• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• Corp-Corp

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Aug 2022

Strong understanding of Investment Data and Investment Management industry

Deep knowledge of data governance tools and best practices

Minimum of 10 years’ experience as Data Analyst

Knowledge of Data Governance & Data Quality

Proven hands-on experience in project management

SQL skills with any database and Snowflake

Excellent communication skills including the ability to communicate effectively in both formal and informal contexts in a fashion tailored for the audience

Ability to deliver under stress in a fast-paced environment

Strong process analysis and problem-solving skills

Experience implementing a successful data onboarding program

Familiar with agile process and JIRA

The person who secures this role will:

Define data policies and controls for new data requirements

Collaborate with other teams to implement data governance policies in data ingestion and operational processes

Provide Data Ownership for certain standard data sets such as Morningstar, Index providers

Clear understanding of the role of Data Consumers and the legal and regulatory matters affecting their data sets.

Manage data sets by defining rules that implement and monitor controls and are accountable for supporting the data issue remediation and responding to data quality issues raised against their data

Identify and promote usage of systems that provide trusted, consistent, and accurate data

Provide thought leadership and participate in projects that involve data life cycles and processes

Assess the current processes and technology in use to make recommendations for effective and practical data governance process

Identify and document data quality problems through data profiling and advanced analysis

Provide support for data issues by adopting firm level application Data Issue Management.

Document, assess, influence, and synthesize business requirements to develop, enable, and advance data platform and stewardship capabilities

Translate complex business requirements into focused technical requirements and data solutions