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 Tech, Buying, Planning, Marketing, 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.
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 3 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 extensively, especially via BigQuery.
Worked in a retail business, especially direct-to-consumer.
Implemented on-site digital measurement (e.g., via Google Tag Manager) and understand how to use Chrome Developer Tools.
Designed, implemented, and interpreted experiments (e.g., via split-testing tools).
Worked with digital advertising platforms (e.g., Google Ads and Meta).
Why choose Addison IT?
Pay: We negotiate high salaries using U.S. Bureau of Labor Statistics
Benefits & Bonuses: You are eligible for medical, dental, vision insurance benefits, 401K, and monetary bonuses
Permanent Employment: Many of Addison’s job openings lead to potential permanent employment
Connections: You connect directly with hiring managers from renowned organizations
Options: You are presented multiple employment options near your home
Professional Development: You are provided hiring process advice, resume revision, and employment term negotiation
Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Addison Group complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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