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, Financial Services.

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

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Role Overview

Our confidential client in Financial Services is hiring a Sr. Data Analyst to design, build, and maintain data solutions that drive business insight. You will blend analytic thinking, scripting, and data-engineering-minded best practices to enable self-service analytics, support data governance, and deliver dashboards and models that inform strategy across the business.

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What You’ll Do

• Use Python, R, Spark and SQL to explore, transform, and analyze large, multi-format datasets.
• Build well-managed data solutions and tooling that enable repeatable, self-service analytics.
• Design and deliver dashboards, metrics and visualizations to translate business needs into clear insights.
• Apply data quality principles (metadata, lineage, business definitions) and implement monitoring for data reliability.
• Collaborate with engineering and security teams to implement data access governance and secure data practices.
• Rapidly evaluate and incorporate new open-source and cloud tools to accelerate initiatives.

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Basic Qualifications

• Bachelor’s degree (or in-progress) in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or related) plus at least 2 years of data analytics experience — OR a Master’s degree (or in-progress) with expectation to complete prior to start.
• At least 1 year of experience with one scripting language (Python, R, Spark or SQL).
• At least 1 year using a business intelligence / visualization tool (e.g., Tableau, Power BI).
• At least 1 year querying and analyzing data (data warehouses/SQL, unstructured data, or equivalent platforms).

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Preferred Qualifications

• Master’s degree in a STEM discipline.
• 2+ years coding in Python, R, Spark, or SQL.
• Experience with Snowflake services and developing inside cloud data platforms.
• Familiarity with AWS services for analytics.
• Experience with data governance and data quality tools (e.g., Informatica DQ) and process improvement methodologies (Agile, Lean, Six Sigma).
• Proven ability to translate complex data into actionable business insights and build self-service tooling.

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Compensation & Benefits

• Salary range for Chicago, IL: $101,100 - $115,400 (annual) for this role.
• This role may also be eligible for performance-based incentive compensation (cash bonus and/or long-term incentives) per the client’s programs.
• Our confidential client offers comprehensive health, financial and other benefits; specific eligibility and details will be provided during hiring.

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Location & Work Authorization

• Work location: Chicago, IL (role tied to this location).
• Our confidential client may consider sponsorship for qualified candidates requiring employment authorization in the U.S.
• Reasonable accommodations are available for applicants with disabilities during the recruitment process upon request.

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Additional Legal & Hiring Notes

• Background checks and other pre-employment checks may be required and will be conducted in compliance with applicable federal, state and local laws.
• The confidential client adheres to applicable laws regarding criminal history inquiries and fair hiring practices.

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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.