Business Intelligence Specialist (SAS & Tableau, Python)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$86,840 - $139,360 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 Fraud Business Intelligence Specialist(SAS & Tableau, Python) manages a diverse portfolio of business activities / reporting. This role is responsible to provide the design / development of complex presentations, reports, dashboards and scorecards to support business needs; ensures alignment of metrics across the organization using SAS, Tableau, SQL, Python, BI Skills, and Automation. This role acts a technical working lead / resource to others. This role works closely with senior leadership on significant projects. Additionally, this role drives the streamline, healthiness, and simplification of the reporting stack, ensuring optimal efficiency and clarity.

This is a Remote career opportunity

Schedule:

Monday - Friday

8:00am to 5:00pm

Depth & Scope:

• Works autonomously and accountable for acting as a lead within a specialized BI & Reporting function and may provide work direction to others

• Provides seasoned specialized knowledge, advice, and/or guidance to various stakeholders and team members

• Expert knowledge of reporting and BI platforms, tools and techniques used within enterprise and within broader industry and ability to effectively leverage it to support broad range of reporting and BI functions

• Expert at utilizing data sources across the organization with ability to integrate data across multiple platforms

• Expert at utilizing data visualization techniques / tools across the organization to support multiple businesses

• Manages communication at senior and executive level

• Works effectively across multiple business units with numerous stakeholders to deliver reporting and BI solutions

• Scope of role may have enterprise impact

• Generally, focuses on broad range of complex issues that may span from medium – long 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

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

• Experience with SAS, Tableau, SQL, Python, BI Skills, Automation is preferred

Customer Accountabilities:

• Initiates and provides leadership, tactical / technical direction and planning input for all business relevant information

• Elicits information requirements and articulates those requirements in a manner that can be easily understood by other data and business partners

• Identifies data elements to address reporting requirements

• Streamlines and improves existing reporting to eliminate errors and redundancies

• Ad-hoc reporting and derived insight analysis as required to support internal and external business partners

• Provides on-going communications on project status and systems capabilities

• Leads on enterprise data visualization needs and ensures related activities to overall strategies are completed

• As the leading subje