Business Information Mgmt Analyst II(CUSO Data Concern Management and Capability Data Analytics-US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$58,760 - $88,400 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 Business Information Management Analyst provides business analytics support across a broad range of information management.  Works in collaboration with a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions for numerous business data capabilities. This position will support the US DMO (Data Management Office) in providing insights on the execution of the Data Concern Management process as well as other Data Capabilities across numerous Business Segments and Corporate Functions:

• Assist in developing self-servicing dashboarding allowing for businesses stakeholders
• Support the development of presentations/communications of data concern management and capability results
• Understand department objectives and contribute by supporting data management activities
• Support data related activities and analysis
• Use good judgement and critical thinking to make decisions that advance the work
• Become a Subject Matter Expert with respect Data Concern Management
• Deliver on commitments based on timelines
• Communicate the leadership of issues, availability, and task completion  
• Collaborate effectively with others to establish and execute on common goals

Depth & Scope:

• Experienced working professional role providing specialized business support, within their own area of specialty
• Requires experienced, conceptual and practical knowledge within their own specialty
• Strong analytical and problem solving skills and fluent in at least one programming language
• Leads projects or work streams within broader projects with moderate risk and may be accountable for managing ongoing activities processes and functional programs
• Accountable for own work and sometimes others; acts as an escalation point or knowledge resource for others in their own area
• Experienced working with very large datasets and familiarity with big data technologies
• Able to work with minimal direction  on multiple projects and priorities
• 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 deg