Jobs › Companies › Bank of America › Senior Data Analyst

About this Senior Data Analyst role at Bank of America

Bank of America · Onsite · Charlotte

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 and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. 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 ensuring operational data is fit for purpose, defining controls, and monitoring processes are in adherence to enterprise data management standards. Key responsibilities include triaging and remediating data incidents, performing data analysis, training new users, and performing impact analysis stemming from data updates. Job expectations include helping in defining access and ownership of data by domain, conducting quality control, and overseeing data maintenance.



Responsibilities:



  • Ensures data is accurate, complete, and fit for performing data analyses through various testing procedures and data controls which help to identify business insights fit for purpose for a particular product set
  • Develops and executes on Enterprise Data Management policies and standards, works across teams to ensure adherence, serves as a key point of contact for all topics related to data compliance, and manages operational elements of the (Enterprise Data Strategy Governance and Operations (EDSGO) relationship
  • Manages data related incidents and identifies, communicates, and resolves or escalates issues as needed. Data inquiries include questions related to data issues, availability of data, and potential sourcing alternatives to inform
  • Develops, manages, and executes on controls, ensuring tracking, monitoring, and resolution of any control breaches with data platform
  • Partners with Business and Technology functions to drive the development of business and functional requirements documents and ensures strategic upstream resolution for data related incidents



Required Qualifications:



  • Minimum 3 years of Issue Management or Project Management experience
  • Strong Organization & Reporting skills
  • Ability to self-prioritize competing tasks/priorities as needed
  • Strong written and verbal communication skills
  • Ability to understand issues and know how and when to escalate
  • Knowledge of Excel and PowerPoint




Desired Qualifications:



  • Prior experience supporting or working in the Issues & Project Management space.
  • Knowledge of Data Management, Data Governance and Data Architecture functions.
  • Exposure to Capital Market Products.
  • Familiarity with Agile Methodology concepts.



Skills:


  • Data Collection and Entry
  • Data Management
  • Data Modeling
  • Issue Management
  • Policies, Procedures, and Guidelines Management
  • Analytical Thinking
  • Collaboration
  • Data Governance
  • Data Quality Management
  • Data and Trend Analysis
  • Business Acumen
  • Controls Management
  • Production Support
  • Regulatory Compliance
  • Solution Design

Shift:

1st shift (United States of America)

Hours Per Week: 

40

Pay Transparency details

US - NY - New York - 1114 Avenue Of The Americas - Grace (NY1544)

Pay and benefits information

Pay range

$85,600.00 - $132,600.00 annualized salary, offers to be determined based on experience, education and skill set.

Discretionary incentive eligible

This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.

Benefits

This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.
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How this Data Analyst salary compares

This role pays $109,100/yr — in line with the typical range for Data Analyst roles.

$86,800 median $116,800 $158,851

Typical range $105,925–$136,129/yr, from 30 comparable Data Analyst listings on JobsRadar (pay annualized to USD). See Data Analyst salary insights →

About Bank of America

Bank of America is committed to help employees through the transition period when they’re displaced as a result of a workforce reduction, realignment or similar measure. Please review the resume writing and interviewing tips provided below to help prepare you for your next career opportunity. Getting started Regardless of the position you are interested in, the starting points to building your resume are the same: 1. Determine the job or types of jobs you want to do and research their responsibilities and qualifications. 2. Think about why you can do the job and make a list of your skills that are relative to the job. 3. Identify experiences or accomplishments that show your proficiency in t

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