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Let's begin! Data Quality Analyst-Hybrid role in Charlotte (5612)

Remote: 
Hybrid
Contract: 
Salary: 
87 - 126K yearly
Experience: 
Mid-level (2-5 years)
Work from: 
Charlotte (US)

Offer summary

Qualifications:

BA/BS degree in relevant field, 1+ year experience in data management, 1-3 years Business/System/Data Analyst experience, Experience with Data Governance tools, Proficiency in MS Excel and SQL.

Key responsabilities:

  • Perform data lifecycle analysis and document requirements
  • Improve data taxonomies and attributes for digital solutions
  • Support data migration and develop data structure plans
  • Collaborate with teams to enhance data processes
  • Monitor data quality metrics and suggest improvements
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Moody's Corporation Financial Services Large https://www.moodys.com/
10001 Employees
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Job description

 

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. 

Roles/Responsibilities: 

Our Global Ratings Operations & Controls (ROC) team is seeking a Data Quality Analyst to assist in data improvement initiatives across the organization. They will work closely with cross-functional teams that adopt Agile operating methods. They will support the creation of data lineage flows, participate in designing data taxonomies, help define data elements and data concepts for end-users, support data migration into a modern, cloud-based data infrastructure. They will assist in multi-year initiatives that transform processes to enable digitalization and adoption of generative AI technologies. These initiatives include the full range of workflows, ratings and research, ESG and other activities.  The role will serve as a key contact person between the various business functions and technical teams. A successful candidate will have a diverse skillset, be proactive, and have strong analytical and technical skills.


Key responsibilities for this role include but are not limited to the following:
•    Perform data lifecycle analysis including data profiling, requirements gathering and documenting, data mappings, process and data design flows, data quality controls input, and testing assistance
•    Investigate, analyze and continuously improve data taxonomies and data attributes for key workflow data sets to support digital solutions
•    Assist in developing an initial set of harmonized data requirements contributing to efficiency and quality enhancements
•    Participate in the definition of data concepts, common reference data and establish sound data usage practices with relevant partners
•    Partner with technology, data, and process teams to develop next generation data structure plan including creating databases, supporting data migration activities and establishing data governance practices
•    Identify and assess a new and/or third party data source for use within a business workflow
•    Support team members to engage across key MIS partners to determine the data required to deliver the target state service solution, and map the end-to-end data lineage
•    Cleanse, validate and migrate data elements from legacy databases to modern data infrastructure
•    Assist in designing and monitoring key performance indicators related to key data processes and data quality, and monitor and report on observed process performance including to suggest data improvements
•    Contribute to a rigorous and consistent framework to govern data changes and align this approach with partner teams
•    Challenge the status quo and provide an innovative way of thinking for out-of-the-box data solutions, data performance metrics and new or third-party data sources
•    Collaborate with our learning and process teams to develop data training, communication plans and roll-out plans for key data and technology changes
•    Establish and maintain a strong understanding of Moody’s business processes and data needs of the assigned business project and/or MIS Strategic objective
•    Support the team in the collection of data metrics (quality, operational, governance) and enablement of data controls and best practices. 
•    Define, document, and manage business and data requirements documentation
•    Develop and update supporting content and training materials (e.g., FAQs, presentations, training, SOP, etc.).
•    Collaborate with key stakeholder cross-vertically and globally to support MIS’ strategy and activities
•    Identify inefficiencies in business processes and recommend improvements. Track improvements and monitor effectiveness.

Qualifications:
•    Undergraduate BA/BS degree in Business, Finance, Technology, Engineering or related field is required.
•    1+ year of demonstrable experience in data management and data transformation roles
•    1-3 years of Business/System/Data Analyst experience (requirements, data mappings, process flows, conceptual data modeling, etc.)
•    Experience working with customers and/or users to understand data requirements and use cases
•    Experience using Master Data Management and Data Governance tools such as DBeaver, pgAdmin, Access, Collibra
•    A great team member with an ability to adapt to change quickly and balance multiple priorities is crucial.
•    Knowledge of database structures, data lineage mapping, data governance reporting
•    The candidate should be highly organized and efficient, with a strong attention to detail and excellent communication skills ((both verbal and written), including the ability to translate technical concepts to business concepts and vice versa
•    Experience working with unstructured data
•    Experience with SQL a must, experience with Data Profiling, ETL and Data Reporting tools a plus
•    Understanding of Agile methodologies
•    Strong interpersonal skills are required, with the ability to reach across the organization to acquire information. 
•    Proficient in MS Excel (VBA, macros, VLOOKUP’s, etc.), Word, and PowerPoint is required.
•    Proficient communication skills to simplify complex themes
•    Knowledge of Moody’s rating systems, analysis tools, and operational processes is a plus.

For US-based roles only: the anticipated hiring base salary range for this position is [[$86,500]] -  [[$125,500]], depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Financial Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Social Skills
  • Data Reporting
  • Teamwork
  • Problem Solving
  • Microsoft Excel
  • Detail Oriented
  • Verbal Communication Skills
  • Analytical Skills
  • Technical Acumen
  • Organizational Skills

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