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!
This position is not eligible for sponsorship.
Job Description:
This job is responsible for performing more complex analysis and modeling to minimize loss exposure and negative impacts to the customer experience. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
Additional areas of focus include performance summaries of various key performance indicators and metrics over time and against forecast, the assessment and development of tools to automate and streamline the processes and make them more effective, uncover actionable business insights to drive responses to call center performance trends, control planning to ensure consistency and performance excellence across the forecasting continuum, and engagement across the Resource Planning Team for process integration.
Responsibilities:
The Analytics and Model Development team relies on a variety of systems / platforms including, but not limited to, Excel, SQL, Tableau, Alteryx, PowerBI, and SAS. The candidate will work across both Analytics and Data Management spectrums to source resource planning and call performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis. The candidate will leverage ETL tools to automate existing processes and drive operational excellence initiatives. The candidate will connect to existing SQL Server, Oracle, Teradata, and Hadoop databases to query reporting data for key business stakeholders.
Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs
Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance
Leads coordination of the production of product performance reports and updates for senior management
Identify process improvements and efficiencies via data analysis
Attend weekly Agile standup meetings and provide status updates as needed
Participate in collaborative reporting and design sessions with organizational stakeholders and business owners to design, build, and deliver reports and dashboards to meet business goals
Collaborate with other developers to create / maintain scalable processes and best practices
Manage multiple projects, shifting priorities as needed to produce accurate work while meeting established deadlines
Validate the integrity and quality of data required for performing analysis
Partner with Workforce Optimization, Scheduling, and Strategic teams to deliver data insights and analysis that inform critical decisions and help achieve goals.
Other duties as assigned
Required Qualifications:
3+ years of SQL Coding experience
3+ years of Tableau, PowerBI, or MicroStrategy experience
Experience with SSMS, Oracle, Hadoop, Teradata
Advanced Excel proficiency
Strong written and oral communication skills with broad business acumen
Ability to manage multiple projects in a complex and rapidly-changing environment
Excellent time management skills
Ability to work independently as well as part of a team
Strong analytical and problem-solving skills to effectively communicate with technical and non-technical audiences and quickly elevate any risks or challenges.
Positive Attitude and willingness to learn
Desired Qualifications:
Experience with Alteryx and/or usage of more advanced analytical, visualization and data extraction tools
Advanced analytical and quantitative skills with demonstrated ability in using data and metrics to identify root causes
Familiar with SDLC and Project management concepts and tools, such as Agile and Jira
2+ years of SAS EG / SAS Studio, R, or Python experience
Bachelor’s degree, ideally in a quantitative discipline such as mathematics, statistics, economics, business, engineering, finance, or operations research
Skills:
Business Analytics
Business Intelligence
Data Quality Management
Fraud Management
Monitoring, Surveillance, and Testing
Collaboration
Data Visualization
Oral Communications
Problem Solving
Written Communications
Analytical Thinking
Critical Thinking
Data and Trend Analysis
Innovative Thinking
Research
Shift:1st shift (United States of America)
Hours Per Week: 40
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