Product Marketing Executive

Position Overview 

Tuckernuck’s business and team members thrive on data. As a Senior Data Analyst, you will influence key strategic decisions within a high-volume, high-growth business. You will use and contribute to a modern data stack (BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams — including Marketing, Tech, Buying, Planning, Operations, and Finance — empowering them to make data one of Tuckernuck’s competitive advantages. Ultimately, you will help us to maximize the value of our 2 billion rows of data (and counting), converting raw information into knowledge that helps to fuel our next phase of growth. This position will report to Paul Koch, Head of Data.

Core Responsibilities 

• Conduct rigorous, accurate data analyses using SQL and Python.
• Communicate your findings and recommendations clearly, both in writing and orally.
• Collaborate with stakeholders to identify high-value projects and propose effective approaches.
• Follow best practices for dbt model-building and project-structuring.
• Produce dashboards and data tooling using Hex.
• Provide peer review of analysis deliverables.
• Educate other teams about our data through hands-on teaching and strong documentation.

Minimum Qualifications

• You have worked in a data-centric role for at least 5 years.
• You have used SQL and dbt in a professional context.
• You are comfortable with Git.

Knowledge/Skills/Abilities 

• Can cite examples of how your past analyses have influenced stakeholders’ behavior and quantitatively impacted your organization.
• Care not only about properly analyzing data, but also effectively presenting and visualizing your findings.
• Work proactively and independently, proposing projects rather than waiting for stakeholders to request them.
• Know when to work with ambiguity and when to push for clarity.
• Maintain a “strong opinions, loosely held” mindset: you have ideas for the business but adjust your position as you discover new information.
• Stay plugged into the data and analytics community, eager to learn about new tools and practices and introduce them in your work.
• Value curiosity, teamwork, input from others, and a focus on outcomes.

Preferred Skills

• Used Google Analytics 4 data, especially via BigQuery.
• Worked with digital advertising platforms (e.g., Google Ads and Meta).
• Worked in a retail business, especially direct-to-consumer.
• Designed, implemented, and interpreted experiments (e.g., via split-testing tools).

Compensation 

Compensation for the role will be determined based on the candidate's qualifications, skills, and experience. The estimated annual compensation for this role is $120,000-$170,000; classified as full-time exempt and not eligible for overtime. At Tuckernuck, we care about our team and offer benefits that support your health, growth, and work-life balance. This includes medical, dental, and vision coverage, a 401(k) with a company match, generous paid time off and holiday, paid new parent leave, day care coverage, a generous employee discount, and other great perks. 

Core Values

The successful candidate will also demonstrate the following core values that inspire the Tuckernuck team to make a difference.

• Teamwork Makes the Dream Work

• Find the Fun

• Stay Authentic

• Respect

• Entrepreneurial Spirit

• Start Strong & Finish Strong

• Have Courage

Tuckernuck is an equal opportunity employer and makes employment decisions on the basis of merit. Tuckernuck policy prohibits unlawful discrimination based on race, color, religious creed, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy, or any other consideration made unlawful by federal, state, or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful.