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Mid-level, popular data analyst role in metro with common SQL/Tableau skills increases applicant competition.
Core SQL and analytics skills are transferable across industries, though alternative-asset domain knowledge is advantageous.
Explicit 5+ years, mandatory SQL, dimensional modelling, and data governance requirements indicate high filter strictness.
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Own the building and maintenance of a comprehensive data catalogue including metadata documentation and quality assurance.
Design and implement dimensional data models and create detailed data flow mappings to optimize data storage, retrieval, and movement.
Collaborate cross-functionally with stakeholders and technical teams to define data requirements, resolve data quality issues, and enhance data platform capabilities.
Minimum 5+ years experience as a Data Analyst in transformation projects or data engineering/science teams.
5+ years expertise in SQL for data analysis, querying, and manipulation.
Experience with RDBMS, dimensional data modeling, and data analysis/reporting tools.
Ability to define functional requirements addressing complex analytical challenges and knowledge of SDLC methodologies (Agile preferred).
Experienced in working within multi-disciplinary teams involving data engineers, data scientists, and business stakeholders for data-driven projects.
Strong capability in translating complex data analytics into clear communication for non-technical stakeholders.
Familiarity or interest in alternative assets and exposure to dashboard visualization tools such as Tableau, Databricks Notebooks/Dashboards or Power BI is a plus.