Associate, Data Analyst

Banco Santander Brazil-posted 3 months ago
$71,250 - $120,000/Yr
Full-time • Entry Level
Dallas, TX
5,001-10,000 employees
Credit Intermediation and Related Activities
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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).

  • 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).
  • 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.
  • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.
  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • tuition_reimbursement
  • paid_holidays
  • paid_volunteer_time
  • flexible_scheduling
  • professional_development
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