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Weekend Data Migration Jobs in Chicago, IL (NOW HIRING)

The Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the Bank. Key ...

New

Data Analyst Chicago or Dallas - WFH 2 days/week (onsite 3 days/week) As a Data Analyst, you'll focus on managing data, both from a technical standpoint and also functional standpoint to ensure the ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Data Analyst Chicago or Dallas - WFH 2 days/week (onsite 3 days/week) As a Data Analyst, you'll focus on managing data, both from a technical standpoint and also functional standpoint to ensure the ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

As a Data Architect, you will design the technical backbone of clients' data ecosystems, enabling scalable analytics, AI, and automation while leading the architecture of modern data platforms.

Data Architect

Chicago, IL · On-site

$66 - $85/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

As a Data Architect at West Monroe, you will lead the design, implementation, and optimization of data solutions that empower our clients to make data-driven decisions. You will play a critical role ...

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Data Analyst ID: 1628 Location: Chicago, IL, Washington, DC Group: Strategic Business Innovation & Technology More about this job > Description Position Summary: NAR is seeking a Data Analyst to help ...

Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) and ability to communicate complex data insights effectively. * Demonstrated effective interpersonal, influencing ...

Experience with data visualization tools (e.g., Tableau, Power BI, D3.js) and ability to communicate complex data insights effectively. * Demonstrated effective interpersonal, influencing ...

MUST HAVE: * 5+ years experience in Data Analysis * 3+ years experience with Hadoop * 3+ years experience Data modeling * 3+ years data warehousing * 3+ years Business Analyst experience * In-depth ...

Data Architect

Waukegan, IL

$60.50 - $78/hr

Skill Data Architect Location Waukegan, IL Total Experience 10 yrs. Max Salary $ DOE Per Hour Employment Type Contract Jobs (Temp/Consulting) Job Duration 10+ months Domain Any Description 10+ years ...

Data Analyst

Chicago, IL · On-site +1

Data Analyst - Inspire11 Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we ...

Data Architect

Chicago, IL

$65.75 - $84.50/hr

: Architect - Data Experience 13+ Years to work at the client place in Chicago, Key Responsibilities. We are seeking an experienced Architect - Data with 13+ years of experience in designing and ...

Data Analyst Location: Chicago IL 60629 Duration: 3 months (Could go beyond) Summary of Position: * The position is a part of the Chicago Bakery Team, and reports into the CI Engineers. They will ...

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high-caliber Senior Data & Analytics Engineer to serve as a Subject Matter Expert (SME) within our enterprise ...

Data Analyst

Chicago, IL · On-site

$18/hr

Our Data Analysts analyze, identify, and interpret patterns and trends in client data utilizing multiple systems. They then make recommendations to resolve exceptions and help us define process ...

Showing results 41-60

Weekend Data Migration information

See Chicago, IL salary details

$22

$69

$98

How much do weekend data migration jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for weekend data migration in Chicago, IL is $69.29, according to ZipRecruiter salary data. Most workers in this role earn between $56.44 and $86.92 per hour, depending on experience, location, and employer.

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?

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?

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 Chicago, IL?

The most popular types of Data Migration jobs in Chicago, IL are:

What are popular job titles related to Weekend Data Migration jobs in Chicago, IL?

For Weekend Data Migration jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Migration jobs in Chicago, IL look for?

The top searched job categories for Weekend Data Migration jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Weekend Data Migration jobs?

Cities near Chicago, IL with the most Weekend Data Migration job openings:

Data Analyst

Benda Infotech

Chicago, IL

$80K - $95K/yr

Full-time

Posted 3 days ago

New


Job description

Role Summary 

We are seeking a Data Analyst with strong analytical skills, attention to detail, and a problem‑solving mindset. This role will support business decision‑making by transforming raw data into actionable insights. The Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the Bank.

Key Responsibilities
  • Interpret and analyze structured data using industry best practices to support business and operational needs
  • Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
  • Extract, cleanse, validate, and transform data from primary and secondary data sources
  • Design, develop, and maintain business intelligence dashboards and recurring reports
  • Support the development and execution of data strategies that improve data quality, consistency, and usability
  • Collaborate with business, technology, and risk partners to ensure accurate and reliable reporting
  • Prepare and maintain technical documentation, data definitions, and process documentation
Qualifications & RequirementsMinimum Qualifications
  • 1–2 years of hands‑on experience in data analytics, reporting, or data automation
  • Experience preparing, blending, and analyzing data from multiple sources
  • Proficiency in:
    • Python, including data analysis libraries
    • SQL for querying relational databases
    • Power BI for dashboard development and data visualization
    • Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
  • Solid understanding of database concepts and data structures
  • Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
  • Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast‑paced environment
     
Preferred Qualifications
  • Experience working in a banking or financial services environment, or in a highly regulated industry
  • Familiarity with data governance, data quality controls, or regulatory reporting concepts
  • Experience documenting data flows, business rules, and analytical methodologies
  • Exposure to automation or process improvement initiatives related to reporting or analytics

Ability to collaborate effectively with both technical and non‑technical stakeholders