Data Modeling Analyst develops data models to meet the needs of the organization's information systems. Manages the flow of information between departments through the use of relational databases. Being a Data Modeling Analyst maintains data integrity by working to eliminate redundancy. Stays informed of the ways the organization uses its data. Additionally, Data Modeling Analyst requires a bachelor's degree. Typically reports to a manager. The Data Modeling Analyst gains exposure to some of the complex tasks within the job function. Occasionally directed in several aspects of the work. To be a Data Modeling Analyst typically requires 2 to 4 years of related experience. (Copyright 2024 Salary.com)
Data Analyst :-
Drive the definition, design and delivery of new data products within the customer's Data Platform and related applications
Work with Data Engineers, Data Scientists and Data analysts as a single Agile scrum teams on design, definition, documentation and implementation of features for new applications, business infrastructure, data security, and data structures
Document and enter user stories in Jira and assist in story point analyses
Document monitor and revise the following artifacts in support of application development: product requirements, process maps, use cases, user acceptance test plans, project plans, and release notes.
Create product strategy documents/PRDs that describe business cases, high-level use cases, technical requirements and ROI
Coordinate and participate in user acceptance testing of functional requirements.
Develop, update and implement standard operating procedures for deliverables including Reports, Analysis, Presentations and Technical Deliverables.
Interpret and prioritize business needs across various stakeholders group including other Product Managers, Business Analytics and CDM
Define and track key success metrics and SLAs on the key data products and services Ideal candidate will have following Background and Skills:
Ability to handle ambiguity and fast-paced environment. Prior experience in managing Director level stakeholders a plus.
Hands-on experience with SQL and Python
Ability to formulate project strategy & roadmap through Metrics and Data-driven approach.
Ability to pick-up new technology trends and vocabulary of Big-data Tech stack in a short amount of time.
Strong analytics and structured problem-solving skills.
Strong written and verbal communication skills.
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