1

Tech Data Jobs (NOW HIRING)

IT Data Analyst

Springfield, VA · On-site +1

$121K - $158K/yr

Learn more about this agency Duties Help As a IT Data Analyst, GS-2210-13, your typical work assignments may include: * Conducts complex quantitative and qualitative analyses of enterprise-wide ...

New

They are seeking a Senior Applied Data Scientist to drive insights and inform decision making through advanced analytical techniques, machine learning, and deep learning to enhance business ...

IT Data Solutions Architect

$54.90 - $82.35/hr

Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering or a related field. Experience Required: * Typically requires 5 or more years in progressively responsible ...

$114K - $137K/yr

Job Summary Health IT Data Engineer Job Summary Aptive is seeking a Health IT Data Engineer to provide advanced data engineering and analytics infrastructure support for the ICE Health Service Corps ...

At SpaceXAI, the IT Data Engineering team implements and supports applications to help internal customers meet their operational needs. We establish processes for continual improvement, guide ...

Showing results 41-60

Tech Data information

See salary details

$12

$22

$34

How much do tech data jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for tech data in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 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.
More about Tech Data jobs
What cities are hiring for Tech Data jobs? Cities with the most Tech Data job openings:
What states have the most Tech Data jobs? States with the most job openings for Tech Data jobs include:
Infographic showing various Tech Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Principal IT Data Analyst

Fidelity Investments

Smithfield, RI • On-site

$115K - $166K/yr

Full-time

Posted 24 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 271 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Job Description:

Position Description:

Note: Fidelity will not provide immigration sponsorship for this position.

Develops and maintains curated data repositories for an enterprise analytics platform. Analyzes complex datasets from several sources (demographics and investments) using SQL, Python, and front-end analytics (Tableau). Writes and updates design documentation using Confluence. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management.

Primary Responsibilities:

  • Recommends design changes to complex, interrelated systems designed to meet complicated requirements, improve performance, or reduce costs of ownership.

  • Designs new systems based on requirements gathered during the requirements analysis phase.

  • Mentors other analysts in the documentation of large and complex projects.

  • Monitors the quality and progress of documents.

  • Documents formal specifications describing solutions to meet requirements.

  • Analyzes data held within transactional, warehouse, and data lakes, and communicates findings to senior management.

  • Analyzes information processing and computation needs.

  • Plans and designs computer systems using structured analysis, data modeling, and information engineering.

  • Develops, documents, and revises system design procedures, test procedures, and quality standards.

  • Consults with management to ensure agreement on system principles.

Education and Experience:

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal IT Data Analyst (or closely related occupation) performing data analysis, profiling, and modeling across Legal, Risk, & Compliance functions within the financial domain, using SQL, PL/SQL, and Python.

Skills and Knowledge:

Candidate must also possess:

  • Demonstrated Expertise ("DE") translating business requirements into data driven solutions (to create conceptual, logical and physical models) using SAP Power Designer; supporting unstructured and semi structured data storage design patterns using AWS-S3, Kafka, and Snowflake; parsing out attributes from data to identify patterns, using SQL, KSQL, or PL/SQL; and analyzing, evaluating, and creating data objects based on relational or dimensional data models in Oracle, Snowflake, MySQL, and PostgreSQL.

  • DE developing data profiling frameworks using SQL and Python; performing end-to-end data analysis and sourcing (to target data mapping) using Oracle, Snowflake, and ICEDQ; and establishing governance and dictionary data practices using Alation and Collibra.

  • DE designing and implementing data movement processes for data warehouses or datalakes by developing mappings and extract, transform, load (ETL) workflows, using Informatica, Apache Nifi, or Control-M; deploying code changes using Github or Jenkins; performing application testing to write stored procedure using PL/SQL and Python adhering to coding standards; and optimizing SQL queries and batch processes using Oracle, Snowflake, NiFi, and DBT.

  • DE performing data wrangling using Python, R, Alteryx, and Jupyter Notebook; performing data visualization using BI tools (PowerBI, tableau, and Excel); developing Machine Learning (ML) models using Artificial Intelligent (AI)/ML algorithm (decision tree model, k-Nearest Neighbors (KNN) model, Binary tree model, and Linear and Logistic regression data model) and Python and R to evaluate external and internal risk scores; and performing story creation, backlog refinement, and sprint planning according to Agile methodologies (Jira), within a financial services compliance environment.

Salary: $115,775.00 to $166,000.00/year.

#PE1M2

#LI-DNI

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


What Fidelity Investments employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom