Data Analyst

JOB DETAILS Restaurant Depot is the leading wholesale distributor of food, equipment and supplies to independent grocery retailers and foodservice operators across the United States. We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science projects that have far-reaching implications for all stakeholders across our organization. Job Description 3 or more years’ experience in a data analyst or data scientist role Demonstrated ability to take analytics/reporting/data science projects from start to finish – including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations Advanced knowledge of Python – especially with respect to the data analysis, statistical modelling, and machine learning stacks Expertise using SQL to extract and transform data - advanced knowledge of writing efficient SQL queries and stored procedures required Experience in extracting, cleaning, validating, and analyzing datasets from different data sources with varying levels of data quality Experience writing DAGs in Apache Airflow Experience using Docker to containerize workflows Experience interacting with *nix OS’ through the command line Experience with Plotly Dash or Streamlit Familiarity with Selenium is a plus Familiarity with numerical optimization is a plus Bachelor’s Degree or higher in Analytics / Statistics / Data Science or other related subjects Strong working knowledge of utilizing standard MS Office tools (Excel, Word, and Power Point) Ability to multi-task and adjust priorities based on workload and direction from management Self-motivated to document processes and teach others Candidates that do not demonstrate all of the above are still strongly encouraged to a apply Applicants should submit a paragraph summarizing one of their data science projects – the challenges they faced and how they overcame it Applicants should also provide links to their GitHub profiles or portfolios Job Ref #: 4471f1c2-5f81-4b3e-b280-1719ec3431ae Date Posted: 2026-07-03