Client Quantitative 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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline. Key responsibilities include leveraging databases to acquire client and performance data, transforming extracted data into meaningful insights and trends, and delivering those insights to leaders to make complex business decisions. Job expectations include working with business partners to understand, coordinate, and deliver agreed upon priorities while communicating complex data outputs and delivering the appropriate summary and data required.

Delivers the analytical work efforts on a project by project basis at the direction of a manager or team lead; usually with defined scope within a specific line of business or business discipline (card, call center, digital, etc.). Delivers individually or with the help of peers and others insightful data to be used in driving complex business decisions or processes. Communicates with managers to understand business problems to be analyzed and deliver the appropriate summary and data required. Ability to use data tools and techniques to find and deliver data from various sources of record. Bachelors Degree in finance, math/statistics, or computer science.

Responsibilities:

• Supports the extraction of data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge to transform data into meaningful values and insights
• Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors, based on questions provided by business partners, and provides actionable insights for business partners to make informed decisions.
• Follows requirements developed by other analysts and supervisors to perform required research, analytics, and exploration on appropriate and accurate data sources to provide appropriate deliverables
• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners using software such as Power Point, Word, Excel, and Tableau
• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity

Skills:

• Business Analytics
• Data Mining
• Data and Trend Analysis
• Analytical Thinking
• Business Intelligence
• Data Quality Management
• Data Visualization
• Application Development
• Business Acumen
• Continuous Improvement
• Innovative Thinking
• Quality Assurance

Required Skills:

• 4+ years of data prep experience using coding, such as MS SQL, Teradata SQL, Oracle SQL, Impala or Hive.
• Designs, develops, and maintains automated data Extract, Transform, and Load (ETL) processes from various database platforms, storing data in ‘Fit for Use’ relational tables.
• Designs and builds relational data models to support the development of actionable reports, dashboards, and scorecards.
• Ensure accuracy of information; perform validation, quality assurance and timely resolution.
• Works collaboratively in a cross-functional team, learns from colleagues, and provides routine updates on calls related to projects.
• Strong attention to detail, problem solving, strategic thinking, and analytical skills.

Desired Skills:

• Strong written, verbal, and presentation communication skills.
• Deep understanding on automation; Autosys, Alteryx, etc.
• Strong problem solving, conceptual thinking, attention to detail, and sense of urgency.
• Ability to manage through ambiguity and agile to process change.
• Self-starting, organized, proactive, and requiring minimal management oversight.
• Time management, analytical and organizational skills.
• Working knowledge of software version control systems such as BIT/GIT Bucket
• Experience with BI platforms, i.e. Tableau, MicroStrategy, Alteryx, etc.

Shift:

Hours Per Week: