| I tried to reach you for the position of DataAnalyst in NYC (Onsite Hybrid) at NYC, New York, USA |
| Email: [email protected] |
| From: Raj, Techgene Solutions LLC [email protected] Reply to: [email protected] I tried to reach you for the position of Data Analyst in NYC (Onsite Hybrid) I hope you are well. I am (Raj) with Techgene Solutions LLC. Were looking Data Analyst and I think your experience is a great fit for this role. If youre interested in learning more, Id love to connect with you. Please review th e Job description below and let me know if you are comfortable. I look forward to hearing from you soon. Thank you! Please share your profiles to [email protected] or you can reach me at 972-580-0247 Ext 253 Title:- Data Analyst Location: NYC (Onsite Hybrid) Mode Of Hiring: Long-term contract 10+ Years MUST 6 Positions Client Newyork life Role Summary: The role of the Data Analyst is to engage business stakeholders and be part of project teams to understand, verify and document business requirements with a core focus on data needs, including but not limited to how data are linked to business strategy, architected/modeled, created/procured, required for operational and analytical usage, shared, measured for data quality, protected/secured, and retained. The output from these analyses are data plans, that are the basis for utilizing existing data capabilities and evolving new data capabilities to deliver solutions and meet business needs. The role requires strong fundamental problem analysis and solving skills, and effective communication skills to translate business data requirements to Data Architects/Modelers, Engineers/Wranglers, Data Owners/Stewards, BI Solution Developers, and other business and technical roles. The role could potentially involve supporting Data Governance and Logical Data Modeling. Key Responsibilities: Support a data and analytics demand intake process, by guiding requestors to define the needs, and performing triage on the solution development direction 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 cataloging, metadata management, lineage, data quality and master data management. Engage and support Data Owners and Data Stewards. Logical Data Modeling: 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. Previous Experience: 3-5+ years of relevant experience performing data analysis Experience in solving problems of various low to high complexity developing insights from the analysis of data use of process and data modeling techniques and tools to represent current state and future state design and concept of operations leading/driving common business glossary/terminology, definitions and business rules using and supporting various data management tools and technologies including but not limited to data cataloging, data quality/profiling, and data lineage Data warehousing, business intelligence/reporting, analytics and/or data science Master Data Management projects and capabilities is highly desirable making and delivering presentations to business and technical staf Required Skills/ Knowledge: Ability to understand and analyze data needs in a business, process and analytical context Ability to understand, represent and translate business data requirements - verbally and in written form - to a variety of business and technical roles Strong problem analysis and solving Strong ability to model current and future state business processes and data domains/entities Ability to discover and understand data, data models, data rules and causal relationships at a summary and detailed level Strong technical proficiency and demonstrated ability with data management technologies such as data quality profiling tools, data catalog, and master data management Ability to perform basic project management functions such as project plan development and resource / time estimation of tasks Ability to test solutions to determine traceability to requirements Demonstrated ability to collaborate, communicate, build relationships, mentor and influence a community of data professionals across lines of business and functional areas Strong written, verbal and communication skills with the demonstrated ability to work with all levels within the organization Ability to tell a story through presentations, to motivate and influence adoption of new ideas and capabilities Awareness of relevant and emerging financial services / insurance data standards a plus Familiarity with IT functions and services Ability to work in a fast-paced environment and manage multiple simultaneous priorities Ability to think end-to-end, connect moving parts, and anticipate and manage change impacts Ability to define and leverage metrics to drive performance and outcomes Demonstrated knowledge of configuring and administering data catalogs, data glossaries, and data quality solutions is a plus Working knowledge of MS Word, Excel, and PowerPoint Experience with visualization tools like Tableau is desirable Working knowledge of current and future information management technologies, trends and applications Keywords: access management business intelligence information technology microsoft |
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| Tue Feb 07 03:03:00 UTC 2023 |