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Fintech Analytics Manager

Toast logo

Location
United States
Base Salary
122k-195k USD
Toast

Job Description

Toast is driven by building the all-in-one restaurant platform that helps restaurants operate their business, increase sales, engage guests, and keep employees happy.

The Finance, Strategy & Analytics team is responsible for providing analysis and recommendations to inform strategic and operational decision-making across the company. We are seeking an Analytics Manager to serve as the primary analytical resource to the Financial Technology leadership team, by diving into data to produce valuable insights that provide context to drive business decisions. This is a high-impact role that will offer substantial senior leadership exposure and the opportunity to drive long-term shareholder value in a hyper-growth environment at scale.

The ideal candidate will have a track record of delivering results, complete ownership of work and excellent business judgment. They should have a demonstrated ability to break down complex problems, deliver recommendations, and have a critical eye for detail.

About this roll* (Responsibilities)

  • Be a thought leader to business stakeholders and finance leaders by conducting analyses into drivers of business performance using SQL (Structured Query Language), Python and other BI Tools.
  • Define and build financial forecasts, dashboards and metrics that track business performance within the broader FinTech organization
  • Assist in any ad-hoc analyses and deep dives into strategic issues to improve the collective understanding of risks and opportunities related to the business
  • Use SQL, Python and BI tools to automate reporting and generate insights that will allow business leaders to quickly and accurately see how our business is performing
  • Communicate clearly, knowledgeably and transparently with cross-functional stakeholders (including but not limited to Finance, Product, Sales, Marketing, and Fraud/Risk) to build trusted relationships and enhance business outcomes
  • Proactively develop and address business questions through investigation/data forensics
  • Continuously look at opportunities to optimize processes and models used, to provide more timely and relevant insights across the business

Do you have the right ingredients*? (Requirements)

  • 5+ years experience in Business Intelligence, Data Analytics, Data Science roles and/or Bachelor's degree (or equivalent experience) in an advanced quantitative field such as mathematics, economics/finance, computer science, or physical science
  • Expert in SQL and Python (pandas, numpy, seaborn, etc)
  • Experience with data visualization. Can confidently choose the best visualization style for the given context; the insights from your visualizations speak for themselves
  • Excellent communication and interpersonal skills amongst a range of audiences
  • Positive attitude, high attention to detail, collaborative, and comfort in working in a matrix organization
  • Proven ability to manage and develop a high-performing team.

Special Sauce* (Nice to Haves)

  • Background building interactive dashboards in a tool such as Hex, Looker, Tableau, Domo, SiSense, etc
  • Strong financial acumen and experience with financial modeling and analysis.
  • Experience working with complex Excel models
  • Exposure to Data Science/Machine Learning models to inform forecasting
  • Experience working with FinTech data (payments, loans, other FinTech products)

Our Spread* of Total Rewards:

  • Flexible paid time off
  • Sabbatical opportunity after five years
  • Professional development reimbursement program
  • Commitment to employee wellbeing through resources such as a quarterly wellness stipend and mental health benefits
  • Parental leave
  • Various peer and company recognition programs
  • 401(k) and matching
  • Core health and welfare benefits including medical, dental, & vision coverage
  • Employee stock purchase plan
  • Subsidized backup childcare

*We love a great bread/food pun

Our Spread* of Total Rewards
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits.Pay Range$122,000—$195,000 USD

We are Toasters

Diversity, Equity, and Inclusion is Baked into our Recipe for Success.

At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.

The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.

Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.

Bready* to make a change? Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].

Advice from our career coach

A successful applicant for the Analytics Manager role at Toast should have a strong background in business intelligence, data analytics, or data science, with expertise in SQL, Python, and data visualization tools. To stand out as an applicant, showcase your ability to provide valuable insights through data analysis, strong communication skills, and a track record of delivering results. Here are some specific tips to help candidates standout:

  • Highlight your experience in conducting analyses using SQL, Python, and BI tools to drive business decisions.
  • Showcase your ability to define and build financial forecasts, dashboards, and metrics to track business performance.
  • Demonstrate your skills in communicating complex analyses clearly to cross-functional stakeholders.
  • Emphasize your attention to detail, collaborative nature, and experience working in a matrix organization.
  • If applicable, showcase any experience with interactive dashboard tools, financial modeling, data science/machine learning models, or FinTech data.

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