Senior Data Analyst

Over 300,000 healthcare professionals, 120,000 prescribers, 67,000 pharmacies, and 260 of the healthcare IT vendors in the market depend on us every day to manage medication safety and efficiency, streamline care team communication and collaboration, reduce medical errors, and improve patient outcomes.

• An Innovator: who thinks outside the box to introduce new methods, ideas and products, and loves building and creating new tools and approaches to improve healthcare
• A Problem solver: passionate about using technology to solve complicated problems, and harnessing the power of data to adopt new tactics to enhance efficiency and scalability
• A Trusted advisor: with strong technical acumen who always strives to do better tomorrow than today, and continuously improve their team’s analysis knowledge and skills

• Coding: You'll work with the business to create repeatable python pipelines for querying data and carrying out business analyses. You’ll develop SQL codes to integrate, scrubbing, manipulate, and analyze data.
• Analysis: Being able to capture, manipulate and interpret data. Working across marketing, product development and external partner teams, sharing KPI-driven reporting and insights.
• Learning: Our Data and Analytics team is full of life-long learners. We are looking for people who have a growth mindset, stay up on their craft, and always keep an eye out for what’s next. Open Source contributions and cross training opportunities are a way of life here.
• Problem solving: The problems we are solving are unique and complex. This takes critical thinking, root cause analysis, the ability to handle uncertainty/ambiguity, and issue dissection with the team to come up with the best solution.
• Delivering: We are committed to producing world class products. Being skilled at managing competing priorities, pivoting and adjusting quickly, and thinking about the big picture are keys to success.

• Bachelors or Masters in statistics, math, computer science, Statistics, Economics, or a quantitative field
• 5+ years’ experience working with Python (particularly with the `pandas` library)
• 5+ years’ experience with complex data analysis, visualization, and dashboards
• 5+ years’ experience working with SQL; Advanced knowledge of performance tuning and query optimization.
• Excellent Excel skills, including data manipulation and visualization
• Working experience with Tableau or other relevant data visualization software (Power BI, etc.).
• Knowledge of probability and statistics.
• Applied experience in experimentation design, A/B testing and/or probabilistic modeling a plus.
• Strong communication skills, the ability to work with a variety of business stakeholders, and experience presenting data and insights to senior leadership
• Preferably a background in Healthcare IT, preferably experience working on Rx data and patient adherence programs.

We offer comprehensive benefits to keep you healthy as you grow in your life and career. Your merit-based compensation will reflect the impact your work has on the company and our customers.