Position: Senior Data Analyst
Company: FirstFive
Category: Data Science
Experience required: 5y
English level: upper

Company, a venture-backed startup located in Cambridge, MA, is America's fastest-growing healthcare review website with over 2 million users each month. Since 2016, they've built company into the most transparent, accessible, and inclusive healthcare review site. They have empowered millions of users to feel informed and confident making important decisions about their healthcare. Join our team and help us further our mission. Trusted reviews. Trusted care.

Our client is looking for an entrepreneurial and highly motivated Senior Data Engineer to join their dynamic team. This data engineer will focus primarily on the quality, reliability, and efficiency of the client Email marketing data pipeline, which processes millions of data points daily to function at maximum operational success. Data is the foundation of their business and drives all efforts at company. Their email marketing team works cross-functionally with stakeholders across analytics, sales, and engineering to create meaningful business and data-driven outcomes. Our Data Engineering positions offer a high level of autonomy and flexibility. You will be encouraged to take ownership of your projects and find opportunities to implement robust, scalable, and reliable data solutions across the business.

**Requirements:**

- 2+ years work experience in a data analysis role, such as research analyst, data scientist, or data analyst
- Successful candidates will have an undergraduate degree in a quantitative field or significant equivalent experience. (We define quantitative field very broadly including, Research Psychology, Economics, Math, Physics, Computer Science, Engineering, Biology, etc.)
- Experience in statistical methods and experimental design analysis;
- Strong data analysis writing and visualization skills, you like to tell a story with data
- Experience with statistical packages and coding languages, preferably Python or R
- Experience with database query languages, SQL is a must, Presto and Redshift experience a bonus
- Flexibility and initiative to create value in a fast-paced work environment; and Entrepreneurial, self-motivated and strong communication skills

**Your responsibilities may include:**

- Performing statistical analysis and designing multivariate experiments on complex "black box" models to determine best strategic mailing methods
- Leveraging statistical analysis and machine learning techniques to deep-dive into our user base and build complex models to underpin performance and predict user behavior
- Performing data collection, data scrubbing, and data analysis on "big data" assets for research and revenue optimization purposes
- Converting research findings into transparent, actionable research reports and high output plans for future work
- Collaborating with a team of account managers, data scientists, and engineers to deploy, report, and optimize research experiments