Senior Digital Analyst

Tuckernuck, Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Tuckernuck, Inc. seeks a Senior Digital Analyst to influence strategic decisions through analytics architecture and digital analysis.

You will implement measurement tooling, leverage a modern data stack, and partner with Digital, Marketing, and Merchandising to enhance customer experiences. Responsibilities include rigorous data analyses, building dashboards with Hex, and educating teams about data-driven insights while ensuring compliant data collection and privacy practices.

Qualifications

• 3+ years in a data-centric role.
• Fluent in SQL and proficient in Python.
• Deep understanding of Google Analytics and BigQuery.
• Extensive experience with Google Tag Manager.

Responsibilities

• Analyze digital data using SQL and Python with rigor and accuracy.
• Present findings clearly both in writing and verbally.
• Collaborate with cross-functional teams to identify high-value projects.
• Build dashboards and data tooling using Hex.
• Provide peer review of analytics deliverables.
• Educate teams about data through hands-on teaching and documentation.
• Audit and improve analytics instrumentation.
• Implement new digital data collection with Google Tag Manager.
• Ensure data collection respects customer consent and regional regulations.

Skills

SQL

Python

Google Analytics

BigQuery

Google Tag Manager

Tools

dbt

Hex

Fivetran

Job description

Senior Digital Analyst

US

3 days ago Requisition ID: 1007

Salary Range: $120,000.00 To $170,000.00 Annually

Position Overview

Tuckernuck's business and team members thrive on data. As a Senior Digital Analyst / Analytics Architect, you will influence key strategic decisions within a high-volume, high-growth business. This hybrid role involves both analytics architecture and digital analysis: not only will you implement new measurement tooling, but you will also employ the data you collect in actionable analyses. You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams - including Digital, Marketing, and Merchandising - driving the strategies behind our customer experiences, marketing, and content. 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. This position can be based in our Washington, DC Headquarters office or remote.

Core Responsibilities

• Conduct rigorous, accurate analyses of our digital data, primarily 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.
• 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.
• Audit and improve the accuracy of our analytics instrumentation.
• Implement new digital data collection using Google Tag Manager and collaborating with our measurement partners.
• Ensure data collection respects customers' consent signals and complies with regional data-protection regulations.

Minimum Qualifications

• You have worked in a data-centric role for at least 3 years.
• You fluently write SQL and proficiently write Python.
• You deeply understand Google Analytics and have used BigQuery to analyze GA data.
• You have worked extensively with Google Tag Manager.

Knowledge/Skills/Abilities

• 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 dbt and Git. (If not, we will teach you!)
• Implemented server-side tracking.
• 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
• Respect
• 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.