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Temporary Data Extraction Jobs in Chicago, IL (NOW HIRING)

Staffingine LLC

Power BI Developer

Oak Brook, IL · On-site

Advanced proficiency in T-SQL, stored procedures, views, joins, * temp tables, and query optimization * Power Query: Data transformation and ETL development * SQL Server Agent : Job scheduling ...

Alliant Credit Union

Lead Data Engineer

Chicago, IL

$106K - $182K/yr

Support existing data pipelines on-prem, cloud and business engineering extract * Provide technical ... regular part-time, or temporary employment. Adhere to and ensure compliance of all business ...

Staffingine LLC

SQL Developer

Oak Brook, IL · On-site

$45.75 - $62.50/hr

Develop and maintain ETL processes to support data integration across systems. * Document data ... Advanced proficiency in T-SQL, stored procedures, views, joins, temp tables, common table ...

TEKsystems

Teradata Architect

North Chicago, IL · On-site

$50 - $100/hr

Skills Teradata, informatica, ETL, Architecture, Solution architecture, Data Mover Job Type ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

E*Pro, Inc.

IBM InfoSphere MDM Developer

Chicago, IL · On-site

... Temp-to-Hire. In addition, our industry expertise and knowledge within financial services ... Understanding of Data Quality and Governance issues around MDM implementation UNIX scripting ...

AllSTEM Connections

ETL Developer

Chicago, IL · On-site

$178K - $208K/yr

Job Title: Senior Enterprise Data Integration Engineer Role Overview We are seeking a Senior ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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All JobsData Extraction JobsTemporary Data Extraction JobsTemporary Data Extraction Jobs in Chicago, IL

Temporary Data Extraction information

What is a temporary data extraction job?

Temporary Data Extraction jobs involve short-term assignments where individuals are responsible for collecting, retrieving, and organizing data from various sources, such as documents, databases, or websites. These roles are typically project-based and may require the use of specialized software or tools to extract data efficiently and accurately. Temporary data extraction positions are common in industries undergoing digital transformation, data migration, or large-scale information updates. Workers in these roles need strong attention to detail and may work independently or as part of a team. Since these jobs are temporary, assignments can range from a few days to several months, depending on the project's scope.

What are the key skills and qualifications needed to thrive as a temporary data extraction specialist, and why are they important?

To thrive as a Temporary Data Extraction Specialist, you need strong attention to detail, data entry accuracy, and familiarity with spreadsheets or databases, typically supported by a high school diploma or equivalent. Proficiency with tools such as Microsoft Excel, data extraction software, and sometimes OCR systems is usually required. Analytical thinking, time management, and reliability are crucial soft skills for managing repetitive tasks and meeting deadlines. These competencies ensure accurate data collection, minimize errors, and help maintain workflow efficiency during short-term projects.

What are the typical challenges faced in a temporary data extraction role, and how can they be managed?

Temporary Data Extraction professionals often encounter challenges such as inconsistencies in source data, tight deadlines, and adapting quickly to new tools or procedures. It's important to pay close attention to detail and communicate regularly with team members or supervisors to clarify requirements and resolve ambiguities. Familiarizing yourself with the data extraction software and maintaining organized records can help manage workload efficiently. Additionally, being proactive about asking questions when encountering unclear data can prevent errors and streamline the extraction process.

What is the difference between Temporary Data Extraction vs Data Analyst?

AspectTemporary Data ExtractionData Analyst
Required CredentialsBasic technical skills, often no formal degree requiredBachelor's degree in data-related fields, certifications preferred
Work EnvironmentProject-based, short-term assignments, often remote or on-siteOngoing, full-time or part-time roles within organizations
Industry UsageCommon in data collection, research, and initial data processingUsed for interpreting data, creating reports, and strategic analysis

Temporary Data Extraction involves short-term tasks focused on collecting and extracting data, often requiring basic technical skills. Data Analysts typically hold formal education and perform ongoing analysis to support business decisions. While both roles work with data, their scope, credentials, and work environment differ significantly.

What are the most commonly searched types of Data Extraction jobs in Chicago, IL?

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

What are popular job titles related to Temporary Data Extraction jobs in Chicago, IL?

For Temporary Data Extraction jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Data Extraction jobs in Chicago, IL look for?

The top searched job categories for Temporary Data Extraction jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Temporary Data Extraction jobs?

Cities near Chicago, IL with the most Temporary Data Extraction job openings:

Temporary Data Extraction jobs near you

Power BI Developer

Staffingine LLC

Oak Brook, IL • On-site

Contractor

Re-posted 19 days ago

Job description

Job Title: Power BI Developer
Location: Oak Brook, IL  
Type: Contract

Job Description: We are seeking a skilled Power BI Developer to join our healthcare analytics team, focusing on health insurance payer operations and utilization management reporting. This role combines technical expertise in business intelligence development with healthcare industry knowledge to deliver actionable insights that drive operational efficiency and member outcomes.

Key Responsibilities

  • Scope, design, develop, and maintain Power BI dashboards, reports, and data
  • models for Innovista Health’s payer operations
  • Create interactive visualizations for utilization management metrics, claims
  • analytics, and operational KPIs
  • Build and optimize calculations, measures, and calculated columns for
  • healthcare and operational metrics
  • Develop automated ETL processes using T-SQL stored procedures
  • Optimize report performance and ensure scalability across large datasets
  • Collaborate with business and application teams to modify, enhance, and
  • Optimise existing PBI assets
  • Maintain version control and documentation for all PBI assets
  • Document PBI assets, owners, data sources
  • Create and maintain wikis documenting the purpose, audience, and companion
  • information for PBI asset  

Required Qualifications

  • Power BI Development: 2-4 years building dashboards, reports (stand-alone)
  • and paginated), and data models.
  • SQL Server: Advanced proficiency in T-SQL, stored procedures, views, joins,
  • temp tables, and query optimization
  • Power Query: Data transformation and ETL development
  • SQL Server Agent: Job scheduling, maintenance plans, and automated
  • workflows
  • ETL: Experience with ETL and reporting tools like SSIS, SQL Server Import, and Export Wizard, or similar technologies
  • Experience in Python, Ruby, or PowerShell for scripting and automation tasks. 

Preferred Qualifications

  • Payer Operations: Knowledge of claims processing and claim concepts,
  • provider and vendor data, staff productivity metrics
  • Utilization Management: Familiarity with authorisation concepts
  • Healthcare Data: General familiarity with healthcare claim concepts such as
  • claims, enrollment, utilisation, provider network data

Technical Competencies

  • Extensive Microsoft Power BI experience, including deployment, access
  • management, and health monitoring
  • Knowledge of star schema design and dimensional modelling
  • Performance optimization for healthcare datasets
  • Data governance and HIPAA-compliant user access best practices
  • Version control and publication/deployment processes in Power BI
  • Integration between multiple analytical and application SQL Server databases and Power BI ecosystems