Sr Business Information Mgmt Analyst ("Credit Card") – Excel/SQL/Tableau/Python/Jira

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$68,640 - $112,320 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Data & Analytics

Job Description:

The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics.  Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects.

Position Overview:

This position will support the US DMO (Data Management Office) in executing on the Initiative Data Management team's mandate for the Consumer Banking "Credit Card" Portfolios:

• Work on complex business information management initiatives for a key business/functional area that may have enterprise wide scope
• Provide expertise within the specialized field and/or other data management functions that support business needs
• Work closely with cross functional teams to ensure the implementation of data management processes and enforce data governance policies to meet specific project needs, regulatory requirements and best practices
• Support the development of presentations /communications of data quality results
• Understand department objectives and contribute by supporting data management activities
• Support the management of data in accordance with the Enterprise Data Policy, Standards and Strategy/ Enterprise Data Management Office (EDMO) Standards
• Support data related activities and analysis on business projects and initiatives
• Data mapping, understanding flow of data from source to target systems, Well versed with process flows
• Assess current capabilities and high-level business requirements and apply technical background/understanding in the development of system requirements and functional documents
• Work in close partnership with business partners / technology / project teams and stakeholders to plan, elicit, analyze, document, communicate and manage detailed functional specifications

Depth & Scope:

• Expert level professional role, considered subject matter expert with in-depth knowledge / expertise in own domain / field of specialty and working knowledge of broader related areas
• Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
• Advanced  analytical and problem solving skills and fluent in one or two programming language
• Works autonomously on a range of tasks and may be relied upon to coach / educate others
• Lead projects of  moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
• In-depth experience working with very large datasets and familiarity with big data technologies
• Keeps abreast of rapid business and technology  innovation within business information management field
• Familiar with visualization tools
• Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes
• Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.)
• May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists
• Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities
• Supports business teams in the use and understanding of the data and reporting solutions
• Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data
• Drives data-centric solution development focusing on complex data i