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Weekend Data Analytics Jobs in Illinois (NOW HIRING)

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Data Analyst

Des Plaines, IL · On-site

$22 - $26/hr

This role is an entry level role for candidates looking to build a career in data analytics. The Data Analyst will work closely with operations, production, supply chain, quality, and finance teams ...

Centuria

IL · On-site

Integrate, model, and operationalize data within data analytics and management platforms (such as Palantir Foundry or Databricks) to support pipelines, ontologies, and analytic workflows. * Develop ...

Centuria

Data Analyst

Scott Air Force Base, IL

Integrate, model, and operationalize data within data analytics and management platforms (such as Palantir Foundry or Databricks) to support pipelines, ontologies, and analytic workflows. * Develop ...

Old Republic

Data Analyst

Chicago, IL · On-site

Manager, Data & Analytics Department: Regulatory Compliance Services Location/Schedule: Chicago, IL/Hybrid, 3 days in-office and 2 days remote Classification: Full-Time /Exempt Who We Are : Old ...

AllSTEM Connections

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 ...

Benchmark Analytics

Data Analyst Lead

Chicago, IL · On-site

Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics. The Role: We are ...

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All JobsData Analytics JobsWeekend Data Analytics JobsWeekend Data Analytics Jobs in Illinois

Weekend Data Analytics information

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

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, data visualization, and domain knowledge that AI cannot fully replicate, making human expertise still valuable in the field.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and statistical tools that can be learned at any age. Many professionals successfully transition into data analytics later in their careers by gaining relevant certifications and experience. Employers often prioritize skills and experience over age when hiring for data analyst positions.

Can data analytics be a side hustle?

Data analytics can be a viable side hustle for professionals with skills in data analysis, visualization, and tools like Excel, SQL, or Python. Many analysts take on freelance projects or consulting work outside their main job, often working flexible hours to supplement income.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may work on weekends if project deadlines, data availability, or urgent issues require it. Flexibility can be important, especially in roles involving real-time data monitoring or client support.
What are the most commonly searched types of Data Analytics jobs in Illinois? The most popular types of Data Analytics jobs in Illinois are:
Weekend Data Analytics jobs near you

Data & Analytics Engineer (Microsoft Fabric)

Gulf Coast Automation Group

Chicago, IL • Remote

$110K - $130K/yr

Full-time, Contractor

Medical, Retirement, PTO

Posted 5 days ago

Job description

Job Title: Data & Analytics Engineer (Microsoft Fabric)
Primary Location: 2 days a week in Chicago's north Suburbs
Position Type: Direct hire
Overview
TalentFish is casting a line for a Data & Analytics Engineer to join a remote Contract-to-Hire opportunity with a client based in Illinois.
This role is ideal for a hands-on data professional who will serve as the client's internal Microsoft Fabric and Data Engineering subject matter expert (SME). The successful candidate will lead the design, development, and optimization of modern data solutions while driving best practices across Microsoft Fabric, Azure Databricks, SQL, and Power BI. You will partner with business and technical stakeholders to build scalable data platforms, establish governance standards, and deliver trusted analytics that support strategic business decisions.
What You Bring to the Role (Ideal Experience)

  • 6–8+ years of experience in Data Engineering, Data Analytics, Data Architecture, or a related discipline.
  • Bachelor's degree or equivalent combination of education and professional experience.
  • Advanced SQL skills, including data modeling, query optimization, and performance tuning.
  • Deep experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and Fabric Pipelines.
  • Strong experience with Azure Databricks, Delta Lake, Spark, and modern ELT/ETL development.
  • Experience designing scalable data architectures and enterprise data platforms.
  • Strong understanding of data governance, security, metadata management, and data quality best practices.
  • Experience integrating Microsoft Fabric with Azure Databricks using OneLake shortcuts and Delta Sharing.
  • Proficiency with Power BI, including semantic models, DAX, and enterprise reporting.
  • Experience with Azure DevOps, Git, CI/CD pipelines, and release management.
  • Experience supporting enterprise analytics initiatives and collaborating with cross-functional teams.
  • Strong analytical, communication, and stakeholder management skills.

What You'll Do

  • Serve as the client's internal Microsoft Fabric expert, providing technical leadership and guidance on enterprise data architecture and platform capabilities.
  • Design, build, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric, Azure Databricks, SQL, and Power BI.
  • Architect and optimize Lakehouse and Warehouse solutions within Microsoft Fabric.
  • Develop enterprise data models that support reporting, analytics, and AI initiatives.
  • Design and implement robust ELT/ETL processes for structured and semi-structured data.
  • Establish and promote data engineering best practices, governance standards, and data quality processes.
  • Build secure, scalable, and high-performing data environments across Microsoft Fabric and Azure.
  • Integrate Microsoft Fabric and Azure Databricks through OneLake shortcuts, Delta Sharing, and modern data architecture patterns.
  • Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
  • Support Data Engineering, Analytics, BI, and Data Science teams by providing reliable and governed data assets.
  • Develop executive dashboards, KPIs, and analytical reporting using Power BI.
  • Manage Azure DevOps repositories, pipelines, and deployment processes supporting continuous delivery.
  • Monitor and optimize platform performance, data pipelines, and storage utilization.
  • Evaluate and recommend emerging Microsoft data technologies and Fabric capabilities to continuously improve the client's data ecosystem.
  • Act as the primary point of contact for Microsoft Fabric architecture, data engineering strategy, and platform best practices across the organization.

Compensation Information
The expected compensation for this position is $110-130K yearly, depending on experience and qualifications. This Contract-to-Hire opportunity also offers comprehensive benefits, including health insurance, 401(k), and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This position requires authorization to work in the United States without current or future visa sponsorship.
All offers are contingent upon successful completion of a background check, which may include employment verification, education verification, reference checks, criminal history, drug screening, and other client-specific compliance requirements.
TalentFish is an employee-owned company transforming IT staffing through innovative technology, AI-driven recruiting, and an exceptional client and consultant experience.
TalentFish is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.