Senior Associate - Data Analytics

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.

Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.

Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.

Join our team as the expert you are now and create your future.

Job Summary:
We are seeking a Senior Associate - Data Analytics with expertise in Revenue Cycle Management (RCM)
within the US Healthcare industry. This role requires strong analytical, technical, and leadership skills to
drive data-driven decision-making in areas like denials management, collections, write-os, A/R
(Accounts Receivable), and reimbursement trends. The ideal candidate will be proficient in SQL, Power
BI/Tableau/QuickSight, ELT processes, and cloud-based data solutions while also possessing team
management, mentoring, and stakeholder engagement skills
Key Responsibilities:
 Analyze denial patterns, payer behavior, reimbursement trends, and collection efficiency to
improve financial performance.
 Provide root cause analysis for denials, underpayments, and delays in claims processing.
 Develop dashboards and reports in Power BI/ Quick Sight focused on denials, collections, A/R
aging, write-offs, bad debt, payment posting, and reimbursement rates.
 Identify opportunities to streamline RCM workflows through process automation and predictive
analytics.
 Translate business needs into technical requirements, ensuring smooth execution of analytics
solutions
 Understand and analyze business metrics, extract relevant data, and create insightful visualizations
in Power BI, Tableau, or QuickSight.
 Convert and enhance existing Excel dashboards into Power BI, Tableau, or QuickSight, ensuring
accuracy, eiciency, and improved user experience.
 Work with large, complex datasets from multiple sources (AWS Redshift, Oracle, S3, SageMaker,
Excel, etc.) to extract actionable insights.
 Develop and optimize SQL queries, stored procedures, and data pipelines to improve data
processing.
 Identify, analyze, and correct data anomalies by reviewing reports, extracts, and performance
indicators.
 Work with various data sources, including Oracle, AWS Redshift, S3, Sage Maker, Excel
spreadsheets, copybooks, and Power BI.
 Collaborate with business stakeholders to gather and understand dashboard and reporting
requirements.
 Provide recommendations for the design and implementation of data collection systems, analytics
solutions, and strategic initiatives to enhance eiciency, improve quality, and align with business
objectives.
 Identify opportunities for process improvements by analyzing existing workflows, recognizing
Excel/manual reports suitable for automation, and implementing automated solutions.
 Prioritize business needs, translating them into data-driven insights and reports.
 Provide recommendations for optimizing reporting processes and enhancing data visualization
techniques.
 Responsible for regularly publishing scheduled reports and handling ad hoc reporting requests
from business leaders
Required Qualifications & Skills:
 8+ years of experience in data analytics, RCM reporting, and business intelligence, with at least 2
years in a leadership role.
 Strong domain expertise in RCM (US Healthcare) with hands-on experience in denials
management, collections, A/R aging, write-offs, payment posting, and payer performance
analytics.
 Advanced proficiency in SQL and database management.
 Expertise in Power BI, Tableau, or QuickSight for dashboard development and visualization.
 Strong understanding of cloud-based data solutions such as AWS Redshift, Snowflake, and
SageMaker.
 Experience in ETL/ELT processes, optimizing data ingestion and transformation workflows.
 Proven ability to lead and mentor a team of data analysts.
 Strong communication skills with experience in stakeholder engagement and cross-functional
collaboration.
 Experience in Python or R for advanced analytics is a plus

Job Summary:
We are seeking a Senior Associate - Data Analytics with expertise in Revenue Cycle Management (RCM)
within the US Healthcare industry. This role requires strong analytical, technical, and leadership skills to
drive data-driven decision-making in areas like denials management, collections, write-os, A/R
(Accounts Receivable), and reimbursement trends. The ideal candidate will be proficient in SQL, Power
BI/Tableau/QuickSight, ELT processes, and cloud-based data solutions while also possessing team
management, mentoring, and stakeholder engagement skills
Key Responsibilities:
 Analyze denial patterns, payer behavior, reimbursement trends, and collection efficiency to
improve financial performance.
 Provide root cause analysis for denials, underpayments, and delays in claims processing.
 Develop dashboards and reports in Power BI/ Quick Sight focused on denials, collections, A/R
aging, write-offs, bad debt, payment posting, and reimbursement rates.
 Identify opportunities to streamline RCM workflows through process automation and predictive
analytics.
 Translate business needs into technical requirements, ensuring smooth execution of analytics
solutions
 Understand and analyze business metrics, extract relevant data, and create insightful visualizations
in Power BI, Tableau, or QuickSight.
 Convert and enhance existing Excel dashboards into Power BI, Tableau, or QuickSight, ensuring
accuracy, eiciency, and improved user experience.
 Work with large, complex datasets from multiple sources (AWS Redshift, Oracle, S3, SageMaker,
Excel, etc.) to extract actionable insights.
 Develop and optimize SQL queries, stored procedures, and data pipelines to improve data
processing.
 Identify, analyze, and correct data anomalies by reviewing reports, extracts, and performance
indicators.
 Work with various data sources, including Oracle, AWS Redshift, S3, Sage Maker, Excel
spreadsheets, copybooks, and Power BI.
 Collaborate with business stakeholders to gather and understand dashboard and reporting
requirements.
 Provide recommendations for the design and implementation of data collection systems, analytics
solutions, and strategic initiatives to enhance eiciency, improve quality, and align with business
objectives.
 Identify opportunities for process improvements by analyzing existing workflows, recognizing
Excel/manual reports suitable for automation, and implementing automated solutions.
 Prioritize business needs, translating them into data-driven insights and reports.
 Provide recommendations for optimizing reporting processes and enhancing data visualization
techniques.
 Responsible for regularly publishing scheduled reports and handling ad hoc reporting requests
from business leaders
Required Qualifications & Skills:
 8+ years of experience in data analytics, RCM reporting, and business intelligence, with at least 2
years in a leadership role.
 Strong domain expertise in RCM (US Healthcare) with hands-on experience in denials
management, collections, A/R aging, write-offs, payment posting, and payer performance
analytics.
 Advanced proficiency in SQL and database management.
 Expertise in Power BI, Tableau, or QuickSight for dashboard development and visualization.
 Strong understanding of cloud-based data solutions such as AWS Redshift, Snowflake, and
SageMaker.
 Experience in ETL/ELT processes, optimizing data ingestion and transformation workflows.
 Proven ability to lead and mentor a team of data analysts.
 Strong communication skills with experience in stakeholder engagement and cross-functional
collaboration.
 Experience in Python or R for advanced analytics is a plus

Posting Category

Healthcare

Opportunity Type

Regular

Country

India