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Information Technology Data Analyst Jobs (NOW HIRING)

NEOGOV is looking for a Title III Data Analyst to support the Title III Project Director and ... Required : โ€ข Bachelor's degree in Computer Information Technology, Data Science, Statistics or a ...

South Slope is looking for an IT Data Administrator to help design, install, and support robust ... Analyze network traffic, usage, and capacity to forecast future needs. * Design and implement ...

IT & Data Project Manager

Houston, TX ยท On-site

$85K - $100K/yr

About the Role Hays Electrical Services is hiring its first dedicated Project Manager to help its IT, Data, and Business Intelligence teams get structured. Today this work is coordinated informally ...

Health IT Data Scientist

Continental, OH ยท Remote

$110K - $120K/yr

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision ...

TI is seeking a full-time IT Data Manager in Lehi, Utah. Our innovations are at the core of nearly ... Manage the health and the capacity of production databases by establishing audits/traces, analyzing ...

Company Description ASK IT consulting is an equal opportunity employer, which is a global staffing ... We have openings for Business Systems/Data Analyst for one of our client at Richardson, TX or ...

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Information Technology Data Analyst information

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$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.

Analyst, Information Technology (Data Engineer)

San Juan, PR โ€ข Hybrid

Oriental Bank
Finance and Insuranceย โ€ขย 1 - 5K employees

$112K - $134K/yr

Full-time

Re-posted 29 days ago


Job description

OFG Bancorp is looking for an experienced Mid-Level Data Engineer to design, build, and operate scalable data pipelines and data platforms supporting banking and financial services data domains, including customer, account, transaction, and product data.
This role operates within a regulated financial services environment and partners closely with data architecture, analytics, risk, and technology teams to deliver secure, reliable, and analytics ready data products using Snowflake and AWS. Position works hybrid and reports to San Juan, PR.

MAIN DUTIES & RESPONSIBILITIES:

  • Design, develop, and maintain ELT/ETL pipelines for batch and eventdriven data ingestion using Snowflake and AWS.
  • Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
  • Develop scalable data processing solutions using SQL and Python.
  • Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
  • Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
  • Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
  • Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
  • Support production deployments using Gitbased version control, CI/CD pipelines, and infrastructureascode practices.
  • Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required.
  • Three (3)+ years of professional experience in Data Engineering or a related role required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Strong handson experience with Snowflake, including data ingestion, transformations, and performance optimization.
  • Experience working within AWS cloud environments, particularly with S3 and serverless services.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Proficiency in Python for data processing and pipeline automation.
  • Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
  • Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

  • Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
  • Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
  • Exposure to streaming or nearrealtime data (Kafka, Kinesis, or eventdriven architectures).
  • Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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