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Weekend Data Migration Jobs in Illinois (NOW HIRING)

Spruce Infotech

Data Analyst

Lake Forest, IL · On-site

Perform source-to-target data mapping for data migration, integration, and reporting projects. * Analyze complex datasets to identify data quality issues, inconsistencies, and transformation ...

Saicon Consultants Inc.

Data Analyst

Rosemont, IL · On-site

Experience with data migration and platform transformation. * Technical Skills: * SQL mandatory, with complex queries and reconciliation. * Data analysis tools like Excel and Python preferred.

Ask IT consulting

Data Analyst

Chicago, IL

Experience creating business requirements for data migration from source applications to Enterprise Repositories using Mapping documents, Source to Target Transformation Documents. * Experience with ...

MDT Technical

Data Analyst - Salesforce

Park Ridge, IL · On-site

Source-to-target mapping and migration readiness. * SQL, Excel, structured data analysis, and reporting datasets. * Data quality issue identification and documentation. * Working with business and ...

Prophecy Technologies

Azure Data Analyst

Chicago, IL · On-site

Support data modernization and cloud migration initiatives.Data Governance & QualityEnsure data quality| lineage| metadata management| and governance standards.Partner with Data Governance teams and ...

SAIC

Cloud Administrator

Scott Air Force Base, IL · On-site

... data migration techniques and tools for the most efficient solution to meet business needs ... However, employees are required to provide after-hours and weekend support during planned or ...

SAIC

Cloud Systems Engineer

Scott Air Force Base, IL

$54 - $72/hr

... data migration techniques and tools for the most efficient solution to meet business needs ... However, employee may be required to provide after-hours and weekend support during planned or ...

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All JobsData Migration JobsWeekend Data Migration JobsWeekend Data Migration Jobs in Illinois

Weekend Data Migration information

What are some common challenges faced during weekend data migration projects, and how can I prepare for them?

Weekend data migration roles often involve tight timelines and the need to minimize downtime for critical business systems. Common challenges include unexpected data compatibility issues, managing large volumes of data within limited windows, and coordinating across IT teams to ensure a smooth transition. To prepare, it's important to thoroughly review migration plans, communicate clearly with stakeholders, and have contingency strategies for potential setbacks. Familiarity with data migration tools and strong troubleshooting skills can help you address issues quickly and keep the project on track.

What is the difference between Weekend Data Migration vs Weekend Data Analyst?

AspectWeekend Data MigrationWeekend Data Analyst
Required CredentialsData management certifications, SQL, ETL toolsData analysis certifications, Excel, SQL
Work EnvironmentIT teams, data centers, migration projectsBusiness units, reporting environments, analytics projects
Industry UsageIT, data management, software companiesMarketing, finance, retail, business intelligence

Weekend Data Migration focuses on transferring and updating data systems, requiring technical skills in data management and ETL tools. Weekend Data Analyst interprets data to provide insights, emphasizing analytical skills and reporting. Both roles may work during weekends but serve different functions within data projects.

What is a Weekend Data Migration job?

A Weekend Data Migration job involves transferring data from one system or platform to another during weekends to minimize disruption to regular business operations. Professionals in this role are responsible for planning, executing, and verifying data migrations, ensuring data integrity and security throughout the process. These jobs often require expertise in database management, data mapping, and troubleshooting. Weekend shifts are common because system downtime is less likely to impact business activities during these periods.

What are the key skills and qualifications needed to thrive as a Weekend Data Migration Specialist, and why are they important?

To thrive as a Weekend Data Migration Specialist, you need expertise in database management, data mapping, and experience with data migration processes, often supported by a degree in computer science or related field. Familiarity with ETL tools, SQL, and systems like Oracle, SAP, or Microsoft Azure is typically required, and relevant certifications such as Microsoft Certified: Azure Data Engineer can be advantageous. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for coordinating with teams and troubleshooting issues under tight timelines. These skills ensure data integrity, minimize downtime, and enable smooth system transitions during critical weekend migration windows.
What are the most commonly searched types of Data Migration jobs in Illinois? The most popular types of Data Migration jobs in Illinois are:
What are popular job titles related to Weekend Data Migration jobs in Illinois? For Weekend Data Migration jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Weekend Data Migration jobs in Illinois look for? The top searched job categories for Weekend Data Migration jobs in Illinois are:
What cities in Illinois are hiring for Weekend Data Migration jobs? Cities in Illinois with the most Weekend Data Migration job openings:
Weekend Data Migration jobs near you
Infographic showing various Weekend Data Migration job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Analyst

Spruce Infotech

Lake Forest, IL • On-site

Contractor

Re-posted 26 days ago

Job description

We are seeking a detail-oriented Data Analyst with strong experience in data mapping, data analysis, and data transformation. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to analyze source and target data structures, define mapping requirements, and ensure accurate data migration and integration across systems.
Key Responsibilities
  • Gather, analyze, and document business and data requirements.
  • Perform source-to-target data mapping for data migration, integration, and reporting projects.
  • Analyze complex datasets to identify data quality issues, inconsistencies, and transformation requirements.
  • Create and maintain mapping documents, data dictionaries, and metadata repositories.
  • Work with business users to understand data elements, relationships, and business rules.
  • Validate data mappings and transformation logic through testing and reconciliation activities.
  • Collaborate with ETL developers, Data Engineers, and QA teams to ensure accurate implementation of mappings.
  • Conduct data profiling and data quality assessments.
  • Support data governance initiatives by documenting data lineage and business definitions.
  • Prepare reports, dashboards, and analytical insights as required.
Required Skills
  • 5+ years of experience as a Data Analyst.
  • Strong experience in Data Mapping and Source-to-Target Mapping (STM).
  • Proficiency in SQL for data analysis and validation.
  • Experience with data migration, data integration, and ETL processes.
  • Strong understanding of relational databases and data models.
  • Experience with data profiling and data quality analysis.
  • Ability to create detailed mapping specifications and functional documentation.
  • Excellent analytical, problem-solving, and communication skills.
Preferred Skills
  • Experience with ETL tools such as Informatica, Talend, SSIS, or DataStage.
  • Knowledge of cloud data platforms (AWS, Azure, or GCP).
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Familiarity with data governance and master data management concepts.
Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.

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