Data Analyst

About Ascendion

Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what’s next.

Learn more at  https://ascendion.com/.

Engineering to the Power of AI™, AAVA™, Engineering ^AI , Engineering to Elevate Life™, Enterprise Platforms ^AI , Data & Insights ^AI , Experience ^AI , GCC ^AI , Operations ^AI , Platform Engineering ^AI , Product ^AI , and Quality Engineering ^AI are trademarks or service marks of Ascendion ^® . AAVA™ is pending registration. Unauthorized use is strictly prohibited.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role

• Job Title:  Data Analyst
• Location:  Chicago, IL

 Key Responsibilities

• Production Migration: Migrate existing SQL/Python processes from Snowflake User Spaces to the Enterprise Production Space.
• Data Product Integration: Transition legacy data workflows to adopt new Data Products, ensuring logic consistency and data integrity.
• Logic Validation: Translate and optimize analytical business logic during the migration process to ensure outputs remain accurate in the new architecture.

 Minimum Qualifications

• SQL: Expert-level proficiency in Snowflake SQL.
• Python: Proficient in using Python for data manipulation and process automation.
• Experience: Must have prior experience in a Data Analyst (DA) role specifically within the Banking ecosystem (Retail Bank experience preferred). We are looking for candidates focused on the consumption and application of data rather than foundational Data Engineering (DE) pipeline construction.

 Desired Qualifications

• Experience with data migration and integration projects.
• Strong analytical and problem-solving skills.
• Ability to work independently and in a team environment.

 Location

• Chicago, IL

Salary and Other Compensation: The annual [salary/hourly rate] for this position is between [$65,000 - 71,000 annually].  Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements:?[medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year] [Ascendion Learning Management System] [Tuition Reimbursement Program] 

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!