Business Analyst

Job Summary:

Subway aims to onboard a dynamic and experienced Data Scientist to bolster its expanding analytics team. This position is pivotal in fostering data-driven decision-making throughout the organization by devising and implementing advanced analytical solutions that elevate customer experience, optimize operational efficiency, and drive revenue growth. The successful candidate will collaborate with leaders from different functions to transform intricate business problems into impactful data science products, utilizing cutting-edge methodologies to influence the trajectory of Subway's Quick Service Restaurant business.

Responsibilities:

• Work closely with leaders in Marketing, Operations, Supply Chain, and other sectors to devise data-focused resolutions for intricate business demands.
• Examine sizable and varied sets of data, consisting of information from point-of-sale transactions, customer loyalty programs, and customer feedback, in order to extract insights that can guide decision-making.
• Formulate, establish, and launch predictive models and cutting-edge analytic instruments that are capable of scaling in real-world environments.
• Partner extensively with data engineers and software professionals across the entire lifecycle of data products, from preparing and cleaning data to deploying and monitoring models.
• Implement statistical approaches, machine learning algorithms, predictive modeling for time series data, and optimization methods in aid of business goals.
• Ensure that findings are communicated in a comprehensible manner to individuals with varying levels of technical expertise, offering strategic recommendations based on analytical insights.
• Stay abreast of emerging data science trends and technologies, delving into the potential applications of artificial intelligence and machine learning that are specifically relevant to the quick-service restaurant industry.
• Foster the advancement of Subway's analytics platform through effective management of code repositories and incorporation of top-tier approaches.

Qualifications and Experience:

• An advanced degree: like a Master's in Data Science, Computer Science, Applied Mathematics, Operations Research, or related subjects is preferred. However, individuals without this qualification can qualify based on substantial experience, with an extra three years in the field serving as a substitute for formal education.
• Over half a decade: of hands-on involvement in data science roles, with a strong reputation for delivering operational analytics tools.
• Adept in: statistical modeling, machine learning, hypothesis testing, regression analysis, clustering algorithms, and experimental design.
• Skilled in: Python and SQL programming, coupled with hands-on exposure to code version control tools such as GitHub, GitLab, and Azure DevOps.
• Familiarity with: handling substantial datasets using tools such as Apache Spark and cloud platforms, specifically AWS SageMaker, is advantageous.
• Applicants who demonstrate proficiency in: marketing mix models, A/B testing, media segmentation, and QSR/retail analytics are preferred.
• Exceptional competency in: analytical work, effective communication, and stakeholder engagement at all levels of an organization.
• Capability to excel in: a fast-moving, deadline-centric workspace with competing tasks.
• Showed ethical behavior: expertise, and a shared, creative perspective.

Benefits:

• Extensive insurance plans inclusive of medical, dental, vision, and disability coverage.
• An employer-sponsored retirement savings plan, the 401(k), with company-matched funds.
• Aid programs aimed at facilitating continued education and skill enhancement.
• Paid holidays and abundant paid time off provided by the company.
• Career progression opportunities within a worldwide brand.
• Employee savings and health programs.

Salary:

The salary scale varies between $170,000 and $190,000, influenced by the candidate's experience level and where the position is situated.

Criteria for receiving performance-related bonuses and a wide-ranging benefits plan.

About Subway:

Subway stands out as a key player in the quick-service restaurant field globally, renowned for its unwavering dedication to offering fresh fare, excellence, and a commitment to ongoing progress. Through its extensive network of franchise operators worldwide, Subway champions the empowerment of communities by promoting healthy living and prosperous enterprises. Join us during this momentous period of change and assist in streamlining healthier living for millions of customers each day.

Subway upholds an Equal Opportunity Employer policy, ensuring fair consideration for all applicants irrespective of race, color, religion, gender identity, national origin, disability, or veteran status.