Senior Marketing Analytics Manager

 

About us

At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.

The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.

Our values

Win as One. Delight Customers. Deliver Great Outcomes. 

About the role

We are looking for an experienced Senior Marketing Analytics Manager to join our team, reporting to the Director of Marketing Analytics. In this highly visible role, you'll be a key partner to marketing stakeholders, data engineering, and other cross-functional teams.

You're a hands-on expert who will own critical measurement frameworks, build and maintain insightful dashboards, and develop sophisticated attribution models. You won't just report the numbers; you'll be expected to uncover deep insights, make strategic recommendations, and drive the business forward through data-driven storytelling.

This position is hybrid (3 days per week in office) and is located in Austin, TX. 

About the team

Our Marketing Analytics team is the strategic data hub within the Marketing organization. Our mission is to empower marketers with a strong data foundation, accessible insights, and strategic guidance. We strive to optimize every marketing dollar for maximum efficiency and impact, ensuring that data is at the heart of every decision we make.

What will you be doing?

You will serve as a strategic marketing analytics partner, leveraging deep data analysis, advanced measurement models, and experimentation to provide actionable insights. Your core mission is to empower the marketing team with data-driven strategies, optimize campaign performance, and champion a culture of data-centric decision-making across the organization to drive business growth and maximize ROI.

• Lead Deep-Dive Analysis: Perform sophisticated analyses using advanced SQL, data modeling, and statistical techniques to uncover actionable insights that drive marketing strategy and execution.
• Own the Measurement Framework: Design, build, and maintain robust marketing measurement models, including but not limited to Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and customer lifetime value (LTV) to assess marketing efficiency and ROI.
• Drive Experimentation: Own the end-to-end process for A/B and incrementality testing, from hypothesis generation and experimental design to analysis and strategic recommendations.
• Be a Strategic Partner: Serve as a key analytics partner to Marketing stakeholders. Translate complex data findings into clear, concise narratives and actionable strategies to grow the business.
• Enhance Data Infrastructure: Collaborate with Data Engineering and Analytics teams to develop and automate robust reporting, dashboards, and underlying data pipelines, ensuring data integrity and accuracy.
• Champion a Data-Driven Culture: Act as a thought leader and subject matter expert. Elevate the team’s collective knowledge by sharing your experience, and evangelize an analytics mindset across the entire marketing organization to help shape a more data-centric culture.

What are we looking for?

• A Bachelor’s or Master’s degree in a quantitative field like Statistics, Economics, Computer Science, Data Science, or a related discipline.
• 5+ years of experience in an analytics role, with at least 3+ years focused specifically on marketing analytics.
• Expert proficiency in SQL for complex data extraction in a cloud data warehouse (BigQuery is a plus), combined with strong proficiency in Python or R for statistical analysis and modeling (e.g., Pandas, scikit-learn, statsmodels).
• Deep, hands-on experience in marketing measurement, including attribution modeling (MTA, MMM), incrementality analysis, and experimental design (A/B testing), with a strong understanding of the underlying statistical principles.
• Proven experience building insightful and user-friendly dashboards using BI tools like Tableau, Looker, or Power BI.
• A strategic mindset with the ability to connect complex data directly to business goals and influence decision-making at all level