Direct Client - Data Analyst - Contract - NY (Hybrid) -Only local at Remote, Remote, USA |
Email: [email protected] |
From: sudharsan.s, Vysystems [email protected] Reply to: [email protected] Agile Methodologies Data Analysis Data Governance Data Quality Business Analysis Job Description: Key Responsibilities Engage business leaders/staff and technology leaders/staff in an end-to-end process to understand and communicate data requirements and translate to develop solutions Apply problem-solving techniques to determine impact, root cause analysis, and solution options Test solutions to verify traceability to requirements Data Governance: Understand key business and technical decisions through-out the lifecycle of data. Own the evolution and champion adoption of key data governance capabilities including data cataloguing, metadata management, lineage, data quality and master data management. Engage and support Data Owners and Data Stewards. Logical Data Modelling: Understand data requirements and translate to conceptual and Logical Data Models (LDM). Model data attributes, data rules, and relationships. Facilitate development and consensus on data standards and rules. Translate LDM constructs to publish in data catalogs, and to Data Architects/Modelers, Data Engineers, BI Developers and Data Scientists. Master Data Management: Analyse needs to develop a "golden source" of high-quality master data. Develop data cleansing, match/merge and survivorship rules, and operational metrics. Gain insights from metrics to evolve MDM/RDM capabilities. Data Quality: Use automated tools to profile data sources to measure current state data quality. Develop data quality rules and metrics. Track and analyse data defects and determine root-causes. Data Protection: Analyse select data sources (databases, file shares, etc.) using automated scanning technologies, analyse and identify potential gaps in data security with a focus on highly sensitive data (e.g., Personal Identifying Information). Keywords: business intelligence |
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Wed Aug 02 20:04:00 UTC 2023 |