Sr. Business Information Mgmt Analyst (Reference and Master Data)

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 Data Management Operations group has the mandate to ensure TD Enterprise data is well understood, used ethically and responsibly, and is fit for purpose and available when needed. The Sr. Business Information Management Analyst (Reference and Master Data) position will support group leadership by performing day-to-day Reference and Master Data management activities, as well as assisting in the development of a centralized RMD Management program.

Day to Day:

• Independently participate in project meetings to identify Reference and Master Data needs
• Assist with Landscape Analyses to identify existing reference datasets
• Conform Reference Data from multiple systems and formats to Enterprise standards
• Partner with technology teams to initiate and validate Reference Data to production systems
• Review Data Quality reports, respond to issues arising in production systems, and take necessary action to remediate

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 integration
• Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups
• Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions

Education & Experience:

• Undergraduate degree or Technical Certificate
• 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background
• Proficient knowledge of various data sources, tools and technologies used in preparing summaries and reports
• Analytical and problem solving skills are required to interpret data and draw conclusions
• Knowledge of current and emerging competitor and market trends
• Skill in using analytical software tools, data analysis methods and reporting techniques
• Skill in mentoring/coaching others
• Skill in using computer applications inclu