Need Profiles by EOD

• JR ID: Will be shared in a day or two.
• Job Role / Title: Data Business System Analyst
• No. of Roles: 1
• Work Location: United States (Work time will be as per EST)
• Work Mode: Remote
• Employment Type: Contract
• Start Date: Immediate
• Required Skills: SQL, Python, Data Analytics , Databricks architecture, Unity Catalog, Collibra data catalogue and data governance modules Candidate should be comfortable working in onshore and offshore model.
• Client (for your reference only and please do not reach out to candidates who are currently working with this client): McAfee

Required Skills / Job Description:

Role Overview:

This role will be responsible for translating business needs into technical requirements, managing logical data models, and working closely with ingestion and curation teams. This role requires a deep understanding of:

Logical data modeling

Complex metadata management

Developing, managing, and aligning technical data requirements

Data curation

Data governance

About the role:

Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition

Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams

Design logical data model and orchestration requirements

Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads

Oversee data catalog entries and enforce data cataloging rules

Manage access controls for end data products

Manage change requests to the structure, definitions and/or security of identified data objects

Communicate with the Business Data System Owner and Business Data Steward on metric updates

Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues

About you:

Hold a Bachelor's degree in computer science, engineering, statistics, economics, or MBA

Bring 3+ years of experience in data engineering or data analysis

Have hands-on experience with and understanding of the following:

SQL

Python or other programming language

Databricks or other cloud data management platform

Technical and business data cataloging

Logical data modeling, including experience designing logical data models

ETL/ELT tools such as Apache Airflow

Data dictionary development

Bring proven experience in data management, requirements management, and metadata management