Cons Prod Strat Analyst II
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!
Job Description:
This job is responsible for performing 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 databases to provide analytical support on strategies and ensure goals are met. Job expectations include evaluating data to assess potential fraud risk and create mitigation strategies.
A successful candidate will have a data-driven mindset, strong attention to detail, a variety of analytical and technical skills. Associates on this team routinely solve a variety of business problems and are encouraged to think strategically and independently to seize opportunities to leverage data to improve business capabilities. The ideal candidate will be able to synthesize both technical and business expertise to develop data products, such as derived tables, Alteryx workflows, or Tableau reports, that enable business leaders to more effectively accomplish business objectives and to streamline operational processes.
Responsibilities:
- Analyzes and interprets large sets of raw data to recommend ways to help the business achieve desired outcomes and make informed business decisions.
- Defines, gathers, analyzes, and interprets data using applications and technologies to forecast future trends and communicates to leaders and partners the statistical analysis results and predictions.
- Coordinates the production of product performance reports and updates for senior management.
Line of Business Responsibilities: The Data Strategy, Reporting & Analytics team relies on a variety of systems/platforms to gather, improve, and leverage the data necessary to build our end-products. The candidate is expected to be familiar with various database technologies, including Hadoop, SQL, and Oracle, and a variety of ETL tools, such as Alteryx, SQL, and Python. Depending on the candidate’s skill level, they may be expected to:
- Interface with business leaders and translate business requirements into technical specifications.
- Analyze disparate data sources, including relational structures, dimensional data models, and cubes.
- Develop and maintain database objects and ETL to support data preparation for BI reports, dashboards, scorecards, and Self-Serve analytic capabilities.
- Drive consolidation and improvement within existing reporting solutions to provide more effective data-driven solutions.
- Recommends ways to help the business achieve desired outcomes and make informed business decisions using data analysis outputs.
Qualifications:
- Minimum of 2 or more years strategic analysis required.
- Ability to manage varied set of priorities, both planned and ad-hoc, and adapt within a dynamic and fast-paced environment. High level of multi-tasking with focus and oversight on requests across the team.
- Innovative mindset with the ability to challenge the status quo.
- Talent for combining business acumen with analytical skills, interpret large amounts of data, synthesize multiple analysis into a coherent message, and translate into actionable insights.
- Ability to proactively identify, analyze, and improve upon existing processes for optimization and to meet deadlines.
- Knowledge about various architectures and protocols, non-relational repositories, data virtualization, cloud enablement, etc.
- Expertise in at least two of the following: SQL, Alteryx, VBA/Excel, Python.
Skills:
- Business Intelligence
- Data and Trend Analysis
- Business Analytics
- Data Quality Management
- Data Visualization
- Problem Solving
- Written Communications
- Analytical Thinking
- Collaboration
- Critical Thinking
- Innovative Thinking
- Oral Communications
Shift: 1st shift (United States of America)
Hours Per Week: 40
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