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The Data Quality Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Job Responsibility:
Devises methods for identifying data patterns and trends in available data sources
Defines strategies to drive data quality measurement, produce data quality dashboards and reports, and implement data quality strategies to effectively govern data and improve data quality
Works with data quality partners and Technology teams to identify and implement data quality tools
Identify critical data elements, data quality rules, thresholds, and other business requirements
Mentors junior analysts
Applies in-depth understanding and knowledge of how business integrates within the sub function
Contributes to the development of new techniques and processes and for the aligned business
Integrates subject matter and industry expertise within a defined area
Responsible for own work to support business teams in assigned area
Build data quality assessments and measurement of critical data utilized by Citi strategic systems and processes
Responsible for the reviewing, analyzing and dispositioning of the results of those measurements
Accountable for understanding and documenting systems, data flows and data quality rules
Analyze data quality issues
Interact with business and technical staff who support the Global Functions
Secure approvals from Data Governance Officers on scorecard requirements and use
Requirements:
5-8 years software experience preferred
High proficiency in MS Excel, Python, SQL for Data analysis
Ability to create BI tools such as Qlikview and/or Tableau views for analysis
Problem Solving - Evaluates moderately complex and variable issues with substantial potential impact
Good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources
Outstanding written and oral communication, influencing and presentation skills
A self-starter with ability to independently manage work and drive multiple deliverables concurrently
Strong subject matter expertise regarding technology application control disciplines and technology infrastructure knowledge
Demonstrated capability and maturity to work in an individual capacity
Demonstrates experience in managing teams and managing integrated internal audit and assurance delivery
Able to set priorities and discuss experience in adapting to emergent or dynamic requirements
Quick learner, customer focused with ability to multi-task and work in a fast paced changing environment
Forward looking with ability to mitigate and overcome challenging roadblocks
Ability to work well under pressure and manage to tight deadlines
5+ years of Information Technology (IT)-related experience and expert level knowledge with current hands-on experience
Comfortable working with large data volumes and firm understanding of logical data structures and analysis techniques
Strong data analysis skills, excellent analytical and problem-solving skills
Expertise in identifying and resolving data quality issues
Proficient knowledge of data sourcing from NoSQL (Cassandra, Hadoop Database HBase, Mongo)
Demonstrated deep understanding of SQL syntax using various database engines (SQL Server, Oracle, Netezza, Terradata)
Proficient in Python or such scripting language and able to develop scripts to produce data analytics
Proficient in the creation of data flow diagrams and documentation for data integration processes
Familiar with the financial services industry and/or regulatory environments
Experience in Data Governance - Data Quality, Data Lineage, Data Tracing
Organized and prepared to manage multiple parallel pieces of work
Prior experience working with remote teams
Demonstrated Project management and leadership skills
Consistently demonstrates clear and concise written and verbal communication
Ability to work as part of team and independently
Ability to switch gears into different modes as analyst and able to think quick solutions using available tools
Ability to manage and prioritize multiple assignments, and competing priorities
Ability to understand the long-term and short-term perspectives of situations
Interpersonal skills to interact with team members and clients
Bachelor's/University degree or equivalent experience
Nice to have:
Experience in Data Governance - Data Quality, Data Lineage, Data Tracing
Familiar with the financial services industry and/or regulatory environments
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