About Us:
VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increase operating efficiencies, and improved patient understanding.
About the Position:
We are looking for a Senior Data Analyst to join our growing Product team. In this role, you will partner closely with key stakeholders across the organization to develop dashboards, ad hoc analysis, and multi-unit individual reporting for our internal and external customers. Our ideal candidate is a detailed data excavator, expert communicator, and top-notch analyst. They will be wholly committed to the discovery and development of reporting and insights to drive material performance improvement for the business. We are seeking a self-starter who thrives in a fast-paced, entrepreneurial environment with a no-job-too-big or small attitude.
Key Responsibilities:
Demonstrating to internal customers the economic and health outcomes our product delivers
Partner with sales and CS to present data to customers
Utilize SQL and BI tools to create reports, dashboards and visualizations and provide the insight analysis based on the business objective
Define the strategy for customer analytics, data exploration and internal KPIs
Work to identify and recommend prioritization for cross functional reporting and data sourcing required to deliver against the need
Own the process for managing data needs across the organization for internal and external consumption
Identify and establish BI tooling necessary to scale operations
Develop both automated, scheduled reporting and accessible dashboards based on user type and access need
Ensure data quality assurance for all reporting and effectively resolve issues with clear communication along the way
Requirements:
3+ years of proven experience in an analytics role, 2+ years of experience in a data science role
Experience developing and delivering customer insights (less focused on internal KPIs)
High proficiency in SQL, knowledge of relational databases, with ability to both manipulate and leverage data to produce insights
Experience with BI tools and visualizations preferred
Excellent communicator (written and verbal) with the ability to translate data into actionable insights
Hands-on aptitude with a willingness to troubleshoot and solve complex problems
Intellectual curiosity to discover new approaches, tools, and insights
Ability to collaborate cross functionality and function effectively as an individual leader
Excellent time management skills and the ability to work towards meeting multiple deadlines simultaneously
Bonus points for:
Experience working as a researcher in delivering Health & Economic Outcomes (HEOR) or worked in management consulting
Prior experience in a fast paced startup environment
Knowledge of Python
Don’t meet all the listed requirements? We still encourage you to apply! We are looking for the right teammate who is excited to contribute to our mission and are flexible on level of experience.
VideaHealth is supported by some of the best investors in the world, having raised over $27M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.
If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
VideaHeatlh is committed to cultivating an equitable, inclusive, and supportive environment for all employees. We believe this environment creates a safe space for employees to share their experiences, brainstorm ideas, and grow their careers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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