Data Analyst, Cloud & Snowflake

Banco Santander•Quincy, MA

1d•$71,250 - $120,000

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 Associate, Data Analyst serves as a data analyst for multiple application initiatives. This role will be instrumental in leveraging data to support strategic initiatives, streamline operations, and ensure regulatory compliance. The ideal candidate combines deep data analysis experience with strong SQL, machine learning knowledge, automation capability, and familiarity with modern cloud platforms (e.g., AWS, Azure, GCP ).

Requirements

Bachelor's Degree or equivalent work experience: Finance, Economics, Management Information Systems, Statistics or equivalent quantitative field.
5+ Years Relevant work experience.
Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake)
Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent
Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) including services such as Lambda, S3, Azure Functions, or BigQuery
Familiar with the Power BI/Tableau for building governance dashboards
Proficient in Python or R for data analysis and model development
Domain knowledge in banking areas such as regulatory reporting, risk analytics, or operational efficiency.
Experience working with Snowflake, Databricks, or similar cloud-native data platforms.

Nice To Haves

Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Responsibilities

Develop complex SQL queries to analyze and extract insights from large-scale datasets across cloud and on-premises systems.
Create intuitive dashboards and reporting solutions using BI tools integrated with cloud data platforms.
Apply machine learning techniques to support use cases such as fraud detection, credit scoring, and customer segmentation.
Design and implement automated workflows and data pipelines, with awareness of orchestration tools and cloud-native data services.
Collaborate with engineering, risk, compliance, and business units to deliver data-driven projects.
Ensure high standards of data governance, integrity, and compliance, including working with cloud-based data lakes or warehouses.
Troubleshoot and analyze data quality issues, ensuring alignment with banking and cloud security regulations.
Ensure security, performance, and regulatory compliance of applications within a banking context.
Good knowledge of data quality & data management platforms (Informatica is a plus )