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Data Analyst - Chicago, IL Fully Remote - US

Data Analyst - Chicago, IL

Part Time • Fully Remote - US
Replies within 24 hours
Job Description:
 
Company:
 
·      Grant Thornton is a major Audit, Tax, and Advisory Services company offering a broad range of services in strategy and consulting, operations, technology and more across various industries.
 
Location: 100% Remote - collaborating with teams based in both the United States and Ireland. Due to the Ireland component, schedule flexibility is essential to accommodate cross-time zone coordination.
 
No OT: Only seeking candidates on a straight hourly rate, no overtime rates will be approved!
 
Duration: Contract – 12 months
 
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.
 
·      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.

Qualifications:
 
·      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.
 
·      Stay updated with industry trends and best practices in data analysis, modeling, and reporting.
 
Interview Process:
 
·      30 minute technical interview with Manager
 
·      30 minute behavioral interview with Director

This is a remote position.

Compensation: $45.00 per hour




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