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Strong employer brand, metro location, generalist data title, and broad BI/data-platform skillset drive high competition.
Technical SQL, ETL, and BI skills are broadly transferable across industries, though financial domain knowledge helps.
Mandatory advanced SQL, Snowflake, BusinessObjects, ETL, and data governance requirements create high shortlisting strictness.
Gather, analyze, and document business requirements and translate them into functional specifications and scalable data solution designs.
Collaborate with engineering and business teams to deliver data pipelines, APIs, reporting solutions, and ensure data quality and governance compliance.
Leverage AI tools to enhance analysis, documentations, and uncover data insights to solve complex analytical challenges.
Experience Required: Experience in systems analysis, business analysis, or data analysis with enterprise data platforms.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related discipline.
Technical skills including advanced SQL, data warehousing, Oracle/Snowflake DB, BusinessObjects or similar BI tools, and API integration.
Experience in data validation, testing, quality assurance, and Agile tools like JIRA and Confluence.
Experienced in bridging business and technology teams to deliver scalable, business-focused data solutions in complex environments.
Proficient in applying AI techniques to accelerate data analysis and improve solution accuracy.
Comfortable working with enterprise cloud data architectures, modern data platforms, and collaborating across Sales, Marketing, and analytics stakeholders.