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Healthcare Data & Business Consultant
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It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Brief about Fractal:
Fractal Analytics is Leading Fortune 500 companies leverage Big Data, Analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business.
Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling.
The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you.
Responsibilities :
The Healthcare Data & Business Consultant will play a key role in leading and supporting consulting engagements across the healthcare domain with a strong focus on data engineering, modernization, and enablement. The consultant will bridge the gap between business and technology — translating healthcare business needs into data-driven architectures, models, and solutions that drive measurable outcomes. This role will also contribute to capability building and business growth initiatives across the healthcare vertical.
Key Responsibilities:
- Business Consulting & Data Solutioning:
Engage with healthcare clients (payer, provider, PBM, life sciences, etc.) to understand their business challenges and translate them into data engineering and modernization opportunities. Define solution architectures and data strategies for use cases such as claims integration, member360, provider network design, utilization management, and care coordination.
- Healthcare Data Management & Engineering:
Work with cross-functional data teams to design and implement robust data pipelines, data lakes, and data warehouses. Be able to curate ingestion, transformation, and curation of logic across layers working with Engineering teams. Support the design of scalable data models that unify medical, pharmacy, provider, and member data.
- Data Modernization & Cloud Enablement:
Partner with technology teams to implement modern data platforms, leveraging tools such as Power BI, Databricks, Azure. Contribute to the development of frameworks for data quality, metadata management, lineage, and governance aligned with healthcare compliance (HIPAA, HITRUST).
- Solution Development & Enablement:
Support internal capability teams in building healthcare-specific accelerators and reusable components for data ingestion, processing, and quality management. Contribute to proposals and client discussions by framing data-led transformation roadmaps and architecture blueprints.
- Client Engagement & Growth:
Work closely with sales and delivery teams to identify opportunities for data modernization within existing or new healthcare accounts. Participate in client workshops, pre-sales conversations, and proposal creation by providing domain depth in healthcare data ecosystems.
Qualification & Experience
- Minimum 5 years of experience in healthcare, data management, or consulting roles
- Strong understanding of healthcare data ecosystems (claims, clinical, member, provider, EHR, HEDIS, or quality measures)
- Hands-on exposure to data platforms and tools (Power BI, SQL, Databricks, Azure Data Factory or similar)
- Knowledge of data governance, data quality, and interoperability standards (FHIR, HL7, HIPAA compliance) preferred
- Excellent problem-solving, healthcare data understanding, business communication, and stakeholder management skills
Education:
Bachelor’s degree in Engineering (BE/BTech) or equivalent; advanced degree (MBA, MPH, or related) preferred.
Bachelor’s degree in Engineering (BE/BTech) or equivalent; advanced degree (MBA, MPH, or related) preferred.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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