Data Analyst

100% Remote must have 8+ yrs of exp. Looking for candidates with an independent visa only. Must have: data modelling, data analysis, and data warehousing // Snowflake // SAP BO // Power BI // Excel. At: max@gbs4u.com Job Description Duration: Contract – 12 months Responsibilities 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.