Data Support Sr. Analyst

Bank of America; City of Rochester (NY); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading financial institution in Rochester is seeking a Mid-Senior level professional to oversee risk data processes within Global Risk Management. This role focuses on ensuring data quality and collaborating with cross-functional teams. Ideal candidates will have a relevant degree and experience in data engineering or risk management. Full-time position offering competitive hours and professional growth opportunities.

Qualifications

• 1-3+ years of experience with Data Sourcing, Data Wrangling, or similar.
• Strong process and systems analysis, design, and documentation skills.
• Strong analytical and problem-solving abilities.

Responsibilities

• Oversee risk data processes and controls.
• Collaborate with data stewards and stakeholders on data quality.
• Ensure completeness, validity, and accuracy of data.

Skills

Data Engineering

Analytical skills

Risk Management

Critical Thinking

Problem-Solving

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

SQL

C/C++

Java

Oracle

Hadoop

Job description

About Bank of America

Bank of America is guided by a common purpose to help make financial lives better through the power of every connection. We drive Responsible Growth and deliver for our clients, teammates, communities, and shareholders each day. Being a Great Place to Work is core to how we do this, with a commitment to inclusion, exceptional talent development, wellness support, performance recognition, and community impact.

Role Overview

This position focuses on overseeing risk data processes and controls within Global Risk Management (GRM). The successful candidate will collaborate with data stewards, users, owners, technology teams, and business stakeholders to understand, assess, and improve data quality and risk controls across the organization.

Responsibilities

• May manage or supervise a small group.
• Proactively monitor and remediate incoming data used in risk measurement and reporting.
• Ensure the completeness, validity, and accuracy of data on a daily basis.
• Work with business data users to define data use within risk systems.
• Collaborate with technology to ensure timely and accurate operation of risk models and reporting systems.
• Implement effective risk controls of data processes and systems.
• Participate in user acceptance testing of data control processes.
• Engage with teams such as Middle Office, Sales and Trading, Technology, Compliance, Operational Risk, and Enterprise Capital Management to ensure effective controls over data for GMRM.
• Consult with data stewards, process owners, subject matter experts, technical experts, end users, and other stakeholders to gather information about current and target state processes, data attributes, sources, controls, and interfaces.
• Document and provide definitions for processes and procedures, data models, data quality controls, data lineage, and data dictionaries using industry‑standard methods.
• Analyze information, reconcile conflicts, and abstract up from low‑level details to a general understanding.
• Assess and identify deficiencies against internal policies, standards, and industry best practices, providing formal recommendations and requirements to remediate.
• Collaborate with technology teams, architects, and other key stakeholders to drive solutions that provide operational excellence and resiliency.
• Review and provide input to technical solution designs from a business point of view and recommend alternatives.
• Communicate plans, progress, and risks appropriately to stakeholders and sponsors.

Required Skills

• Bachelor’s or Master’s in Computer Science, Systems Analysis, Information Systems, or a related field.
• 1‑3+ years of experience with Data Sourcing, Data Wrangling, Data Engineering, or a similar role.
• Strong process and systems analysis, design, and documentation skills.
• Strong analytical, critical‑thinking, and problem‑solving abilities.
• Ability to monitor tight deadlines and adapt to unexpected requirement changes.
• Strong understanding of Risk Management and Data Management principles.

Desired Skills

• Familiarity with areas such as Trading, Consumer Banking, Wealth Management, or Transaction Banking.
• Experience or knowledge of programming languages such as SQL, C/C++, or Java.
• Familiarity with databases (e.g., Oracle, Hadoop).

Additional Information

• Shift: 1st shift (United States of America)
• Hours per week: 40

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Banking