Santander

Data Analyst, Cloud, Snowflake

Santander

full-time

Posted on:

Location Type: Office

Location: Dallas • 🇺🇸 United States

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Salary

💰 $71,250 - $120,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud PlatformMySQLOraclePostgresPythonSQLTableau

About the role

  • Serve as a data analyst for multiple application initiatives.
  • Leverage data to support strategic initiatives and streamline operations.
  • Ensure regulatory compliance in data handling.
  • Develop complex SQL queries to analyze and extract insights from large-scale datasets.
  • Create intuitive dashboards and reporting solutions using BI tools.
  • Apply machine learning techniques for use cases such as fraud detection.
  • Design and implement automated workflows and data pipelines.
  • Collaborate with engineering, risk, compliance, and business units.
  • Ensure data governance, integrity, and compliance standards are met.

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.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development
  • Bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLmachine learningdata analysisdata pipelinesautomation frameworksPythonRdata governancereporting solutionscomplex SQL queries
Soft skills
collaborationstrategic thinkingproblem-solvingcommunicationorganizational skills