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Role Overview: As a Business System Analyst at our company, you will play a crucial role in bridging the gap between stakeholders and technical teams. Your primary responsibilities will include translating business requirements into data workflows, designing efficient ETL processes using Python and SQL, and unlocking insights to drive strategic decisions. Your contributions will directly impact operational optimization, customer experiences, and innovation within the organization. Key Responsibilities: - Collaborate with business stakeholders to gather, analyze, and document requirements for data-driven projects. - Design, develop, and optimize ETL workflows to integrate data from multiple sources into the analytics ecosystem. - Write efficient SQL queries for data extraction, transformation, and reporting. - Utilize Python for data processing, automation scripts, and advanced analytics. - Partner with data engineers to ensure data quality, integrity, and governance. - Create clear documentation, process flows, and data dictionaries for ongoing reference. - Support UAT (User Acceptance Testing) and troubleshoot issues to ensure smooth project delivery. Qualifications Required: - 36 years of experience as a Business/System/Data Analyst with strong ETL, Python, and SQL skills. - Proven ability to translate business needs into technical specifications. - Hands-on experience with ETL tools such as Informatica, Talend, SSIS, or custom Python ETL scripts. - Strong SQL skills for complex joins, aggregations, and performance tuning. - Proficiency in Python for data manipulation (Pandas, NumPy) and automation. - Excellent communication skills to collaborate effectively with technical and non-technical teams. - Experience in Agile/Scrum environments is a plus. Please note that the additional details about the company were not explicitly mentioned in the provided job description. Role Overview: As a Business System Analyst at our company, you will play a crucial role in bridging the gap between stakeholders and technical teams. Your primary responsibilities will include translating business requirements into data workflows, designing efficient ETL processes using Python and SQL, and unlocking insights to drive strategic decisions. Your contributions will directly impact operational optimization, customer experiences, and innovation within the organization. Key Responsibilities: - Collaborate with business stakeholders to gather, analyze, and document requirements for data-driven projects. - Design, develop, and optimize ETL workflows to integrate data from multiple sources into the analytics ecosystem. - Write efficient SQL queries for data extraction, transformation, and reporting. - Utilize Python for data processing, automation scripts, and advanced analytics. - Partner with data engineers to ensure data quality, integrity, and governance. - Create clear documentation, process flows, and data dictionaries for ongoing reference. - Support UAT (User Acceptance Testing) and troubleshoot issues to ensure smooth project delivery. Qualifications Required: - 36 years of experience as a Business/System/Data Analyst with strong ETL, Python, and SQL skills. - Proven ability to translate business needs into technical specifications. - Hands-on experience with ETL tools such as Informatica, Talend, SSIS, or custom Python ETL scripts. - Strong SQL skills for complex joins, aggregations, and performance tuning. - Proficiency in Python for data manipulation (Pandas, NumPy) and automation. - Excellent communication skills to collaborate effectively with technical and non-technical teams. - Experience in Agile/Scrum environments is a plus. Please note that the additional details about the company were not explicitly mentioned in the provided job description.
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