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Remote Nike Data Analyst Jobs in Springfield, IL

DataAnnotation

FP&A Manager - AI Trainer

Springfield, IL · Remote

$50 - $60/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Kong

Sales Strategy and Operations Manager

Springfield, IL · Remote

$130K - $160K/yr

United States & Canada (Remote) What You'll Do: * Lead annual AMS GTM planning process to include ... Excellent quantitative and analytical skills, a data-driven mindset * Strong customer service ...

New

Humana

Manager, Care Management

Springfield, IL · Remote

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Humana

Manager, Care Management

Springfield, IL · Remote

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

Humana

Manager, Care Management

Springfield, IL · Remote

Proficiency in analyzing and interpreting data trends. * Progressive operational leadership ... This is a remote position that requires travel. * Travel: 50 - 75% field-based interactions ...

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All JobsNike Data Analyst JobsRemote Nike Data Analyst JobsRemote Nike Data Analyst Jobs in Springfield, IL

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 16, 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.
What are popular job titles related to Remote Nike Data Analyst jobs in Springfield, IL? For Remote Nike Data Analyst jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Remote Nike Data Analyst jobs in Springfield, IL look for? The top searched job categories for Remote Nike Data Analyst jobs in Springfield, IL are:
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:
Remote Nike Data Analyst jobs near you
Quality Assurance Analyst / ETL Tester (Remote)

Quality Assurance Analyst / ETL Tester (Remote)

DATAMAXIS

Springfield, IL • Remote

Full-time

Re-posted 17 days ago

Job description

Position Summary: The ETL Tester will be responsible for designing, automating, and executing test cases for Enterprise

Data Warehouse (EDW) ETL processes in a State Government Medicaid environment. In this role, you will be responsible for ensuring the accuracy, integrity, and reliability of data as it moves through our ETL processes. You will leverage your expertise to design and execute test strategies that validate both functional and non-functional requirements of our data pipelines.

The tester will leverage ETL tools, primarily Informatica PowerCenter for extraction, transformation, and loading, and Teradata RDBMS for core data store validation within Azure DevOps and agile sprint cycles to ensure data quality, identify defects, and automate repeatable testing processes.

Requirement Analysis & Test Strategy

  • Review change requests and participate in requirement analysis for EDW data pipelines and transformations
  • Collaborate with data engineers, analysts, and business stakeholders to ensure test coverage aligns with business requirements
  • Design comprehensive test strategies, test plans, and test cases for ETL workflows

ETL & Data Validation

  • Perform end-to-end validation of data pipelines from source systems to EDW targets Validate source-to-target mappings, transformation logic, and business rules
  • Execute data quality checks including row counts, null validation, duplicate detection, and referential integrity SQL & Backend Testing
  • Develop complex SQL queries (joins, aggregations, transformations) to validate ETL processes
  • Perform backend and database testing across large datasets and multiple systems

Automation & Scripting

  • Develop and maintain automated data validation frameworks using Python (Pandas, SQLAlchemy)
  • Build reusable scripts for regression testing, reconciliation, and data comparisons
  • Integrate automated testing into Azure DevOps CI/CD pipelines

Cloud & Data Platform Testing

  • Validate data pipelines and workflows within Azure Data Factory (ADF)
  • Test integrations across Azure services including Azure Data Lake, Azure SQL, and related components
  • Support validation of cloud-based data processing and orchestration workflows

Defect Management & Reporting

  • Identify, document, and track defects using tools such as Azure DevOps, JIRA, or HP ALM
  • Partner with development teams to troubleshoot issues and ensure resolution
  • Provide clear, audit-ready documentation of test results and findings

Required Qualifications:

  • 5+ years of experience in QA/testing with a focus on ETL, EDW, or backend data systems
  • 5+ years of hands-on Python experience for data validation, automation, and scripting
  • 5+ years of Azure experience, including data platform and cloud-based testing
  • 5+ years of Azure Data Factory (ADF) experience, including pipeline validation and orchestration testing
  • 5+ years of experience working in cloud environments, preferably Azure
  • Strong SQL expertise with hands-on experience in relational databases (Teradata, SQL Server, or equivalent)
  • Experience testing complex data transformations, data models (star/snowflake), and SCD (Type 1/Type 2)
  • Experience with test management and defect tracking tools (Azure DevOps, JIRA, HP ALM)
  • Strong analytical and troubleshooting skills with attention to detail
  • Experience working in Agile/Scrum environments

Preferred Qualifications

  • Healthcare or Medicaid domain experience (claims, encounters, eligibility, provider data)
  • Knowledge of HIPAA and healthcare data standards (837/835, ICD, CPT, HL7)
  • Experience with Medicaid Enterprise Systems (MES) or State agencies (e.g., Illinois HFS)
  • Experience with Informatica or legacy ETL tools (nice-to-have, not required)
  • Familiarity with GitHub or version control for automation
DATAMAXIS logo

About DATAMAXIS

Sourced by ZipRecruiter

Datamaxis is passionate about making our clients win. As a trusted partner, we will bring innovative solutions, technical expertise in Data, cyber security analytics, strategic staffing and AI/ML to help create value (ROI) for our clients, stay competitive and operationally efficient.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Reston, VA, US

Year founded

2003

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