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Data Quality Associate 3 positions
Location: Downtown Dallas
W2 position
Job Description:
The Associate, Data Quality is responsible for working across business lines to define requirements, builds analytical data sets, performs data analysis, and delivers analytical solutions that meet the strategic initiatives and planning activities for their designated business area.
Responsibilities:
Collaborates with business units to define requirements, building analytical datasets, perform analyses, and deliver analytical solutions that meet specific business specifications.
Gathers critical information from meetings with various stakeholders to produce useful reporting working closely with department heads, technicians, and managerial staff.
Provides thoughtful analysis to enhance reporting functionality and automation of processes.
Provides guidance and direction to less experienced data analysts on data analysis and maintenance of data infrastructure.
Recommends formatting improvements to current reporting processes.
Prepares and analyzes extensive data for timely and accurate managerial reporting, internal/external audits, ad hoc requests, etc.
Verifies and confirms data integrity of internally and externally generated reports.
Creates and maintains various dashboard(s) to report on metrics and results.
Performs extensive data analysis including data profiling and data quality analysis.
Mines and analyzes data from databases to drive optimization and process improvements. Facilitates effective communications among business lines and leadership to ensure comprehensive understanding of needs, expectations, and requirements.
Collaborates with Data Analytics subject matter experts to identify valuable practices and develop strategies to implement and track.
Develops effective tools, processes, and templates to enable efficient delivery of services.
Qualifications:
5-9 years' Experience
Advanced Knowledge of data modeling, database design development, data mining, and segmentation techniques.
Advanced knowledge of statistical applications within Financial Services to interpret data requests and identify data analytics opportunities.
Advanced knowledge and experience using statistical packages for analyzing data sets (Excel, Access, SPSS).
Strong problem solving and analytical skills.
Demonstrated data analysis, data presentation, and data development skills.
Ability to multi-task and adhere to deadlines.
Ability to adapt to rapidly changing business environment.
Strong Project Management skills.
Ability to maintain and report on confidential information in an appropriate manner.
Strong attention to details and can analyze information quickly.
Ability to lead and coach junior level professionals.
Ability to interact with all levels of employees, including senior level management.
Ability to lead and coach junior level professionals.
Ability to interact with all levels of employees, including senior level management.
Ability to influence others.
Ability to adjust to new developments/changing circumstances.
Ability to leverage technology to improve and automate business tasks.
Ability to maintain and report on confidential information in an appropriate manner.
Strong Project Management skills.
Strong problem solving and analytical skills.
Strong attention to details and can analyze information quickly.
Excellent written and verbal communication skills.
