### Job_Dedcrip:
Location Designation:.Hybrid...When you join New York Life, you're joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You'll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture....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....Education/Training:....Required:..Bachelor's degree; equivalent work experience accepted..Preferred:...M.B.A. or Master's in Management or Technology; equivalent work experience accepted...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 staff  supporting change and managing transitions is highly desirable the Insurance industry is highly desirable...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...Salary range:.$90,000-$135,000....Overtime eligible:.Exempt....Discretionary bonus eligible:.Yes....Sales bonus eligible:.No...Click here to learn more about our benefits . Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required....Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses Be Good At Life. To learn more, please visit LinkedIn , our Newsroom and the Careers page of  ....Job Requisition ID: 86301""

### Response:

Job Requirements:- Bachelor's degree or equivalent work experience- 3-5 years of relevant experience performing data analysis- Strong problem analysis and solving skills- Ability to understand and analyze data needs in a business, process and analytical context- 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- Strong written, verbal and communication skills with the demonstrated ability to work with all levels within the organization- Ability to work in a fast-paced environment and manage multiple simultaneous priorities- Working knowledge of MS Word, Excel, and PowerPoint- Experience with visualization tools like Tableau is desirable- Familiarity with IT functions and services- Awareness of relevant and emerging financial services/insurance data standards a plus- M.B.A. or Master's in Management or Technology preferred, equivalent work experience accepted- Experience in data warehousing, business intelligence/reporting, analytics and/or data science- Master Data Management projects and capabilities highly desirable- Supporting change and managing transitions highly desirable in the Insurance industry