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Tech Data Jobs in Chicago, IL (NOW HIRING)

Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies. * Supports the development and distribution of daily, monthly, and quarterly reports to ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Showing results 21-40

Tech Data information

See Chicago, IL salary details

$12

$23

$35

How much do tech data jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for tech data in Chicago, IL is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $27.98 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Tech Data analyst?

To thrive as a Tech Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or computer science, often supported by a relevant degree. Familiarity with tools like SQL, Python, Excel, and data visualization platforms such as Tableau or Power BI, along with certifications in data analytics, is commonly required. Exceptional attention to detail, problem-solving ability, and effective communication are standout soft skills for this role. These skills and qualities are critical for transforming complex data into actionable insights that drive business decisions.

What is the difference between Tech Data vs Network Technician?

AspectTech DataNetwork Technician
Required CredentialsTypically requires a degree in IT, computer science, or related certifications like CompTIA A+ or Network+Often requires similar certifications, with emphasis on networking certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentPrimarily in data centers, warehouses, or office settings managing hardware and software assetsPrimarily in office or on-site locations troubleshooting, installing, and maintaining network infrastructure
Employer & Industry UsageUsed by hardware suppliers, data centers, and IT service providersCommon in corporate IT departments, telecom companies, and managed service providers

Both roles require technical certifications and involve working with hardware and networks. Tech Data professionals focus on managing data assets and hardware logistics, while Network Technicians specialize in maintaining and troubleshooting network systems. The roles often overlap but differ mainly in scope and daily tasks.

What is a Tech Data specialist?

A Tech Data specialist is a professional who manages, analyzes, and interprets technical data to support business operations, decision-making, and IT systems. Their responsibilities often include data collection, data quality assurance, reporting, and collaborating with other departments to ensure accurate and secure data handling. Tech Data specialists may also work with databases, data warehouses, and analytics tools to extract insights and improve organizational efficiency. This role is vital in industries that rely on large volumes of technical or operational data.

What are some common challenges faced by Tech Data professionals, and how can they be addressed?

Tech Data professionals often encounter challenges related to managing large volumes of complex data from diverse sources, ensuring data accuracy, and maintaining data security. To address these, it's important to implement robust data management tools, establish clear data governance protocols, and collaborate closely with IT and business teams. Continuous learning and staying updated on emerging technologies can also help professionals stay ahead of industry demands and overcome technical hurdles.

What does Tech Data do?

Tech Data is a distributor of technology products, providing hardware, software, and services to resellers and retailers. Employees in related roles often handle logistics, sales, and technical support, requiring knowledge of IT products and supply chain processes.
Infographic showing various Tech Data job openings in Chicago, IL 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, with an average salary of $48,945 per year, or $23.5 per hour.

Mid-Level Data Analyst

1 point system

Chicago, IL • On-site

Contractor

Re-posted 12 days ago


Job description

2 round interview both virtual


• Collect, clean, and analyze technology data from various sources to identify trends, patterns, and anomalies.
• Supports the development and distribution of daily, monthly, and quarterly reports to monitor the Bank’s technology metrics portfolio
• Develop and maintain automated processes for data extraction and transformation to streamline data workflows.
• Create and maintain comprehensive reports and dashboards to visualize key performance indicators (KPIs), key risk indicators (KRIs) and metrics.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Conduct ad-hoc analysis and deep dives to address specific business questions and challenges as needed.
• Assist in the preparation of presentations and reports for internal stakeholders, conveying complex technical findings in a clear and concise manner.
• Stay updated on industry trends, best practices, and emerging technologies in data analysis and financial services.
• Encourages teamwork, professionalism and high morale, throughout the department and the Bank.
• Creates efficiencies within work tasks to eliminate or reduce manual processes.

Client note

  • Kpi
  • Reporting
  • Look at data and be able to tell story to stakeholders, and team
  • Work with different and large volume
  • Tableu, tableu prep, excel must have
  • Sql, python must have
  • Databricks
  • 37.5 hrs weekly