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Information Technology Data Analyst Jobs (NOW HIRING)

Job Summary The Data Analytics Professional turns business data into clear, actionable insights ... Bachelor's degree in information technology, business administration, project management, or ...

IT & Data Manager

Charlotte, NC ยท On-site

$95K - $125K/yr

IT & Data Manager Architect our data foundation and lead AI-driven transformation in beauty retail ... Implement analytics and behavioral tracking to capture browsing and purchase data that feeds into ...

Data Analyst - IT

Santa Ana, CA ยท On-site

$100 - $125/hr

Data Analyst - IT Full Time Professional Santa Ana, CA, US 6 days ago Requisition ID: 2440 Salary Range: $93,600.00 To $127,462.00 Annually NOTE: Maximum range is provided as an example of the wage ...

VP, IT Data, Analytics, & Innovations

$160K - $201K/yr

The Vice President, IT Data, Analytics, AI & Innovation is a strategic technology leader responsible for defining and executing Rimini Street's enterprise strategy for data, analytics, artificial ...

VP, IT Data, Analytics, & Innovations

$160K - $201K/yr

The Vice President, IT Data, Analytics, AI & Innovation is a strategic technology leader responsible for defining and executing Rimini Street's enterprise strategy for data, analytics, artificial ...

Community Bible Church-San Antonio San Antonio , TX Developer HTML/CSS Rock Admin SQL Support Database IT The Data Analyst Director plays a key role in helping Community Bible Church steward IT & Dat ...

An IT Data Scientist is a master professional who is fully responsible for advising the appropriate ... Responsibilities Execute large scale models using advanced analytical, modeling, and machine ...

IT Data Solutions Architect

$54.90 - $82.35/hr

Pay Range: $54.90 - $82.35 The IT Analytics Solution Architect is a strategic technical leader ... Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering or a ...

Data Analyst

Fenton, MO ยท On-site

Job Summary The IT Data Analyst position is an exciting opportunity to work on multiple applications and is responsible for multiple technologies and interfaces within the organization. Many of our ...

WI ยท On-site

U fungeert als brug tussen data providers (IT, Data Hub, Operations) en data gebruikers (AML ... Data Analysis & Troubleshooting Onderzoeken en oplossen van datadiscrepanties, inclusief mainframe ...

Data Analyst - IT IV

Chicago, IL ยท On-site

$55/hr

Data Analyst - IT IV Location: Houston, TX or Chicago, IL (Hybrid: 2-3 days in office) Requirement: POSITION OVERVIEW We are seeking a Senior Data Analyst to lead the development of dashboards and ...

TerraPower is a nuclear technology company based in Bellevue, Washington. At its core, the company ... Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Engineering ...

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Information Technology Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do information technology data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for information technology data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is an information technology data analyst?

An Information Technology (IT) Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed technology decisions. They work with large sets of IT-related data, such as system performance metrics, user activity logs, and security incidents, to identify trends and recommend improvements. Their responsibilities often include data visualization, database management, and collaborating with IT teams to optimize business operations and enhance system efficiency.

What are the key skills and qualifications needed to thrive as an information technology data analyst, and why are they important?

To thrive as an Information Technology Data Analyst, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science, information systems, or a related field. Familiarity with tools like SQL, Python, Excel, and business intelligence platforms such as Tableau or Power BI, along with certifications like Microsoft Certified: Data Analyst Associate, is often required. Effective communication, critical thinking, and attention to detail are vital soft skills for conveying insights and collaborating with stakeholders. These competencies allow analysts to transform raw data into actionable intelligence, supporting informed decision-making and organizational efficiency.

What are some common challenges information technology data analysts face when working with large datasets, and how are these typically addressed within a team?

Information Technology Data Analysts often encounter challenges such as data quality issues, incomplete or inconsistent data, and the complexity of integrating data from multiple sources. To address these, analysts commonly collaborate closely with database administrators, data engineers, and business stakeholders to implement data cleaning processes and validation checks. Teams often use version control systems and standardized documentation to ensure data integrity and facilitate seamless collaboration. Regular team meetings and agile workflows also help in quickly identifying and resolving data-related obstacles.
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Infographic showing various Information Technology Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

IT Data Scientist

Austin, TX โ€ข On-site

Other

Posted 14 days ago


Job description

Added - 2 days ago IT Data Analyst 5 Information Technology Austin , Texas | Contract Or

Related Information Technology Jobs

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The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.

RESPONSIBILITIES
  • Translate plant and business problems into measurable analytical questions and use cases.
  • Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.
  • Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.
  • Perform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.
  • Develop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.
  • Evaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.
  • Convert findings into practical recommendations that plant personnel and leaders can use in daily decisions.
  • Create dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.
  • Productionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.
  • Monitor model performance, data drift, pipeline health, and business impact after deployment.
  • Support manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.
REQUIREMENTS
  • Bachelors Degree in a technical field such as computer science, computer engineering or related field required
  • 8-10 years applicable experience required
  • Data modeling at least 8-10 years of experience
  • Data pipeline at least 8-10 years of experience
  • Data analytics โ€“ able to build something out of messy data at least 8-10 years of experience
  • Experience with database technologies
  • Knowledge of the ETL process
  • Knowledge of at least one scripting language
  • Strong written and oral communication skills
  • Strong troubleshooting and problem solving skills
  • Demonstrated history of success
  • Desire to be working with data and helping businesses make better data driven decisions

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