AHU Technologies Inc is hiring: Data Analyst Chicago IL in Washington DC

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.