Collaboration is often done virtually with cross-functional teams, requiring strong communication and analytical skills.

What are the key skills and qualifications needed to thrive as a Remote Nike Data Analyst, and why are they important?

A Remote Nike Data Analyst should possess strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Outstanding attention to detail, effective communication, and the ability to work independently are vital soft skills for excelling in a remote environment. These skills ensure accurate insights, data-driven decision-making, and seamless collaboration across Nike's global teams.
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What cities near Springfield, IL are hiring for Remote Nike Data Analyst jobs? Cities near Springfield, IL with the most Remote Nike Data Analyst job openings:

SQL Data Analyst - Healthcare Claims

MSR Technology Group

Springfield, IL • Remote

Full-time

Re-posted 27 days ago


Job description

SQL Data Analyst - Healthcare Claims
Remote | Contract (Multi-Year or Permanent Option) | Competitive Pay + Benefits

Why This Role Is Different
This opportunity gives you real impact on Medicaid data solutions that improve healthcare delivery for millions. You’ll work with cutting-edge tools, collaborate with smart teams, and enjoy flexibility without sacrificing stability.

What You’ll Do
  • Develop complex SQL for data warehouse reporting and analytics.
  • Analyze business processes and document requirements for new systems.
  • Partner with internal teams and clients to deliver clear documentation and updates.
  • Support user acceptance testing, defect tracking, and scenario development.
  • Dive into Medicaid enrollment, provider, and claims data to uncover insights.
  • Identify and resolve data anomalies across cross-functional teams.
  • Create professional presentations and contribute to operational guides.
What We’re Looking For
  • Must-Have Skills:
    • Advanced ANSI SQL coding experience.
    • Healthcare business analysis and claims/encounter experience.
    • 2+ years of Unix/Linux Shell scripting (Bash/Korn).
    • Strong communication and organizational skills.
    • Ability to thrive with minimal guidance and tight deadlines.
  • Education: Bachelor’s degree in a related field.
Preferred Extras
  • Experience with CMS Federal Reporting (CMS-416, CMS-64), PERM, T-MSIS.
  • Familiarity with HEDIS, CMS Core Set, and Symmetry EBM Connect.
  • Teradata DBMS experience.
  • Knowledge of data integration, agile methodologies, and tools like Azure DevOps, SharePoint, MS Project, Visio.
Why You’ll Love It
  • Flexibility: Remote work with occasional travel.
  • Stability: Multi-year contract or potential permanent hire.
  • Benefits: Competitive pay plus comprehensive benefits.
  • Impact: Your work will directly improve Medicaid program performance.