Data Analyst — Entry-to-mid level with huge applicant pools
Commack, United States | Posted on 12/16/2025
BoxNCase ( ) is your trusted source for gourmet culinary essentials, serving businesses and individuals across North America. Based in the New York City Area, we take pride in being one of the largest direct importers and wholesalers specializing in the world of Specialty & Fine Foods, offering a diverse array of premium products in club sizes. Our commitment is rooted in bringing you a diverse selection of top‑tier specialty and fine food products, thoughtfully sourced from around the globe. Discover a curated selection of chocolates, candies, snacks, spices, condiments, cheeses, teas, and more, all in bulk sizes. Whether you're stocking up for your business or a home chef with a passion for gourmet creations, our easy ordering, proprietary CPG logistic solutions, and US based account managers cater to your unique needs.
Job Description
About the Role
We are seeking a curious Data Analyst to join our team and help us make sense of our data. You will be the go‑to person for reports, dashboards, and ad‑hoc analysis.
- Data Reporting: Design, build, and maintain automated dashboards using Tableau , PowerBI , or Looker .
- Querying: Write complex SQL queries to pull specific datasets from our database for internal stakeholders.
- Data Cleaning: Identify quality issues in data pipelines and work to clean and standardize datasets.
- Trend Analysis: Monitor Key Performance Indicators (KPIs) and alert management to significant trends or anomalies.
- Collaboration: Partner with Marketing, Sales, and Product teams to answer specific business questions with data evidence.
- Ad‑Hoc Analysis: Respond to urgent data requests and turn them around quickly with high accuracy.
Requirements
- Experience: 1-4 years of experience in data analysis or business intelligence.
- SQL Skills: Strong proficiency in SQL (Select, Join, Group By) is required.
- Visualization: Hands‑on experience building dashboards in PowerBI , Tableau , or similar tools.
- Excel Mastery: Advanced Excel skills (VLOOKUP, Index/Match, Pivot Tables) are a must.
- Communication: Ability to explain complex data findings to non‑technical team members clearly.
- Detail Oriented: You double‑check your numbers and take pride in data accuracy.
Preferred Tech Stack
- Languages: SQL, Python (basic knowledge is a plus)
- Spreadsheets: Excel, Google Sheets
Benefits
- Salary Range: $40,000 – $110,000 USD / year (Based on experience and location)
- Remote Work: Flexible work environment.
- Growth: Opportunity to learn Python/R and advanced Data Science techniques.
- Health: Medical, dental, and vision insurance.
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