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