Job Description
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 Need7+ 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
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 Need7+ 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
💡 Quick Summary
Seeking a career-building opportunity? The Lead Data Analyst position is now open for candidates interested in the Data Entry Jobs sector. This role in Noida offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Data Entry Jobs is a plus.
