Lead Data Analyst

We are looking for a  Lead Data Analyst  to join the Data Engineering team, who will be responsible for integrating data into our Data Activation Platform from customers clinical, claims, and other data sources, executing analytical jobs and powering up the Innovaccer suite of products.

You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them.

In this role, you will work closely with a team of Data Engineers, in collaboration with the Product Engineering teams, to implement the entire end-to-end data and analytics workflows on completely cloud-based environments (AWS or Azure), that will support customer objectives.

you'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis.

A Day in the Life

• Guide and mentor the team in best practices for handling the data.
• Review and provide feedback before the deliverables are shared with the customer.
• Play with and transform data.
• Work towards creating easy-to-digest analytical reports for US healthcare customers.
• Design and build interfaces that facilitate workflows between Data Activation Platform and client third party systems as scoped while complying with respective standards and industry best practices.
• Define and document best practices along with thorough message specifications.
• Monitor and tune the configuration of interfaces for high availability once deployed in production environments.
• What You Need 7+ years in an analytics role in data services / product firm.
• Data modeling ability - knowledge of different data modeling concepts
• Strong knowledge of SQL for ETL, knowledge of scripting languages like Python will be a plus
• Self-starter, curious, accountable, enjoys a healthy level of autonomy, strong work ethic, able to succeed in a fast-paced, high-intensity startup environment.
• Extensive experience relaying technical and non-technical information in a clear and concise manner
• Demonstrated expert problem solving and analytical skills
• Excellence in multitasking and managing multiple high-priority customer engagements at once
• Ability to assess complex client requirements and arrive at integration solutions that will satisfy seamless experience between our platform and theirs
• Competence to mentor junior team members and introduce industry expertise and best practices across data engineering
• Bachelors degree in Engineering, Computer Science. Advanced degree in any of the areas above would be a plus

Skills Required

Cloud Computing, Machine Learning, Python, Data Visualization, Data Analysis, Big Data