Company Overview:
Blink Health is a healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products – BlinkRx and Quick Save – remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.
BlinkRx is the world’s first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can’t afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn’t have the medication in stock.
We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!
We are seeking a highly motivated Senior Manager to join our dynamic data team. As a Senior Manager at Blink Health, you will play a key role driving the data initiatives across various Blink teams such as product, engineering, operations, finance to deliver high quality data and insights. You will collaborate with cross-functional teams to identify opportunities for process improvement, efficiency enhancements, and strategic initiatives. The ideal candidate is analytical, detail-oriented, and has a strong understanding of business processes and data analysis techniques.
Key Responsibilities:
- Lead the team of data and business analysts
- Collaborate with stakeholders to gather and analyze requirements, and translate them into functional specifications and actionable insights.
- Drive processes for maintaining a high bar on data quality and insights
- Collaborate with stakeholders, analysts, engineers and scientists to drive business outcomes.
- Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
- Excellent people management skills with proven track record of performance management.
- Excellent project management skills to deliver the projects on time working with the US teams.
- Assist in the implementation of new processes and systems, and provide ongoing support and training as needed.
Requirements:
- Master’s/Bachelor’s degree in Business Administration, Economics, Computer Science, or a related field.
- Proven 10+ years experience in various data roles across business analysis, data engineering and, data analytics or similar role, preferably in the healthcare or life sciences industry.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau).
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Knowledge of Agile methodologies and experience with project management tools is a plus.
Why Join Us:
It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population. At Blink, we have a huge impact on people when they are most vulnerable: at the intersection of their healthcare and finances. We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year. Our business model not only helps people, but drives economics that allow us to build a generational company. We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.
We are an equal opportunity employer and value diversity of all kinds. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
