Business Insights Specialist (Data Transformation)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$95,264 - $155,376 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:

Analytics, Insights, & Artificial Intelligence

Job Description:

The Business Insights Specialist leads on the interpretation of complex business issues, generating multifaceted insights, identifying opportunities to drive business growth and value. This role works in partnership with business leaders to present or generate appropriate insights including the delivery of supporting collateral and/or presentations. The role also provides consultative support, business insight, advice and expertise to guide decision making and/or strategic planning by leveraging and interpreting data and analytical models to provide business specific or broad strategic insight and using a variety of audience-specific communication techniques.

Position Overview:

The Business Insights Specialist for the AMCB Data Transformation team supports strategic Data & Analytics initiatives by understanding our AMCB's current and future needs, ensuring those needs are addressed within our strategy and that the applicable guidance or plan is defined to achieve the desired state:

• Performing upfront analysis and/or discovery relative to current state and future state data needs
• Solicits, analyzes, and understands data requirements through documenting use cases or process/data flows, defining data needs, etc.
• Identifying how future state use cases will be solved at a high level in the target state and defining a plan to get there
• Develops data road map strategies on prioritizing and/or managing data
• Defining dependencies/ impacts to other initiative and identifies gaps in existing data needs and brings them forward to action on as applicable
• Supports stakeholder documentation to communicate status information
• Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others

Depth & Scope:

• Works autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
• Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
• Scope of role may have enterprise impact
• Focus on short to medium - term issues (e.g. 6-12 months)
• Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
• Oversees and/or independently performs tasks from end to end
• This level can interact with any hierarchy level up to executive leaders and external vendors

Education & Experience:

• Undergraduate degree or specialization in one of the fields below,
• 7 + years of relevant experience from a Information Management, statistical, mathematical, scientific or financial background
• or Graduate Degree and 5+ years relevant experience
• Proficient PC skills including a strong competency in MS Excel and PowerPoint, and a variety of analytical and reporting software packages
• Advanced knowledge of programming languages (i.e. SAS/SQL/ R, Visual Basic, Python)
• Ability to navigate multiple platforms and different data environments 
• Strong analytical and program solving skills are required to interpret data and draw conclusions
• Excellent written and verbal communications skills

Preferred Qualifications:

• Data & Analytics experience
• Strong data background/expertise in banking. This could be career/experience in one or more (prefer more than one): Data Management, Data Warehousing/Data Mapping, Data Governance, Data & Analytics/Reporting, Data Analysis, etc.
• Research, data and information gathering experience which includes: interview SMEs, gather and review documentation, etc.
• Strong communication bot