Data Analyst

Innovaccer

Data Analyst at Innovaccer assisting healthcare customers in data analysis and report generation to improve health outcomes. Guiding on best practices and transforming data into insights.

Posted 6/11/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

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 workflows on the Data Activation Platform that pull data from client systems as scoped while complying with respective internal standards and industry best practices.
Review team deliverables and ensure quality and accuracy.
Monitor and tune the configuration of workflows for high availability once deployed in production environments.
Understand Innovaccer data warehousing concepts and implement best practices.

Requirements

What you’ll need

1-3 years in an analytics role in a 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.
Exposure to AI/ML concepts, including predictive modelling, classification.
Ability to effectively leverage AI-assisted development tools (e.g., Copilot, LLM-based coding assistants) while maintaining rigorous standards for code quality and correctness.
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.
Bachelor’s degree in engineering, Computer Science. Advanced degree in any of the areas above would be a plus.

Benefits

Comp & perks

Generous Paid Time Off: Recharge and relax with 20 days of fixed time off per year, in addition to company holidays—because we believe work-life balance fuels performance.
Best-in-Class Parental Leave: Spend quality time with your growing family. We offer one of the industry’s most generous parental leave policies to support you during life’s most important moments.
Recognition & Rewards: We celebrate wins—big and small. Get rewarded with monetary incentives and company-wide recognition for your impact and dedication. Your hard work won’t go unnoticed.
Comprehensive Insurance Coverage: Stay covered with medical, dental, and vision insurance, plus 100% company-paid short- and long-term disability and basic life insurance. Optional perks include discounted legal aid and pet insurance.

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Hard Skills & Tools

data modelingSQLETLPythonAI conceptsML conceptspredictive modelingclassificationdata warehousingworkflow design

Soft Skills

mentoringproblem-solvinganalytical skillscommunicationmultitaskingautonomyaccountabilitycuriositywork ethicteam collaboration

Certifications

Bachelor’s degree in engineeringBachelor’s degree in Computer ScienceAdvanced degree in engineering or Computer Science