Auralis India Pvt Ltd
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst on a 12-month contract, offering a competitive hourly rate. Candidates must have 7–10 years of IT experience, 5–7 years in data analysis, and strong Snowflake and SQL skills. Remote work is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 25, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#Data Integration #Visualization #Computer Science #Physical Data Model #Data Warehouse #SQL (Structured Query Language) #Strategy #UAT (User Acceptance Testing) #SAP #Data Profiling #Datasets #EDW (Enterprise Data Warehouse) #SQL Queries #Data Cleaning #Programming #Microsoft Power BI #Snowflake #Data Manipulation #Data Quality #"ETL (Extract #Transform #Load)" #Data Analysis #Data Mart #Consulting #BO (Business Objects) #BI (Business Intelligence) #Python #Data Governance #Data Accuracy #Databases
Role 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
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
