About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Professional Association (Statistics) & Technology, Information and Media.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

This posting is for a Data Analyst role supporting a confidential client in the Professional Association (Statistics) & Technology, Information and Media industry. The role focuses on large-scale data analysis using SQL and Python, working with cloud storage (AWS S3) and visualization tools to deliver actionable insights, particularly on consumer banking, credit risk, and payment processing datasets.

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What You’ll Do

• Partner with business stakeholders to translate requirements into technical data solutions.
• Process, transform, and analyze large datasets using Python/PySpark (Databricks/Jupyter).
• Write, optimize, and validate complex SQL queries for extraction and ETL tasks.
• Ingest and manage data in AWS S3 and integrate with downstream systems.
• Profile and explore data, document transformation logic, and maintain data quality checks.
• Build and maintain dashboards and reports in Power BI, Tableau, or similar tools for business users.
• Deliver insights related to consumer banking, credit risk, and payment processing to support decision-making.
• Continuously improve data processes, pipelines, and documentation.

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What We’re Looking For

• Master’s degree in Computer Science, Statistics, Data Science, or a related field.
• 5+ years of professional experience in data analytics — experience working with Tier-1 financial institutions, national banks, or global consumer banking is a strong plus.
• Expert-level SQL skills for handling large datasets.
• Proficiency in Python for data analysis, scripting, and automation; PySpark experience preferred.
• Hands-on experience with cloud-based data (AWS S3) and data ingestion patterns.
• Experience with data visualization tools: Power BI, Tableau, Looker, or QuickSight.
• Strong understanding of banking/financial services data (credit risk, payments, consumer banking).
• Experience in client-facing or consulting environments — able to translate business needs into technical solutions.
• Excellent problem-solving, communication, and collaboration skills.
• Experience with data profiling, exploratory analysis, and clear documentation of transformation logic.

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Employment Details

• Employment type: Full-time
• Seniority level: Associate
• Job function: Analyst
• Industry: Professional Association (Statistics) & Technology, Information and Media

Note: Candidates must be authorized to work in the United States. The confidential client adheres to applicable workplace laws and provides reasonable accommodations as required.

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Benefits

• Competitive salary and comprehensive benefits (medical, dental, vision).
• Retirement plan options.
• Paid time off and flexible work arrangements where applicable.
• Professional development and training opportunities.
• Inclusive culture that encourages innovation and collaboration.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.