Client Quantitative Senior Analyst

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

The Prepaid Card Data Analytics and Reporting team is seeking an experienced data automation professional to join the team. In this role, the Analyst will be expected to:

• Automate data processes that support reporting and analytics with the Prepaid Card product

• Partner with Product, Strategies, Regulatory, Legal, Vendors (Visa) and Fraud & Claims Operations management. The team supports all aspects of Data, Analytics and Reporting for this product.

• Be versatile and highly motivated to support a variety of business needs that require the ability to synthesize insights from various data sources.

• Enable the integration of new and emerging sources of data enabled through technology and leverage these sources to better support line-of-business objectives.

• Extract, transform and load data from multiple sources into multiple data platforms

• Guide partners to define business questions, develop approaches and execute approaches to solving the business need.

This role requires hands-on in data gathering leading to recommendations based on the findings. This will include:

• Identifying innovative uses of customer data to target high-value business opportunities and drive improved performance.

• Levering data from multiple sources (structured and unstructured) with various levels of data quality to support meaningful analyses for business questions.

• Interacting with business partners and vendors to execute on data and analytical deliverables

• Translate business questions into projects with clear objectives, create and maintain work tracking documentation.

• Present insights, implications and actionable recommendations to stakeholders and analytics leaders.

Required Qualifications:

• Bachelor's degree preferably in quantitative or qualitative discipline - or related work experience

• 8+ years of analytics experience with ability to use SQL, SAS, SSMS, and Alteryx to find and deliver data from various databases and platforms.

• Excellent statistical, analytical, and problem-solving skills with the ability to translate data into meaningful insight.

• Comfortable and effective in tackling unstructured data challenges.

• Ability to build key relationships and influence thinking of internal stakeholders.

• Project management experience with ability to adapt to changing priorities and to manage multiple projects simultaneously.

• Strong networking and influencing skills, able to work collaboratively across teams without formal management responsibility.

• Strong written and verbal communication skills with technical, non-technical and executive roles.

• Experience working in Hadoop, Teradata, SSMS, SAS EG, Autosys, and Unix.

• 3+ years of Tableau report development experience preferred.

• Proficiency in MS Excel and PowerPoint.

Desired Qualifications:

• Financial services experience.

• Advanced degree in business or statistics.

• Demonstrate an ownership mindset who takes ownership by embracing challenges to seeing them through.

Shift:

1st shift (United States of America)

Hours Per Week:

40