Job Title:                   Data & Data Governance Analyst- USA

Industry:                    Banking

Location:                     New York, USA

FLSA Status:              Exempt

Job Purpose

Data & Data Governance reports to Chief Data and Analytics Officer. Leading Data Governance, Data quality and Data Lineage function. This role provides support to core data analyst function.

Responsibilities

Data Analysis

Performs complex analyses. Conducts and facilitates issues identification based on in-depth analysis on various data sets to determine Route cause analysis and work with appropriate parties to remediate data issues. Analyze raw data a across source systems and turn it into actionable insights and support business decision-making. Provide ad-hoc analytics support. Utilize statistical and analytical tools to identify trends, patterns, and anomalies in the data, automate testing procedures and find opportunities to eliminate manual data exchanges. Develops and manages data mapping, transformation rules and lineage.

Data Governance

Perform data profiling of source data to assess quality and Identify opportunities to improve data quality at the source. Work with business data owners to create Business Glossary Work with business data owners to identify CDE and governing data quality rules. Document technical and business metadata. Help with implementing Data Governance procedures based on governing policies.

Data Quality Management

Assess and improve data quality by identifying and addressing data discrepancies, inconsistencies, and inaccuracies. Design and Implement data quality checks and validation processes to maintain high standards of data accuracy. Develop data scorecards and Data quality metrics to assess, improve and monitor data quality of bank data.

Collaborate with cross-functional team.

Own data delivery projects under guidance of CDAO Work with business stakeholders to understand business requirements and translate those requirements into data and technical specifications. Work with IT and data engineering to facilitate solution and make sure the solution meet requirements. Lead System Testing and be responsible to coordinate and lead User Acceptance Testing.

Documentation

Document data processes, data lineage, and metadata to ensure transparency and facilitate knowledge transfer within the organization. Create and maintain artifacts for assigned data projects. Document company data assets and contribute to data modeling. Works closely with CDAO and engineering teams to develop strategic centralized data platform architecture.

Reporting

Help with existing reporting systems. Contribute to design and development of centralized Reporting Analytics capabilities.

SKILLS:

Technical Data Skills

Expert level SQL skills Experienced with ETL, data mapping and transformation rules. Intermediate skills with Python and R and willingness to advance. Knowledge and understanding of data modeling, different data modeling technics, and data warehousing. Experience with Oracle, SQL Server, or similar RDBMS platform. Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Familiarity with data visualization tools such as PowerBI, Tableau, or similar platforms is desirable but not mandatory.

Data Governance Knowledge Skills

Understanding of data governance frameworks, policies, data cataloging, CDE, metadata and data quality Ability to implement and enforce data governance standards. Experience with any Data Governance tool – such as Collibra, Alation, Informatica Axon DG, or Apache Atlas.

Communication Skills

Excellent communication skills to convey complex data findings to both technical and non-technical stakeholders. Ability to collaborate effectively with team members and stakeholders.

Qualifications

Bachelor’s degree in computer science, Data Science, or data engineering 3-5 years of experience as a Data Analyst with exposure to data governance practices. Previous work experience in the banking or finance industry is highly desirable. Strong analytical and problem-solving skills with the ability to translate data into actionable insights. Meticulous attention to detail to ensure data accuracy and quality. Curios and open to learning advanced data tools and technologies. Passionate about data