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Remote Nike Data Analyst Jobs in Ohio (NOW HIRING)

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Senior SOC Analyst

Cincinnati, OH · On-site +1

$95K - $125K/yr

Job Title: Senior SOC Analyst Location: Cincinnati, OH (Hybrid / Remote eligible based on ... Continuously monitor SIEM platforms and log data for threats, intrusions, and security anomalies.

Data Scientist

Dayton, OH · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246716 Location: Dayton,OH,US Share job via: Share Data Scientist The ... Experience with pattern of life analysis or capability such as TDNA, SIGINT, or GEOINT * TS/SCI ...

... in Evendale OH(Remote role) opportunities. This is an excellent opportunity to join a winning ... data, generate reports, and identify process improvement opportunities. · Maintain system data ...

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 the most commonly searched types of Nike Data Analyst jobs in Ohio?

The most popular types of Nike Data Analyst jobs in Ohio are:

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

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

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

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

Infographic showing various Remote Nike Data Analyst job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do
  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams