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Data Loading Analyst Jobs (NOW HIRING)

Neshent Technologies

IL · On-site

Support Workday data management activities, including data extraction, data loading, validation ... Strong analytical, problem-solving, organizational, and communication skills. * Ability to manage ...

Neshent Technologies

Support Workday data management activities, including data extraction, data loading, validation ... Strong analytical, problem-solving, organizational, and communication skills. * Ability to manage ...

Neshent Technologies

Support Workday data management activities, including data extraction, data loading, validation ... Strong analytical, problem-solving, organizational, and communication skills. * Ability to manage ...

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How much do data loading analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data loading 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 a data loading analyst?

A Data Loading Analyst is a professional responsible for importing, validating, and managing large sets of data within an organization's databases or systems. They ensure that data from various sources is accurately loaded, transformed, and integrated according to business requirements. Their work helps maintain data integrity, support business intelligence activities, and facilitate smooth data migrations or system updates. Data Loading Analysts often collaborate with data engineers, IT teams, and business analysts to meet organizational data needs.

What are the key skills and qualifications needed to thrive as a data loading analyst, and why are they important?

To thrive as a Data Loading Analyst, you need a solid understanding of data management, ETL (Extract, Transform, Load) processes, and database concepts, often supported by a degree in computer science or a related field. Familiarity with data integration tools such as Informatica or Talend, and proficiency in SQL or other database querying languages, are commonly required. Attention to detail, problem-solving ability, and strong communication skills help ensure data accuracy and effective collaboration with business and IT teams. These skills are essential for maintaining data integrity and supporting informed business decisions.

What are some common challenges faced by data loading analysts when managing large data integration projects?

Data Loading Analysts often encounter challenges such as handling data inconsistencies, meeting tight deadlines for large-scale uploads, and ensuring data accuracy across multiple sources. Collaboration with IT teams and business stakeholders is crucial to resolve discrepancies and validate data mappings. Additionally, adapting to evolving data formats and troubleshooting loading errors are common parts of the role. Proactive communication and strong problem-solving skills can help mitigate these challenges and ensure smooth data integration.
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Data Loading Analyst jobs near you
Infographic showing various Data Loading Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Workday Data Governance Analyst

Glencoe, IL • On-site

Neshent Technologies
11 - 50 employees
Learn more about Neshent Technologiesexternal

Full-time

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

Job description

Primary Responsibilities
  • Manage the review and analysis of master data maintenance requests and determine appropriate corrective actions.
  • Ensure accurate master data is maintained across key systems and business processes.
  • Establish and manage issue resolution processes with key stakeholders.
  • Serve as an end-to-end master data subject matter expert from both business and data perspectives.
  • Support planned and ad-hoc data analysis and master data issue resolution activities.
  • Partner with downstream stakeholders to facilitate end-to-end master data updates.
  • Support month-end, quarter-end, and year-end close activities for applicable data domains.
  • Develop and maintain a comprehensive data catalog and business glossary.
  • Assist with the development and maintenance of data standards, policies, procedures, and data quality rules.
  • Lead process improvements related to data flow and data quality to improve accuracy, consistency, and value.
  • Coordinate recommendations for critical processes with functional, operational, and technical stakeholders.
  • Analyze the impact of master data changes across data domains, business processes, downstream systems, and transactions.
  • Support Workday data management activities, including data extraction, data loading, validation, and maintenance.
  • Develop and manage Workday EIBs for data loads and updates.
  • Support Workday Supplier data and related Procure-to-Pay master data activities.
  • Perform other related duties as assigned.
Required Qualifications
  • Bachelor's degree in Business Administration, Finance, Data Management, or a related discipline.
  • 5+ years of directly related experience in data management, master data, or data governance.
  • Experience working with master data within a mid-size or large organization.
  • Understanding of data management and data governance principles.
  • Experience developing and maintaining a business data glossary and data quality rules.
  • Workday experience, with emphasis on Workday Supplier data.
  • Experience extracting and loading data in Workday.
  • Hands-on experience building and managing Workday EIBs.
  • Strong Microsoft Excel skills, including VLOOKUP, SUMIF, and PivotTables.
  • Ability to work effectively with both technical and non-technical stakeholders.
  • Strong analytical, problem-solving, organizational, and communication skills.
  • Ability to manage multiple priorities and complete deliverables accurately and on time.
  • Strong attention to detail and ability to work independently and as part of a team.

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