Job Description: - In this contingent resource assignment, you may: 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.
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.
In this role, you will: - 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, GCP, 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
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 GCP
- Familiarity with Hue, Dremio, or other similar data workbenches is a plus
- Experience with Cloud-Financial 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
EEO: "Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."