Associate, Data Engineer

Santander Bank•Boston, MA

49d•$80,625 - $130,000•Hybrid

About The Position

Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Data Engineer is responsible for data and intelligence activities across an assigned data domain(s) using a risk based, standard business process approach. This is a hybrid role at the State St, Boston MA location

Requirements

Bachelor's Degree or equivalent work experience: Computer Science, Management Information Systems or equivalent field. - Required.
5+ Years Relevant work experience - Required.
Ability to communicate at all levels with clarity, poise, maturity and precision both written and verbal.
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.
Ability to multi-task and adhere to deadlines.
Ability to adapt to rapidly changing business environment.
Ability to adjust to new developments/changing circumstances.
Ability to influence others.
Ability to lead and coach junior level professionals.
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.
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.

Nice To Haves

Master's Degree: Business Administration, Management Information Systems, or other equivalent field. - Preferred.
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
Experience in Microsoft Office products.

Responsibilities

Collaborates with technical support team as BI/business lead on projects, analyzing user needs, preparing enhancement requests, supporting technical development/implementation and performing user acceptance testing.
Collaborates and coordinates with business management to ensure that business and functional informational needs are met.
Profiles data within their assigned data domains to identify/prioritize areas with greatest data quality concerns.
Leads key data element identification with data stakeholders across assigned data domain(s) using a risk based, standard business process approach.
Analyzes and documents functional processes and controls ensuring gaps and deficiencies are inventoried.
Supports with the development of data and process improvement plans.
Defines data quality requirements including business rules/controls, metrics and targets.
Adheres to corporate risk management objectives.
Develops and deploys operational dashboards and reports to create significant business impact.
Consults and advises best practices for systems implementation.
Collaborates with data owners to improve and streamline processes regarding data flow and data quality to improve data accuracy, viability and value.
Provides additional support for users through training, documentation, system access, report writing guidance and query resolution to help them analyze, understand and utilize available BI data most effectively.
Partners and collaborates with the business to maintain rules and standards to improve data accuracy and value.
Identifies inefficient business processes and drives improvements to maximize efficiency.
Monitors internal and external environments for development of new business processes.