Business Insights Specialist (Commercial Data Remediation) - Software Development/Python/SQL/ETL

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 is responsible for conducting analyses on curated and/or aggregated DataMart's in conjunction with deep business subject matter expertise, to generate relevant analytical insights for business issues and identify 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.

Position Overview:

This position will support the Data Issue Management and Remediation projects within the Risk & Regulatory Data & Analytics organization. This role will focus on the creation of ongoing monitoring and reporting tools for Commercial data monitoring. On a day to day basis the candidate will work to create a cohesive ETL ingestions and analytics engine, create and publish Tableau reports to internal stake holders, and provide executive recommendations based of analytics and Tableau reports.

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
• Focuses 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
• May interact with any hierarchy level up to executive leaders and external vendors

Education & Experience:

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
• 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Qualifications:

• 1-3 years of software development experience with strong programming skills (i.e. Python, R, Julia, etc.)
• Experience with Agile or Lean software development processes
• Data Visualization skills (i.e. Tableau, Power BI, etc.)

Customer Accountabilities:

• Leads on the interpretation of complex business issues, generates multifaceted insights and identifies opportunities to help drive business growth or address business/enterprise needs
• Presents and communicates generated insights and recommended business actions to stakeholders/business leaders in an easily digestible manner, leveraging tools/techniques/methods to produce a variety of visualizations/presentations that fit the audience
• Acts as the primary interface with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
• Applies collaborative and strong stakeholder management approach to constructively influence and persuade stakeholders and partners where appropriate
• Serves as an authority on a given business domain and provides business expertise to place context around analytics discovery and inform recommendations
• Escalates data/process related problems and communicates to relevant teams in a timely manner and makes recommendations for resolution
• Provides day-to-day support and delivery of analyti