Senior Data Analyst (CFO Data Management – Climate/ESG Data Analyst)

Bank of America•Charlotte, NC

8d•Onsite

About The Position

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. CFO Data Management (CFO DM) supports other CFO Function’s needs and use cases (e.g., management and regulatory reporting). This role will be responsible for Climate/ESG and Counterparty Data within a larger data environment. The individual will support the firm’s regulatory and voluntary Climate disclosures, including the Bank’s exposure to physical and transition risks as well as the on-balance sheet component of Bank of America’s goal to mobilize $1.5T in capital for environmental transition and inclusive development by 2030.

Requirements

Minimum 3 years of data analysis, data management, or reporting experience
Exposure to Climate and ESG reporting frameworks and/or counterparty data capture
Familiarity with transactional databases
Analytics experience with SQL
Capacity to handle multiple tasks and work in a flexible environment
Ability to think and act independently, detailed oriented and organized
Strong communication skills and the ability to build relationships across a matrixed organization
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

Nice To Haves

Bank of America, Regulatory Reporting experience a plus, including applicable Bank of America platforms (e.g. ERDP, GRIFFIN, Atlas, WCC, CED, CESIUM, PRDS)
Knowledge of banking products is a plus
Experience with Agile methodology
Knowledge of emerging technologies (e.g. Alteryx, artificial intelligence from a data validation/profiling perspective, etc.)
Bachelor’s degree in business, sustainability, or data related fields

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
Provide Subject Matter Expertise for Climate and Counterparty data attributes.
Control data consumed by CFO, including investigating and developing remediation plans for data quality issues;
Interface with business partners on their data needs, requirements for new data requests, track and prioritize changes;
Assist team with data analysis and ensure quality of outputs;
Create SQL scripts and conduct user acceptance testing on new data requests;
Collaborate across stakeholders including business reporting, product-specific data stewards, tech partners, upstream data providers/data management, and risk/compliance;
Identify, review, and evaluate potential upstream systems to determine data sourcing strategy;
Follow the proper risk disciplines and proactively escalate as needed;
Adhere to Enterprise Data Management Standards and Risk Data Aggregation requirements