Foodsmart is the largest telehealth network of registered dietitians in the country with a mission to make eating well simple. Our telenutrition program, backed by our healthy food marketplace, makes healthy eating personalized, convenient, and affordable. By removing these barriers we make it possible for people to change their eating behaviors, leading to long-term health outcomes. Over 1 million users today across 4 of the 5 largest health plans and >20% of the Fortune 500 have benefitted from Foodsmart.

The Senior Data Analyst will join our dynamic team responsible for managing and interpreting data to provide actionable insights to our operations and product teams. The Data Analyst is responsible for developing, implementing, and maintaining cutting-edge analytic systems, conducting data analysis to derive business insights, and designing scalable data models and pipelines. This role also involves collaborating closely with stakeholders from various departments to prioritize business and information needs, and presenting data-driven recommendations to the executive team.

You Will

• Own the development, implementation, and maintenance of advanced analytic systems, simplifying intricate problems through streamlined frameworks.
• Conduct thorough data analysis to uncover valuable business insights, trends, and growth opportunities.
• Design, build, and manage scalable data models and pipelines within our data warehouse.
• Identify, interpret, and analyze patterns and trends within complex datasets.
• Collaborate closely with stakeholders in Marketing, Sales, Product, and Engineering to prioritize data-driven decision-making.

You Are

• Proactive and act as an advocate for your customers
• Take pride in your work and approach every project with enthusiasm and excitement
• Experienced in data warehousing, data design, and data analysis.
• Knowledgeable of healthcare industry standards and compliance regulations.

You Have

• Accumulated 6+ years of experience in a data analyst role, preferably within healthcare or startup environments.
• Proficiency in SQL and other data manipulation languages.
• Experience with business intelligence tools such as Tableau, Looker, or Power BI.
• Proficiency in at least one scripting language, with a preference for Python or R.
• A self-starting attitude, capable of thriving in a fast-paced, agile environment.
• Familiarity with ETL (Extract, Transform, Load) processes.
• Understanding of machine learning algorithms and statistical models.