Data Solutions & Enablement Associate

Overview

Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what’s possible. This is more than a strategic shift. It’s a chance for driven professionals to grow, learn, and make a real difference.

If you are interested in exploring the possibilities We Want to Talk to You!

We are looking for a Data Solutions & Enablement Associate professional to join our team and help unlock the power of data to drive smarter decisions. In this role, you will build and enhance data solutions for analysis and reporting, measure the impact of business tests, and design automation that streamlines processes. Your work will directly support better insights, faster decision-making, and improved efficiency across the organization.

This is an opportunity to make a meaningful impact by enabling smarter, data-driven decisions. You’ll work with a collaborative team that values innovation, continuous learning, and efficiency. If you enjoy turning data into actionable insights and solutions, we’d love to have you on board.

• Develop and maintain data pipelines, reports, and dashboards to support business analysis.
• Design and manage champion/challenger testing to evaluate strategies and optimize performance.
• Automate recurring data processes to improve speed, accuracy, and efficiency.
• Partner with business teams to translate questions into clear analytical approaches.
• Ensure data accuracy, integrity, and accessibility for reporting and decision-making.
• Monitor and track the performance of implemented solutions, identifying opportunities for improvements.

• Bachelor's Degree or equivalent work experience:
  Computer Science, Management Information Systems or equivalent field.
  
  - Required.
• 6+ years of experience in data analytics, business intelligence, or a related field.
  
  - Required
• Proficiency in SQL and experience working with relational databases.
• Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Strong analytical skills and ability to design and interpret A/B or champion/challenger tests.
• Experience with process automation tools or scripting (e.g., Python, R, Alteryx).
• Clear communication skills to explain technical findings to non-technical stakeholders.

• No Certifications listed for this job.

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
• Experience in Microsoft Office products.
• Familiarity with cloud data platforms (e.g., Snowflake, Big Query, AWS).
• Experience in financial services, marketing analytics, or operations optimization.
• Background in statistical modeling or machine learning.

The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location.

Base Pay Range: Minimum: $78,750.00 USD;
Maximum: $ USD

Your contribution matters and it’s recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future.

We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion,…