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Remote Nike Data Analyst Jobs in Iowa (NOW HIRING)

Data Security Consultant

Nevada, IA · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Nevada, IA · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

... teams to support analytics, reporting, and emerging data use cases while contributing to ... remote position. Application Deadline This position is anticipated to close on Aug 21, 2026. About ...

PDS Defense, Inc. is seeking a Remote Aviation Supply Chain Analyst 5, in Cedar Rapids, IA. Job ID ... Extract data and respond to Resilinc risk events; coordinate rapid response and financial rating ...

Showing results 21-40

Remote Nike Data Analyst information

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 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 are popular job titles related to Remote Nike Data Analyst jobs in Iowa?

For Remote Nike Data Analyst jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Remote Nike Data Analyst jobs in Iowa look for?

The top searched job categories for Remote Nike Data Analyst jobs in Iowa are:

What cities in Iowa are hiring for Remote Nike Data Analyst jobs?

Cities in Iowa with the most Remote Nike Data Analyst job openings:

Infographic showing various Remote Nike Data Analyst job openings in Iowa as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Des Moines, IA • On-site, Remote

$90 - $120/hr

Part-time

Posted 22 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.