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Data Analyst

Job in Downers Grove, DuPage County, Illinois, 60516, USA
Listing for: Apex Systems
Full Time, Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 65 - 85 USD Hourly USD 65.00 85.00 HOUR
Job Description & How to Apply Below

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This range is provided by Apex Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $85.00/hr

Responsibilities
  • Serve as a technical resource for strategic oversight, planning, and development of data models and database structures to support global needs.
  • Translate logical designs into physical databases and define data flows through successive stages.
  • Plan, design, and document logical and physical enterprise relational data models.
  • Facilitate and participate in design meetings and review sessions with development, architecture, data integration, BI teams, and power users.
  • Implement physical data models on platforms such as Snowflake.
  • Gather data requirements by working with end users.
  • Analyze complex data sources and develop source-to-target mapping documents, including business transformation rules.
  • Perform data quality analysis and profiling to ensure integrity and accuracy.
  • Support QA and end users during testing phases, including QA and User Acceptance Testing.
  • Provide daily production support and ongoing maintenance for the enterprise data warehouse.
  • Identify problematic data areas, research root causes, and determine corrective actions.
  • Support data governance by developing processes and queries to monitor and ensure data quality.
  • Gather, clean, and preprocess data from various sources, ensuring integrity and quality.
  • Identify KPIs and develop metrics to track and measure business performance.
  • Monitor data quality, identify issues, and propose cleansing or enhancement solutions.
  • Stay updated with industry trends and best practices in data analysis, modeling, and reporting.
Qualifications
  • Demonstrate strong individual contribution and teamwork, with excellent communication skills.
  • Adapt quickly to change with a flexible, cooperative work style and ability to reprioritize as needed.
  • Bachelor of Science (BS) in computer science or information systems (or equivalent work experience).
  • 7–10+ years of overall IT experience in software development or data-related roles, with evidence of increasing responsibility.
  • 5–7 years of significant data analysis experience, including 2–4 years building complex data models.
  • 2+ years of data profiling experience.
  • 3–5 years of strong Snowflake experience; ability to construct complex SQL queries.
  • Proven experience with programming languages such as SQL and Python for data manipulation and analysis.
  • Experience with data analysis and visualization tools such as SAP BO, Power BI and Excel.
  • Extensive knowledge of advanced concepts, practices, and procedures in analytic database environments.
  • Proficiency with best practices in data modelling, data analysis, and data warehousing concepts.
  • Ability to understand requirements and create complex relational data models.
  • Ability to create data flow and process flow diagrams.
  • Knowledge of BI methodologies, Data Marts, Data Warehousing, OLAP tools and techniques (a plus).
  • Experience in professional services, accounting industry, or client service/consultative technology roles (a plus).
  • Strong analytical and problem-solving skills to interpret complex data sources and generate meaningful insights.
  • Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure.
  • Good business knowledge and confident decision-making skills.
  • Excellent written and oral communication skills, including business writing.
  • Ability to communicate strategies around data modelling and architecture to cross-functional teams and business executives.
  • Attention to detail and ability to maintain data accuracy and integrity.
  • Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques.
  • Team oriented, flexible, and able to work in an ambiguous and/or changing work environment.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology
Industries: IT Services and IT Consulting

Location: Chicago, IL

Apex Systems is an equal opportunity employer. We do not discriminate or allow…

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