Data Quality Lead Analyst

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.
- 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.
- 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 underst