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Data Analyst
Data AnalystAuralis India Pvt Ltd • Chicago, IL, US
Data Analyst

Data Analyst

Auralis India Pvt Ltd • Chicago, IL, US
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Data Analyst

Chicago, IL

Contract

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.

This position may be offered to a candidate authorized to work in the US for his / her / their stated employer, without any restrictions which would prevent the candidate from working on the proposed assignment for the duration of the assignment period.

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
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