Data Analyst (CDE)

Tampa, Florida

Hybrid

Contract

$63/hr - $67/hr

Grow your career with an innovative global bank in Tampa, FL as a Data Analyst with a focus on CDE. Contract role with strong possibility of extension. Will require working a hybrid schedule 2-3 days onsite per week.

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will help to ensure data sourced and provisioned by different areas, meets all required Data Quality standards. Will assess, evaluate, and analyze data challenges and provide recommendations on their resolution. Will also collaborate with an array of teams and groups, developing subject matter expertise and knowledge of industry practices and standards. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Contract Duration: 12+ Months
Required Skills & Experience
  • Bachelor's/University degree.
  • 5+ years of experience with defining and implementing Data Quality programs.
  • Strong project management skills.
  • Proficient in using data management and analysis tools including basic Microsoft applications (Word, Excel, PowerPoint).
  • Working knowledge of Collibra and other Data Governance industry standard tools.
  • Intermediate proficiency in System Query Language (SQL) and Python.
  • Working knowledge of Tableau (report consumer, JIRA, etc.).
  • Demonstrated understanding of Database structures.
Desired Skills & Experience
  • Experience with banking or finance industry.
What You Will Be Doing
  • Register CDEs for the Consent Order project as well as the other Data Quality projects and produce data quality scorecards.
  • Partner with Enterprise Chief Data Office to contribute to the development of procedure guidelines and standards addressing Data Certification and Data Quality management.
  • Develop methods to identify data patterns and trends in available data sources, perform data quality analytics and identify data challenges.
  • Contribute to Data Quality resolution strategies and practices.
  • Assist in data improvement initiatives in compliance with the company’s Data Governance Policy.
  • Assist in the remediation of Audit and Regulatory feedback on issues and concerns.
  • Report Data Quality issues through the company’s corresponding Data/Issue management process, and/or Coordinate efforts for Data consumption demand and Data requirement from strategic data repositories.
  • Liaise with other areas of the firm to understand data challenges and solutions. Supports identification of data quality rules, thresholds, and other business requirements.
  • Perform financial reconciliation, and measure Data Quality to drive data quality resolution.
  • Define and formulate business requirements documents that contribute to resolve Data Quality issues.
  • Lead project management activities.
  • Support senior management strategic vision.


You will receive the following benefits:

  • Medical Insurance - Four medical plans to choose from for you and your family
  • Dental & Orthodontia Benefits
  • Vision Benefits
  • Health Savings Account (HSA)
  • Health and Dependent Care Flexible Spending Accounts
  • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
  • Hospital Indemnity Insurance
  • 401(k) including match with pre and post-tax options
  • Paid Sick Time Leave
  • Legal and Identity Protection Plans
  • Pre-tax Commuter Benefit
  • 529 College Saver Plan

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

Posted by: Melissa Klein

Specialization: Data Analyst