Senior Data 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!Job Description:Responsible for performing data management, complex analysis, and modeling that maximizes profits and asset growth and minimizes credit and operating losses and other risk exposures. Provides data / IM, analytical support on various product strategies to ensure company goals are met. Coordinates the production of databases, performance reports for senior mgt. Manages the review and analysis of trends in current population distributions and recommends strategies. Directs the development of more complex databases, program models to extract data and use databases to provide statistical and financial modeling. Oversees the data design, analysis of portfolio trends, concerning credit score cutoffs, loss trends, portfolio dynamics, and bureau scoring criteria. Integrates the analysis team with other corporate units to insure alignment of analysis with business strategies and objectives. Responsible for hiring and training Risk Analysis Specialist and Risk Analysis Analyst. PhD, Master's degree, or large data experience preferred; Programming experience like SQL, SAS preferred; 7+ years experience.Skills:Business IntelligenceData VisualizationIssue ManagementProject ManagementRisk ManagementBusiness AcumenContinuous ImprovementRisk AnalyticsStakeholder ManagementTechnical DocumentationAdaptabilityAttention to DetailData and Trend AnalysisPerformance ManagementRegulatory RelationsJob Description:Global Risk Analytics (GRA) and Enterprise Independent Testing (EIT) are sub-lines of business within Global Risk Management (GRM). Collectively, they are responsible for developing a consistent and coherent set of models, analytical tools, and tests for effective risk and capital measurement, management and reporting across Bank of America. GRA and EIT partner with the Lines of Business and Enterprise functions to ensure the capabilities it builds address both internal and regulatory requirements, and are responsive to the changing nature of portfolios, economic conditions, and emerging risks. In executing its activities, GRA and EIT drive innovation, process improvement and automation.EIT Analytics is responsible for partnering with stakeholders to identify data and reporting needs, leverage insight and capabilities to simplify data structure and reporting, delivering an improved experience while increasing focus on risk management.

Role Overview:The Senior Data Analyst is responsible for providing data and analysis needed to inform key decisions and action needed to address risk across the Bank. This role will require close partnership with key stakeholders to obtain a deep understanding of their processes, technology infrastructure, including underlying data and controls to ensure accuracy and validity of information.As a Senior Data Analyst in EIT, main responsibilities will include:• Turning data into insights to tell a story; present large amounts of data in a visually insightful way that can be easily digested by an executive audience.• Compiling and organizing data regarding issues or business processes needing improvement• Transforming large datasets to identify patterns and summarize insights to identify strengths and weaknesses.• Designing & developing analytics models, algorithms and analysis• Collaboration with key stakeholders and SLT to understand business needs.• Delivery of data needs at various levels of end users.Required Education & Experience:• Bachelor’s degrees or above in fields including but not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration• 5+ years of relevant work experience

Required Skills:Intellectual Curiosity• Applies critical thinking and connects the dots on how processes relate to one another.• Demonstrates understanding of and passion for the “why”.• Looks around the corner, explores uncharted territories with an “outside-in” perspective.• Life-long learner who not only assertively educates self, but encourages others to learn and grow.• Feels ownership and accountability for delivering high quality work, able to prioritize effectively, adapt, and meet strict deadlines.• Ability to recommend and implement process control improvements.Executive Interaction & Communication• Strong written, verbal, presentation creation and delivery skills.• Communications are timely, concise, easy to follow and tailored to topic, audience, and competing priorities.• Exercises excellent judgment, discerning appropriate moments to challenge or insert point of view.• Presentations tell a compelling story and influence action.• Asks the next level of questions, applies context to determine direction.

Technical Skills:• Expert knowledge of complex data architecture, including modeling and data science tools and libraries, data warehouses, and machine learning.• Expert level coding skills, Excel, and End user interface development• Managing large data sets utilizing tools such as Hadoop.• Transforming large datasets to identify patterns and summarize insights.• Ability to turn data into insights to tell a story; present large amounts of data in a visually insightful way that can be easily digested by an executive audience.• Experience with large number of different data storage solutions and understanding of efficient usage.

Desired Skills:• Mastery of Python and Tableau• Experience with machine learningShift:1st shift (United States of America)

Hours Per Week:40#J-18808-Ljbffr