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

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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 popular job titles related to Temporary Data Extraction jobs in Lisle, IL?

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

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

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

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

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

Infographic showing various Temporary Data Extraction job openings in Lisle, IL as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution.

Senior Manager Analytics & Strategy

Alliant Credit Union

Chicago, IL • On-site

$134 - $229/hr

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

In this hybrid role based at our Chicago Headquarters, you will lead analytics and strategy for products such as credit card, HELOC, and Auto/RV lending by delivering rigorous analysis of market dynamics, business performance, member behavior, portfolio economics, growth opportunities, risk and return tradeoffs, and competitive positioning. Translate complex business questions into actionable insights, targeting strategies, and recommendations that improve member value, strengthen product competitiveness, and support financial performance. Partner with business leaders such as finance, credit risk, marketing and operations to align customer targeting, approve or decline pricing, and portfolio management policies across products.

  • Lead analytics across credit card, HELOC, and Auto/RV lending to evaluate business performance, market trends, portfolio dynamics, member behavior, growth opportunities, and performance gaps.
  • Develop analytical frameworks and recommendations for strategy, pricing, targeting, acquisition, retention, portfolio management, and business planning decisions while partnering with credit risk and other strategy stakeholders.
  • Analyze key performance indicators such as application volume, approval rates, booked loans, balances, utilization, activation, spend, attrition, credit quality, delinquencies, losses, margin, fee income, rewards cost, profitability, and member engagement.
  • Partner with leaders and functional partners to understand strategic priorities, frame high-value analytical questions, and identify opportunities to improve member value, product competitiveness, risk-adjusted returns, and overall business results.
  • Support business partners in developing targeting criteria, offer strategies, and segmentation approaches that deliver member value through competitive rates and offers while managing credit risk, profitability, capital, and return targets.
  • Use SQL and analytical coding tools to extract, transform, integrate, and analyze large datasets from internal and external sources, ensuring analyses are reproducible, well-controlled, and grounded in sound methodology.
  • Prepare analyses, business cases, strategic recommendations, and performance narratives for leadership meetings, business reviews, investment decisions, and planning discussions.
  • Support forecasting, scenario analysis, target setting, and financial planning by assessing historical results, current trends, market conditions, portfolio behavior, and key business drivers.
  • Participate in data infrastructure initiatives in partnership with data governance, data services, technology, information security, and business teams to improve accessibility, quality, usability, documentation, and ease of analytics for lending data.
  • Collaborate with cross-functional partners to assess member journeys, application and funding processes, credit strategies, pricing constructs, and operational friction points that influence conversion, experience, risk outcomes, and financial performance.
  • Maintain documentation for analytical logic, assumptions, data sources, metric definitions, code, model outputs, data limitations, and recurring analytical processes.
  • Plan, oversee and lead the work of the team to meet functional and individual operational objectives and goals. Coach, mentor, and develop staff, including overseeing new employee onboarding and providing career development planning and opportunities. Responsible for hire, fire, performance, discipline and problem-resolution decisions.
Education &Years of Experience
  • Minimum - 4 Year Bachelors Degree inBusiness, Finance, Economics, Marketing, Statistics, Data Analytics, Information Systems, or related
  • Preferred - Graduate Degree inBusiness, Finance, Economics, Marketing, Statistics, Data Analytics, Information Systems, or related
  • Minimum - 7 Years ofConsumer lending analytics, credit analytics, portfolio management, financial analysis, marketing analytics, product strategy, pricing analytics, or related
  • Minimum - 4 Years of People management
In Lieu of Education
  • 9 Years ofConsumer lending analytics, credit card analytics, portfolio analytics, financial analysis, marketing analytics, risk analytics, product strategy, pricing analytics, data analysis, or related analytical experience, including people management

Typical hiring range: $133,700.00 to $229,200.00 Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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