Senior Business Information Management Analyst

Senior data management analyst improving Credit Risk data quality and governance at TD, a major North American bank. Designing data solutions, models, ETL processes, and reporting frameworks.

Posted 8/12/2026full-timeRemote • Maine, Massachusetts, New Jersey, North Carolina, South Carolina • 🇺🇸 United StatesSenior💰 $72,280 - $117,520 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in business information management, data analysis, and data governance, with a strong focus on developing data solutions and frameworks that support analytics and decision-making. Proficient in collaborating with stakeholders to enhance data quality and implement effective data management practices.

Highest-signal resume keywords

Data Management SolutionsData AnalysisETL ProcessesData GovernanceSQL Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data WarehousingData MappingData ProfilingData ModelingData Lifecycle ManagementAnalytical Software ToolsProgramming LanguagesBig Data TechnologiesData Visualization ToolsStatistical Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsEffective CommunicationMentoringCollaboration

Tools & Technologies

MS OfficeTD ToolingData Preparation FrameworksData Reporting ToolsData Quality Processes

Certifications & Qualifications

Undergraduate DegreeTechnical Certificate

Industry Keywords

Credit RiskData GovernanceInformation ManagementData QualityData Lifecycle

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Provide business technical leadership across information management functions supporting data and analytics
Lead analysis, design, and support of business data management solutions across projects
Analyze, design, and develop data repositories, warehouses, marts, data movement, data wrangling, data mapping, and ETL processes
Support data solutions, applications, platforms, and tools used by Data Scientists and Business Insights & Analytics teams
Develop data preparation frameworks and architecture for Data Scientist consumption
Support data modeling capabilities for structuring business data
Support business teams in using and understanding data and reporting solutions
Develop data road maps, information management strategies, and technical solutions for integrating, transforming, and managing data
Drive complex data-centric solution development and adopt the Enterprise Data model
Gather and analyze data requirements to enable information management solutions
Establish, maintain, and enhance data management practices across Credit Risk programs
Partner with Data Owners, Data Stewards, technology teams, and business stakeholders to improve data quality and resolve data issues
Document data requirements, support regulatory compliance, and enable trusted data for decision-making
Develop business requirements, data models, business rules, data lifecycle management, governance, lineage, metadata, and reporting elements
Apply automation and innovation to data platforms and development projects
Design and implement complex business data information management frameworks
Collaborate with technology and business partners to resolve issues and meet SLAs
Provide expert guidance, data impact assessments, and data risk mitigation
Implement data information management standards and data quality processes
Maintain knowledge of upstream data sources and data across platforms
Identify critical data and critical data elements for governance and data management programs
Perform data profiling using TD tooling and ad hoc query languages
Support users throughout the data lifecycle and lead root-cause investigations for data issues
Support knowledge transfer and data expertise activities
Assess impacts of emerging issues, trends, and regulatory requirements
Participate as a subject matter expert in cross-functional and enterprise initiatives
Mentor others, share knowledge, and contribute to team development
Keep stakeholders informed about project status and day-to-day activities

Requirements

What you’ll need

Undergraduate degree or Technical Certificate
5+ years of relevant experience
Relevant background in business administration, statistics, mathematics, science, or finance
Expert knowledge of business information management and related areas
Advanced analytical and problem-solving skills
Fluency in one or two programming languages
In-depth experience working with very large datasets
Familiarity with big data technologies
Familiarity with visualization tools
Knowledge of data sources, tools, and technologies used to prepare summaries and reports
Knowledge of data analysis methods and reporting techniques
Skill in using analytical software tools
Skill in mentoring and coaching others
Skill in using computer applications including MS Office
Effective oral and written communication skills
Ability to work collaboratively and independently
Ability to exercise sound judgment and prioritize work while meeting multiple deadlines
Ability to handle confidential information with discretion
Preferred: reporting background
Preferred: coding experience
Preferred: SQL experience

Benefits

Comp & perks

Base salary of $72,280 - $117,520 USD
Variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
Health and well-being benefits
Savings and retirement programs
Paid time off, including Vacation PTO, Flex PTO, and Holiday PTO
Banking benefits and discounts
Career development opportunities
Regular career, development, and performance conversations with a manager
Online learning platform
Mentoring programs
Training and onboarding sessions
Accommodation support during the application process
Respectful and inclusive workplace with diverse perspectives and equitable opportunities