Senior Data Analyst
Listed on 2025-11-13
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
is a self-funded, profitable, rapidly growing multi-channel DTC specialty food and wellness company with over 550 people on our team. We’re changing the landscape of snacking on nuts, dried fruit, chocolate and more! We planted our roots in Newark, New Jersey during the Great Depression, selling premium nuts on Mulberry Street's open‑air market. We’ve come quite a long way since then, taking our multi‑generational family business online in 1999.
Even after 96 years, we continue to pride ourselves in expertly sourcing the highest quality foods and treating our customers like family.
What’s our team like? We’re driven, collaborative and entrepreneurial. Energy and passion power our business and we look for candidates who share in that excitement to help us continue to build something special.
The RoleAt , we love our customers, and we love the data that tells their story. We’re building our business on that foundation of data—and we’re looking for a Senior Data Analyst to help us make it faster, more reliable, and more insightful.
As a Senior Data Analyst, you’ll sit at the intersection of data, strategy, and storytelling - turning complex datasets into actionable insights that shape decisions across Marketing, Product, Finance, and Operations. Reporting into the Manager of Data & Analytics, you’ll own analyses from end to end: defining the question, querying data using SQL and dbt models, visualizing trends in Looker, and delivering recommendations that drive measurable business outcomes.
You’ll collaborate closely with data engineers to ensure reliable pipelines, and partner with business stakeholders to translate analytical findings into strategies that improve acquisition, retention, and profitability. This is a highly visible role for someone who loves both the technical side of analytics and the art of communicating insights that move the business forward.
We have thousands of items, data‑driven fulfillment centers, a robust order management system, an exhaustive tagging footprint, a growing number of media outlets, and happy, engaged customers. If you’re already imagining all the cool stuff we’ll be able to build with that, then we should talk.
What You’ll Do- Own Analytical Insights: Lead end‑to‑end analysis from defining the business question to delivering actionable insights that drive revenue, retention, and profitability across DTC and B2B channels.
- Design & Build Reports: Develop intuitive, scalable dashboards and reports in Looker, ensuring stakeholders have clear visibility into key KPIs across Marketing, Merchandising, Product, Operations, and Finance.
- Model & Transform Data: Collaborate with data engineers to define data models in dbt and write performant SQL that powers clean, reliable datasets for analytics.
- Drive Business Performance: Analyze customer behavior, campaign performance, and product trends to identify growth opportunities and operational improvements.
- Collaborate Cross‑Functionally: Work closely with product managers, marketers, merchants and finance partners to translate insights into strategic actions and measurable outcomes.
- Experiment & Test: Design, analyze, and interpret A/B and multivariate tests to measure the impact of product changes, promotions, and customer experiences—partnering with stakeholders to turn experiment results into scalable business strategies.
- Support Strategic Projects: Contribute analytical rigor to company‑wide initiatives such as pricing strategy, retention forecasting, customer segmentation, and marketing attribution.
- Education & Experience: Bachelor’s degree in Finance, Computer Science, Economics, Statistics, or a related analytical field, with 4–6+ years of experience in a data or analytics role.
- Technical Mastery: Advanced proficiency in SQL and strong fluency in Python for data transformation, automation, and experimentation analysis.
- Modern Data Stack Expertise: Hands‑on experience with tools such as dbt, Fivetran, Airbyte, Redshift, Mixpanel and Looker, ideally within a cloud‑based analytics environment.
- Analytical Rigor: Proven ability to structure ambiguous business problems, design analyses that drive measurable…
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