TD

Business Insights Specialist, Retail Partnership Credit Card, SQL/SAS/Python/Databricks

TD

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $95,264 - $155,376 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQLTableau

About the role

  • Deliver actionable insights to stakeholders through analyzing data
  • Measure the impact of marketing campaigns and make data-informed recommendations to the Line of Business
  • Optimize growth strategy of the Retail Partnership Credit Card portfolio
  • Conduct analyses on curated and/or aggregated DataMarts and generate analytical insights
  • Present or generate appropriate insights including supporting collateral and/or presentations
  • Work autonomously and act as a lead within a specialized business management function
  • Provide seasoned specialized knowledge, advice and/or guidance to stakeholders
  • Undertake and complete complex projects and initiatives requiring specialist knowledge
  • Interact with hierarchy up to executive leaders and external vendors
  • Train business users on integrating analytics into decisions
  • Identify opportunities for business growth and develop analysis to corroborate POC
  • Ensure business operations comply with internal and external requirements
  • Participate in team development and mentorship

Requirements

  • 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
  • Technical skills: SQL, SAS, Python, Databricks, Tableau
  • Experience with data analytics and visualization
  • Marketing Analytics experience a plus
  • Statistical Analysis experience a plus
  • Able to collect, clean and interpret data from multiple sources efficiently
  • Work closely with business partners to understand business problems, define success, and determine actionable insights
  • Communicate results effectively through visualizations and presentations to non-technical audiences
  • Prioritize requests from various stakeholders and manage multiple requests simultaneously
  • Experience in banking or retail analytics preferred
  • Test design/design of experiments preferred