Quantitative Analyst- Consumer Credit Card Analytics

Job Description Job Opportunity: Quantitative Analyst - Consumer Credit Card Analytics Location: LOCAL/W2 CANDIDATES ONLY CHARLOTTE, NC Pay: $53.83 hr.

Are you passionate about using data to drive impactful business decisions?

Do you thrive in a fast-paced, data-driven environment?

If so, we have an exciting opportunity for you!

As a Quantitative Analyst in our Consumer Credit Card Analytics team, you will play a crucial role in shaping marketing strategies and customer engagement by leveraging advanced analytics techniques.

Your expertise in SAS, Python, and data analysis will be pivotal in delivering actionable insights that directly impact our marketing efforts and customer acquisition strategies.

Key Responsibilities: Data Analysis & Insights: Utilize your skills in SAS Enterprise Guide and Teradata to conduct ad-hoc analytics, extracting data and providing actionable insights to various business teams.

Help shape business decisions with your data-driven approach!

Process Automation & Optimization: Build and optimize SAS macros, streamlining repetitive data analysis tasks, and improving team efficiency.

Ensure consistent, accurate results across various marketing projects.

Advanced Statistical Techniques: Employ SAS procedures such as PROC SQL, PROC REG, and PROC MEANS to analyze large datasets, identify key trends, and help refine marketing strategies based on your insights.

Forecasting Campaign Success: Use Python to create linear regression models that forecast response rates for card mailing campaigns.

Your forecasting models will empower the marketing team to evaluate campaign success and plan effective future initiatives.

Customer Segmentation Analysis: Develop custom SAS programs to analyze customer segmentation, improving marketing targeting strategies and optimizing campaign effectiveness.

Your work will directly enhance the personalization of marketing efforts.

What You Bring: Expertise in SAS (Enterprise Guide, PROC SQL, PROC REG, PROC MEANS) and Python for data analysis and model development from banking.

Strong experience with Teradata and the ability to extract and query large datasets.

A solid understanding of marketing analytics and customer acquisition strategies.

A passion for process optimization and automating data analysis tasks.

An ability to communicate complex data insights clearly to both technical and non-technical teams.

Why Join Us?

Work in a dynamic and fast-paced environment where your data-driven insights will directly impact key marketing initiatives.

Collaborate with a highly skilled team of analysts and marketing professionals, pushing the envelope on innovative strategies.

If you're ready to take on a challenging role that combines data analysis, marketing strategy, and customer insights, we want to hear from you!

If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.AppleOne participates in the E-Verify program in certain locations as required by law.

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also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records.

For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.#8824 Company Description This company offers growth and a great group of people to work with.