Video
Local
USC
Hybrid
Job Description
As a Sr. Cloud Data Analyst with the Data Platform team, you will liaise between Business and Technical teams to define the data standard and data governance rules based on the inputs received from the business and data stewards. Own the roadmap and manage stakeholder relationships. You will partner with system of record technical counterparts, business lines, platform owners, upstream and downstream technical counterparts in support of a centralized customer data platform to support Data Analysis and Data governance tasks. You will work very closely with System of records, Business teams, Data Governance teams and Data Architects.
Must have skills : Azure Cloud , Microsoft Purview or any Data Catalog cloud platform experience, Experience working with Data Governance projects and maintaining the Data Catalog, SQL and noSQL.
Good to have : Banking Domain experience, Product Management Experience (Product Onboarding, Success Metrics, OKRs definitions, Customer Centricity), Power BI and Reporting Tools, Excellent Presentation Skills, Stakeholder Management, ETL Skills.
Responsibilities
- 10 years of Strong technical background in Data Analysis and Data Governance.
- Develops new data governance rules to ensure enterprise data is trusted, connected, accessible, and of the highest quality.
- Hands on experience with Azure Cloud, Microsoft Purview, or any Data Catalog cloud platform experience
- Identify data integrity issues and define data quality improvements and establishes metrics for critical data tracking.
- Establish data governance policies working with various business teams and data stewards and define product metrics.
- Experience working with Enterprise Metadata, Data Auditing, Data profiling and Data Analysis.
- Defining data access controls and ensuring adherence to regulatory requirements.
- Enforce data governance/standards utilizing your expertise in Data analysis to ensure data integrity and quality.
- Ability to anticipate and proactively address challenges, leveraging your technical depth in Data Analysis.
- Define key metrics to track success or prioritize features.
- Strong in Writing SQL and noSQL code.
- Knowledge of ETL processes, data migration, data conversion, and/or data integration routines and protocols.
- Comfortable working with various source system databases or files (various format).
- Collaborate closely with Engineering teams throughout the product lifecycle, from requirements definition to application architecture.
- Independently lead projects and efforts, leveraging your proactive problem-solving skills to anticipate and address challenges.
- Prior experience working in cross-functional teams within cloud computing engineering or related technical fields.
- Experience in end-to-end product delivery, with a proven track record of driving feature delivery.
- Excellent communication skills, with the ability to effectively engage with technical and non-technical stakeholders at all levels.