Data Analyst

September 26

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Description

• Collaborate with business stakeholders to capture data requirements. • Collaborate with business stakeholders to capture OKRs. • Work with business leaders to prioritize data categories. • Define and create medallion architectures. • Use Visio to compose Entity Relationship Diagrams. • Document report requirements and develop prototypes. • Collaborate with business leaders to document data governance requirements. • Document the "to-be" systems. • Work closely with the business to develop and document data use cases. • Define and document specific data requirements for LLM and AI models. • Create comprehensive documentation of source systems. • Develop and maintain a catalog of reports. • Investigate data quality issues and make recommendations for improvement. • Utilize tools like SQL, Power BI, and Tableau for analysis and visualization. • Regularly review the current data model for performance improvements. • Stay current with industry trends in data analysis and reporting. • Provide support for ad hoc data analysis requests.

Requirements

• Minimum of 4 years of experience in a data analyst role or a similar position. • Solid understanding of statistical techniques and concepts, including data modeling, trend analysis, and hypothesis testing. • Excellent communication, both written and verbal. • Data visualization tools (e.g. Power BI). • Experience managing in a SCRUM environment • Knowledge of various machine learning techniques and their applications in solving business challenges, including supervised and unsupervised learning methods. although proficiency in coding is not required