Overview
On Site
USD0 - USD0
Full Time
Contract - W2
Skills
Data
Quality
Analyst
Job Details
STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!
This is a Contract Opportunity with our company that MUST be worked on a W2 ONLY, NO visa sponsorship or C2C eligibility for this position.
Beware of scams. S3 never asks for money during its onboarding process.
Job Title Data Quality Analyst
On Site Work
Location: Charlotte, NC
Duration: 12+ Months
Job ref# 240687
Job Description:
- Consult on complex initiatives with broad impact and large-scale planning for Data Management.
- Review and analyze complex multi-faceted, larger scale or longer-term Data Management challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
- Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
- Strategically collaborate and consult with client personnel.
- Serve in a Centralized Support function providing Data Quality services, training, knowledge and expertise to a collection of Marketing and Offers oriented Data Product teams
- Quickly learn and become an internal expert on the Acceldata data quality SaaS product, and use that knowledge to train others outside of our Centralized team
- Use functional knowledge to assist in defining Data Quality requirements and translating requirements into Data Quality rule design
- Write simple (example: enumeration, null, etc.) and complex (examples: relational, recon, anomaly detection, drift) Data Quality rules against data tables residing in SQL, Mongo, Hadoop/Hive, Google Cloud Platform, and Teradata to meet the requirements of the Product team
- Conduct testing to confirm Data Quality rules meet stated requirements
- Perform analysis of data quality rules in production to identify trends and patterns that may suggest a modification in rule or rule threshold is required
- Present recommendations to the team to maximize operational efficiency, quality, and compliance
- Ensure adherence to data management or data governance regulations and policies
- Collaborate and consult with more experienced consultants and with partners in technology and other business groups
Required Qualifications:
- 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Desired Qualifications:
- Prior Experience implementing data quality rules with Acceldata (preferred) or similar DQ Rules Automation products such as Qualtrics, etc.
- Strong SQL / HiveQL skills
- Experience with Hadoop / HDFS / Hive, Mongo, Teradata, SQL, and Google Cloud Platform
- Familiarity with Hue, Dremio, or other similar data workbenches is a plus
- Experience with Cloud-first data architecture, such as Spring Cloud
- Ability to negotiate, influence, and collaborate to build successful relationships
- Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment
- Strong analytical skills with high attention to detail and accuracy
- Excellent verbal, written, and interpersonal communication skills
- Experience with Banking, Finance, Risk, Regulatory Reporting data platforms and technologies, and experience addressing data related requirements of internal stakeholder
- Experience with Marketing, marketing suppression and traits processes, credit data, and/or eligibility pre-qualification
- Broad experience with Banking applications, products, technology architecture and systems integration experience in consumer and small business banking, consumer lending, and wealth and investment management
- Highly developed interpersonal and communication skills; proven ability to engage and influence senior technology and business executives
- Excellent verbal, written, and interpersonal communication skills
- Driven, confident, organized and an accomplished problem solver
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.