Multi-disciplinary data professional who enjoys solving Healthcare analytics
problems.
Strong understanding of the U.S. Healthcare value chain (Payer and/or Provider).
Experience working with healthcare data including claims, eligibility, risk
adjustment, utilization, and quality metrics.
Ability to derive meaningful and actionable insights from structured and
semi-structured healthcare datasets.
Strong analytical mindset with ability to connect data findings to business
outcomes.
Experience working in Agile (SCRUM) environments and iterative delivery cycles.
Ability to work on multiple reporting initiatives simultaneously.
Strong stakeholder communication skills – capable of presenting insights to both
technical and non-technical audiences.
Experience optimizing Power BI datasets and SQL queries for performance and
scalability.
Quick learner with strong problem-solving skills and attention to detail.
Base Pay Range: $60,100 - $98,700
For more information on benefits and what we offer please visit us at
https://www.exlservice.com/us-careers-and-benefits
RESPONSIBILITIES
Design, develop, and maintain Power BI dashboards and SSRS reports to support
operational and strategic decision-making and data transformations with
Python.
Translate business requirements into data models, KPIs, and visualizations
that drive actionable insights.
Perform exploratory data analysis (EDA) to uncover trends, patterns, and
performance improvement opportunities.
Develop scalable data models and datasets optimized for reporting and
analytics consumption.
Ensure data quality, integrity, governance, and security compliance in
reporting solutions.
Collaborate with cross-functional teams to gather requirements and deliver
analytics solutions aligned to business objectives.
Monitor, maintain, and enhance existing dashboards to improve performance and
usability.
Provide analytical support for operational reviews, client discussions, and
executive reporting.
Support production issues related to data discrepancies, report failures, and
performance bottlenecks.
Collaborate with Product, Engineering, Client Services, and Operations teams
for data requirements and reporting needs.
Share knowledge and best practices around analytics, dashboard design, and
data governance.
Proactively contribute to improving internal analytics frameworks and
reusable reporting assets.
Support leadership with ad-hoc analysis and executive-ready reporting
materials.
Communicate with onshore stakeholders and clients regarding reporting
requirements and analytics outputs.
Participate in client discussions to clarify data definitions, KPIs, and
reporting expectations.
Act as a bridge between business stakeholders and technology teams for
analytics delivery
QUALIFICATIONS
4–6 years of experience in data analytics, business intelligence, and
reporting within enterprise environments.
Strong hands-on experience in SQL for complex querying, data transformation,
performance tuning, and optimization.
Proficient in Python for data analysis, data manipulation, and automation.
Bachelor's degree in Math, Statistics, or related field required
Required Skills:
Advanced SQL (CTEs, Window Functions, Query Optimization, Stored Procedures)
Python (Pandas, NumPy, PySpark)
Power BI
Data Warehousing Concepts & Dimensional Modeling
ETL/ELT pipeline understanding
Strong knowledge of data governance, data quality, and security best
practices
Experience working with large healthcare datasets
Version control tools (Git preferred)
Experience with Cloud Platforms (Azure preferred)
Skills Nice to Have:
Experience or certifications in Azure Data / Databricks
Experience with Healthcare interoperability standards (HL7, FHIR)
Exposure to Risk Adjustment models (CMS-HCC)
Knowledge of Snowflake or other modern cloud data warehouses
Experience with advanced analytics or predictive modeling
Business Domain Knowledge:
Medicare Risk Adjustment. CMS payment models
US Healthcare Insurance & Payer Analytics
Population Health Analytics & Risk Management
Payer Management & Code Classification Management
Utilization & Cost Management
The posted base salary range is the hiring base salary range for this role.
Final offers are based on several factors, including: the candidate's skills and
experience, internal pay equity, work location, market conditions for the role,
and the specific scope and responsibilities of the position.
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and
solutions company. We partner with clients using a data and AI-led approach to
reinvent business models, drive better business outcomes and unlock growth with
speed. EXL harnesses the power of data, analytics, AI, and deep industry
knowledge to transform operations for the world’s leading corporations in
industries including insurance, healthcare, banking and financial services,
media and retail, among others. EXL was founded in 1999 with the core values of
innovation, collaboration, excellence, integrity and respect. We are
headquartered in New York and have more than 54,000 employees spanning six
continents. For more information, visit www.exlservice.com
[http://www.exlservice.com/].
EXL never requires or asks for fees/payments or credit card or bank details
during any phase of the recruitment or hiring process and has not authorized any
agencies or partners to collect any fee or payment from prospective candidates.
EXL will only extend a job offer after a candidate has gone through a formal
interview process with members of EXL’s Human Resources team, as well as our
hiring managers.
EXL is the indispensable partner for leading businesses in data-led industries
such as insurance, banking and financial services, healthcare, retail and
logistics. We bring a unique combination of data, advanced analytics, digital
technology and industry expertise to help our clients turn data into insights,
streamline operations, improve customer experience, and transform their
business. Our partnerships with clients are built on a foundation of
collaboration – and we’ve been chosen as a partner by nine of the top ten
leading US insurance companies, nine of the top 20 global banks, and six of the
top ten US health care payers. We function as one team to make your goals our
goals, whether that’s unlocking the value of generative AI or embedding
analytics into workflows that reduce risk or power your growth. Clients choose
EXL as their transformation partner for many reasons. Our geographic diversity
make talent all over the world instantly accessible. Digital accelerators enable
unmatched speed-to-value, letting you realize results fast. It’s our people that
truly set us apart, though, including the 1,500 data scientists we have
dedicated to our generative AI practice. And our more than twenty years of
experience in delivering business services, garnering stellar client references,
and maintaining a solid balance sheet are reassuring to our C-suite clients.
Find out for yourself why clients, employees, and analysts think we’re some of
the best in the business. Contact us to see how we can help you achieve your
goals.