Data Analyst

Job Title : Data Analyst, Cloud & Snowflake

Location : Dallas, Texas

Job Type : Full Time

Job Summary:

Our client, a leading organization in the financial services industry, is seeking a skilled Data Analyst to support critical application and data initiatives. This role plays a key part in leveraging data to drive strategic decisions, enhance operational efficiency, and ensure compliance within a highly regulated environment. The ideal candidate brings strong analytical capability, advanced SQL proficiency, experience with cloud platforms, and knowledge of automation and machine learning techniques.

Key Responsibilities

• Build and optimize complex SQL queries to extract and analyze large datasets across cloud and on-premise environments.
• Develop insightful dashboards and reporting tools using modern BI platforms connected to cloud data ecosystems.
• Apply machine learning techniques to support use cases such as fraud prevention, customer segmentation, and credit-related modeling.
• Design and automate data workflows and pipelines, incorporating orchestration tools and cloud-native technologies.
• Collaborate with engineering, risk, compliance, and business teams to deliver high-impact, data-driven solutions.
• Maintain strong data governance, ensuring data integrity, quality, and alignment with regulatory expectations.
• Investigate and resolve data quality issues to support accurate reporting and decision-making.
• Support the security, performance, and compliance of applications operating within a banking environment.
• Utilize data management platforms effectively; experience with Informatica is a plus.

What You Bring

• Bachelor’s degree or equivalent experience in Finance, Economics, MIS, Statistics, or another quantitative field.
• 5 years of relevant experience in data analysis or similar roles.
• Advanced proficiency in SQL and working knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
• Experience with automation tools such as Power Automate or scripting in Python.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), including services like Lambda, S3, Azure Functions, or BigQuery.
• Ability to build governance and performance dashboards using Power BI or Tableau.
• Strong programming skills in Python or R for analytics and model development.
• Domain experience in banking, including areas such as regulatory reporting, risk analytics, or operational processes.
• Familiarity with cloud-native data platforms such as Snowflake or Databricks.