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Senior Data Analyst

1 month ago

Fort Worth, Texas, United States Bank of America Full time
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.

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.

We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

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 learning