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Associate, Business Intelligence/Data Engineering

Apply Req ID: 2104554 Date posted 10/22/2021

The Associate, Business Intelligence/Data Engineering is responsible for data and intelligence activities across an assigned data domain(s) using a risk based, standard business process approach.

  • Adheres to corporate risk management objectives.
  • Supports with the development of data marts/pipelines and process improvement plans.
  • Analyzes and documents functional processes and controls ensuring gaps and deficiencies are inventoried.
  • Collaborates and coordinates with reporting and data scientists to ensure data needs are met.
  • Collaborates with technology to improve and streamline processes regarding data flow and data quality to improve data accuracy, viability and value.
  • Defines data quality requirements including business rules/controls, metrics and targets.
  • Perform various data quality tests to ensure accuracy of data
  • Identifies inefficient business processes and drives improvements to maximize efficiency.
  • Leads key data element identification with data stakeholders across assigned data domain(s) using a risk based, standard business process approach.
  • Monitors internal and external environments for development of new business processes.
  • Partners and collaborates with the business to maintain rules and standards to improve data accuracy and value.
  • Provides additional support for users through training, documentation, system access & query resolution to help them analyze, understand and utilize available BI data most effectively.

Requirements

  • Bachelor's Degree; Finance, Economics, Computer Science, Mathematics/Statistics, Management Information Systems, or other equivalent field.
  • Master's Degree; Finance, Economics, Computer Science, Mathematics/Statistics, Management Information Systems, or other equivalent field.,or equivalent work experience
  • 5-9 years' experience
  • Excellent coding skills (SQL, Python, R)
  • Strong knowledge of Data Warehousing concepts
  • Strong Knowledge of SQL Server, SSIS (Hadoop a plus)
  • Ability to adapt to rapidly changing business environment.
  • Ability to communicate at all levels with clarity, poise, maturity and precision both written and verbal.
  • Ability to interact with all levels of employees, including senior level management.
  • Ability to leverage technology to improve and automate business tasks.
  • Ability to maintain and report on confidential information in an appropriate manner.
  • Ability to multi-task and adhere to deadlines.
  • 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.
  • Demonstrated data analysis, data presentation, and data development skills.
  • Strong attention to details and can analyze information quickly.
  • Strong problem solving and analytical skills.
  • Strong project management skills.

At Santander, we value and respect differences in our workforce and strive to increase the diversity of our teams. We encourage everyone to apply.


Primary Location: Boston, Massachusetts, United States


Other Locations: Massachusetts-Boston


Organization: Santander Bank, N.A.

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