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Popular Data Analyst title, mid-level experience expectation, metro location, and broad skill requirements increase competition.
Core data modelling and analytics skills are transferable across industries, so low sensitivity.
No explicit years but specific data modelling and domain skills required, so moderate filtering.
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Partner with business stakeholders to gather and validate business, technology, and data requirements, defining scope, success criteria, and key metrics.
Design and build conceptual and logical data models (fact/dimension, star/snowflake schemas) aligned with enterprise data architecture to support analytics and reporting.
Engage throughout the project lifecycle to ensure final data solutions meet requirements and troubleshoot production issues related to data models.
Bachelor’s degree in Computer Science, Management Information Systems, or related field.
Experience designing conceptual and logical data models including fact/dimension and star/snowflake schemas.
Strong problem-solving and analytical skills.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in translating business requirements into data models and technical solutions with cross-functional collaboration.
Capable of stakeholder management and business process analysis to produce comprehensive documentation (BRD).
Familiarity with system design, data governance, metadata management, and exposure to SAP systems (ECC, CRM, Hybris) and planning applications (Hyperion, Enterprise Planning Management) is advantageous.