Technical Data Quality Analyst (SAS Analyst)-Norwalk, CT


Hi Associate,

 

Hope this email finds you well.

 

Kindly share the profile of your available consultant.

 

Technical Data Quality Analyst (SAS Analyst)

Location: Norwalk, CT

Duration: 6- 12 Months

 

 

Role and responsibilities:

•           Execute data quality measurement and monitoring process utilizing techniques to provide insights into the quality of GECC's credit & investment risk data.

•           Proactively develop data quality initiatives to evaluate new and existing data attributes in GECC's centralized data warehouse

•           Assist in gathering and monitoring of credit & investment risk data across GE Capital's global portfolios with a focus on consistency and accuracy.

•           Understand GE Capital's risk data infrastructure and data lineage to identify opportunities to control, simplify and improve the risk data collection & aggregation processes. Manage the monitoring and improvement of data quality through support of data stakeholders.

•           Lead platform efforts on improving data quality, implementing new requirements, identifying data gaps and exceptions and ensuring compliance with GE Capital HQ policies, procedures and data definitions.

•           Work closely with data leaders in the GECC global business units on initiatives relating to data quality and definitional consistency and ensure that sustainable process improvements are implemented

•           Support the data quality reporting and communication process including dashboards and scorecards

•           Establish and maintain strong relationships with key functional stakeholders (Risk, Finance, IT, Ops, Business Units, Data providers, Data Consumers) to initiate, prioritize, design & deliver high-visibility data quality evaluation projects.

•           Stay current on industry best practices in data governance & implement new data mining tools in GE Capital. Communicate and document statistical analyses, methods and findings in a logical and understandable manner for internal and external audiences

 

Essential Skills and competencies:

•           Knowledge of relevant data science or operations research field with strong mathematical and statistical background.

•           Strong business finance acumen, especially in Financial Services Industry

•           Demonstrated experience in high-profile, dynamic projects with multiple constituents, and involving technology development.

•           Demonstrated experience in problem solving and data issue remediation

•           Proficient in software applications such as Excel, Word, Access, Power Point, Business Objects, Spotfire, Data Flux, Adaptive, SAS, etc.

•           Experience with statistical software such as SQL, relational database design and methods for efficiently retrieving data from databases

•           Strong project management and communication skills

 

Desirable Skills and competencies:

•           Experience in agile data analytics experiments and creation/deployment of models and algorithms to analyze data.

•           Experience in operations research, statistical modeling, simulation or deep data mining in specific domains

•           Experience in data engineering, pattern recognition and learning, advanced computing, uncertainty modeling, data warehousing, high performance computing, business analytics

 

Education Qualification: Bachelor's degree in a Risk related field (Accounting, Business, Economics, Finance, Math/STAT, Operations Research, etc. with Quantitative underpinning).

 

 

 

Thanks and Regards,

Suresh Dabla

 

Business Integra Inc,

6600 Rockledge Dr, Suite # 100, Bethesda MD 20817,

Ph: 301-474-9600 Ext 101 | Fax: 301-474-9651 | EFax: 301-560-8182

Email: suresh.dabla@biitservices.com

www.businessintegra.com

--
You received this message because you are subscribed to the Google Groups "Frontier Knowledge Group" group.
To unsubscribe from this group and stop receiving emails from it, send an email to frontier-knowledge-group+unsubscribe@googlegroups.com.
To post to this group, send email to frontier-knowledge-group@googlegroups.com.
Visit this group at http://groups.google.com/group/frontier-knowledge-group.
For more options, visit https://groups.google.com/d/optout.

No comments:

Post a Comment