### - Bachelor of Science (BS) in Computer Science or Information Systems, or equivalent work experience - Over 7 years of experience as a Data Analyst or Business Data Analyst in enterprise data settings - Demonstrated proficiency in programming languages, specifically SQL and Python for data validation, profiling, reconciliation, and analysis - Strong hands-on experience with Snowflake, including: - Capability to develop and optimize complex SQL queries - Knowledge of Variant/JSON parsing - Familiarity with schema and staging concepts - Skills in performance analysis and troubleshooting - Experience in Medallion Architecture (Bronze, Silver, Gold data layers) and understanding of data flow mapping across these layers - Proven expertise in API-based data ingestion, including REST APIs and JSON/XML - Ability to interpret API documentation and create field mappings for Snowflake ingestion - Experience in creating Source-to-Target mapping documents and transformation specifications - Strong grasp of data lineage, metadata traceability, and impact analysis - Competence in drafting Business Requirement Documents (BRDs), Functional Requirement Documents (FRDs), mapping documents, and business rule specifications - Effective communication skills with a proven ability to collaborate directly with business stakeholders - Excellent analytical and problem-solving abilities
Responsibilities:
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- Collaborate with business stakeholders to gather, validate, and refine data and reporting requirements - Convert business needs into detailed functional and technical documentation - Create thorough Source-to-Target Mapping (STTM/STM) documents that capture field-level data logic - Develop comprehensive Business Rules, Data Definitions, and Data Transformation documentation - Conduct thorough data lineage analysis across Snowflake, APIs, upstream sources, and reporting layers - Assist in data modeling and design in accordance with Medallion architecture principles - Perform data profiling, validation, and reconciliation using Snowflake SQL - Engage with REST API data integrations, including working with API specifications, understanding payloads, and mapping to Snowflake tables - Partner with data engineers, ETL/ELT developers, and QA teams to ensure accurate understanding of requirements - Support User Acceptance Testing (UAT) and resolve data-related discrepancies through iterative testing and validation - Provide mentorship and guidance to junior team members
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Company:
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We are a dynamic team seeking a remote Data Analyst to join our organization. In this role, you will be responsible for interpreting and analyzing data from various complex sources, such as ERP, HCM, and CRM systems. Your work will support data-driven decision-making while ensuring the accuracy and usability of our information within the Data Lakehouse. You will collaborate closely with business teams, data architects, and engineers to create secure and reliable data models and pipelines. We offer a range of comprehensive benefits, including medical, dental, and vision insurance, HSA, FSA, 401(k), and life insurance to eligible employees. Our work environment fosters growth and encourages mentorship, making it an excellent opportunity to advance your career.
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