Marketing Intern (Data Analytics)

About us

At Auctane, we are united by a passion to help sellers — wherever they are, however they operate — fulfill the promises they make to consumers. The Auctane mission is to fuel commerce through exceptional delivery. We make it possible for businesses to meet the ever rising expectations of their customers, and we make the world smaller and more accessible to consumers everywhere. Auctane brands enable hundreds of thousands of merchants to annually deliver billions of products — over $200 billion worth — to customers around the globe. And Auctane is just getting started.

Auctane is a team of shipping and software experts with a passion for helping merchants move their ideas, dreams and innovations around the globe. The Auctane family includes ShipStation, Stamps.com, ShipEngine, Endicia, Metapack, GlobalPost, Packlink, and Return Rabbit. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

About the role

2025 AuctaneU Summer Internship Program

Applicants must be currently enrolled in undergraduate or graduate program at an accredited university 

Interviews: On a rolling basis through March, 2025 

First Day of onsite Orientation: June 3, 2025

Last day of the Internship Program: August 7, 2025

This is a paid internship 

Ability to work 40 hours per week (except for the week of July 4th)

Position is hybrid in Austin, TX (Monday & Friday remotely & Tuesday, Wednesday and Thursday in-office) 

This is an internship role within the Marketing department.

What will you be doing?

• Conducting In-Depth Research: Explore the latest open-source marketing mix modeling (MMM) tools, including Meta's Robyn, Google's Meridian, and others, to evaluate their methodologies, capabilities, and alignment with organizational needs.
• Recommending a Path Forward: Synthesize findings into actionable recommendations for an internal MMM framework, balancing usability, accuracy, and scalability.
• Data Collection & Aggregation: Gather and integrate data from various sources (e.g., media spend, sales, customer data), ensuring all relevant inputs are centralized for analysis.
• Data Cleaning & Preparation: Address data quality issues, such as multi-collinearity, missing values, and outliers, to create a robust dataset ready for modeling.
• Building the Foundation for MMM: Assist in spinning up a foundational MMM environment, including configuring tools, setting up workflows, and documenting processes for long-term use.
• Collaboration & Communication: Work closely with analytics and marketing teams to understand business needs, share progress, and align on project objectives.

What are we looking for?

• Passion for Data Science & Marketing Analytics: You’re excited about using data to solve complex business problems and eager to learn about marketing mix modeling.
• Strong Analytical Skills: You have experience with data manipulation, cleaning, and analysis, and you’re comfortable working with large, messy datasets.
• Proficiency in Programming: Familiarity with R is a must, and experience with libraries like the tidyverse is a big plus. 
• Knowledge of Statistics: You understand concepts like regression, multi-collinearity, and time series analysis, and can apply them in a practical context.
• Curiosity About Open-Source Tools: You’re eager to dig into tools like Meta Robyn or Google Meridian, with a willingness to experiment and evaluate their potential.
• Problem-Solving Mindset: You enjoy tackling challenges and thrive in figuring out solutions to complex data and modeling issues.
• Attention to Detail: You’re meticulous about ensuring data quality and accuracy in your work.
• Communication Skills: You can clearly explain technical concepts to both technical and non-technical stakeholders, making your insights accessible and actionable.
• Self-Starter Attitude: You’re proactive, resourceful, and ready to take ownership of your projects from start to finish.
• Team Player: You enjoy collaborating across teams, gathering input, and sharing your progress to keep everyone aligned.
• Experience with Marketing Analytics: Prior exposure to marketing data, attribution modeling, etc.
• Advanced Programming Skills: Knowledge of SQL, as well as experience with cloud platforms (e.g., GCP) or data visualization tools like Tableau or Looker.
• Strong Statistical Knowledge: Familiarity with advanced modeling techniques, such as Bayesian models or machine learning approaches, for marketing optimization.
• Hands-On Open-Source Experience: You’ve already tinkered with open-source analytics or marketing tools and can bring insights from real-world experimentation.

The Tech

• R
• SQL
• Google Suite

What do we offer?

• 🏠 We are a hybrid company. All team members at Auctane in Austin come into the office Tuesdays, Wednesdays and Thursdays.
• 🏟️ Company events, we work hard, play hard! We do our best every day, even at our regular team-building events.
• 🏢 Attractive office space in the heart of central Austin, Texas (free drinks, snacks…).
• 🍽Indulge in weekly catered lunches at our office – a delicious perk to fuel your work.
• 🏋🏾‍♀️Fitness center in the office with Tonal Mirrors, Pelotons, free weights, etc.
• 💪🏽We offer gym discounts to help you stay fit and healthy!
• 💜 An inclusive, casual and upbeat work environment. The personality and opinions of each of our team members are important and valid; we aim to offer all employees a safe environment where they can be themselves and thrive.

Additional Position Duties: (The following is a list of what all employees, except those with medical accommodation, may be regularly required to do.)

• Sit for prolonged periods of time
• Utilize wrist and hands for a prolonged period of time
• Walk short distances
• Stand for short periods
• Speaking and conversing with others
• Lift up to 25lbs without assistance up to chest height

Equal Opportunity Employer/Veterans/Disabled

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