• Marketing Data Science Analyst (SQL/Python/Tableau/Alteryx)

    Requisition ID
    2019-9711
    Requisition Post Information* : Post End Date
    Full-Time
  • Overview

    Tractor Supply Company (TSCO), the largest rural lifestyle retailer in the United States, is dedicated to enhancing our strong company culture built on our team members’ commitment to our Mission and Values.  With over 1,800 stores in 49 states and an innovative e-commerce platform, Tractor Supply ranks in the Fortune 400 with revenues of approximately $8 billion and growing! Come grow your career with us as we serve those who live “Life out Here”!

     

    Job Purpose

     

    The Marketing Data Science Analyst is responsible for creating, expanding, maintaining and analyzing optimized data that will be the foundation for cross functional data science and advanced customer analytics. This role will support customer data exploration by loading, transforming and analyzing data and by developing ad-hoc analytics to deliver insights that enable data-driven business decisions.  In addition, this position will aid the rest of the Analytics & Database Management Team with data analysis request, as needed by the business.

     

    This role sits on the business side within customer marketing and partners with the IT teams.

    Responsibilities

    • Build and automate data sets of all levels of complexity and size and sourced from multiple disparate systems to support the development of advanced analytics, statistical models, marketing campaign creation and measurement, and dashboard reporting.
    • Partner with a cross-functional team to explore, enhance, and steward TSC’s customer database, focusing on maintaining the highest level of data quality, security and coverage.
    • Collaborate with IT partners to surface data-related technical issues encountered by the customer analytics team; assist in determining the root cause and validating the solution.
    • Conduct hands-on exploratory analysis of customer, sales, marketing and other data to uncover insights, interpret results and provide recommendations.
    • Develop exploratory analyses into scaled, productionized analyses and dashboards to seamlessly deliver customer insights to the business.
    • Support CRM team by providing deep dive analyses, reporting and dashboards that measure the single- and cross-channel impact of marketing campaigns including direct mail, email, and digital marketing.

    Qualifications

    Experience:  2-3 years of experience in data engineering or analytics utilizing customer/CRM or high level transaction information.  Experience in Retail a plus.

     

    Education: Bachelor’s degree from an accredited college or university in Applied Mathematics, Statistics, Economics, or Analytics. Master’s degree a plus. Any suitable combination of education and experience will be considered.

     

    Knowledge/Skills/Abilities/Training/Systems 

    • Strong problem solving and analytical skills
    • Ability to work with large sets of related and disparate, structured and unstructured data.
    • Ability to communicate analytic insights and recommendations to a wide variety of audiences.
    • Skilled in working with relational databases or cloud computing (Netezza, SQL Server, Azure, AWS or similar); ability to query existing, load new, and remove unwanted data.
    • Ability to read and write analytical programming languages (SQL, Python, R, or similar)
    • Proficient in analytic and visualization software (Tableau, Power BI, Alteryx, Databricks or similar)

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