Data Quality Lead Analyst

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.

FRMT Data Services platform is a global Data Repository built on Enterprise Data Standards and anchored to the Liquidity & Collateral management and reporting for the use of Treasury, Finance and Risk; One of the main responsibility of the team is data management by working closely with Chief Data Office (including Data Stewardship Support and Remediation) along with Finance, Risk & other Technology teams ensuring financial and contractual data readiness for Liquidity, Collateral & Capital related products.

The Data Quality Lead Analyst is a seasoned professional role with following responsibilities and qualifications

Responsibilities:

• 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; as well as coordinates and contributes to the objectives of the function and overall business.
• 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 supporting Citi Global Functions and Sectors.
• Responsible for the reviewing, analyzing and dispositioning of the results of those measurements as well as providing detail and summary reporting of the same.
• Accountable for understanding and documenting systems, data flows and data quality rules driven from the profiling and assessments of critical data.
• Analyze data quality issues
• Interact with business and technical staff who support the Global Functions, ensuring the data quality scorecards are measuring fit for purpose data.
• Secure approvals from Data Governance Officers on scorecard requirements and use (i.e., tollgate documentation).
• Performs other job duties and functions as assigned.
• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. 
• Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information.

Qualifications:

• 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, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations
• Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. 
• Outstanding written and oral communication, influencing and presentation skills – must be able to present and influence across organization level and functions.
• 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, with a sound understanding of the financial services provided by Citi.
• Demonstrated capability and maturity to work in an individual capacity and must proactively seek out ways to enhance the mission and identify new data analysis needs.
• Demonstrates experience in managing teams and managing integrated internal audit and assurance delivery within a matrix reporting environment.
• 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 any challenging roadblocks. 
• Ability to work well under pressure and manage to tight deadlines or unexpected changes in expectations or requirements in a heavily matrix organization.

Must Have Skills

• 5+ years of Information Technology (IT)-related experience and expert level knowledge with current hands-on experience 
• Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques
• Strong data analysis skills, excellent analytical and problem-solving skills
• Able to demonstrate an expertise in identifying and resolving data quality issues – in data sets at rest and in flight
• Proficient knowledge of data sourcing from NoSQL (i.e. Cassandra, Hadoop Database HBase, Mongo)
• Demonstrated deep understanding of SQL syntax using various database engines (i.e. 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 in a rapidly growing, fast-paced environment
• Ability to understand the long-term ("big picture") and short-term perspectives of situations
• Interpersonal skills to interact with team members and clients

Education:

• Bachelor’s/University degree or equivalent experience

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