Data Analyst
At a glance
Mid-level Data Analysis & BI role at Fa Ewjt Saasfaprod1. United States · full-time · $60,100–$98,700 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build Power BI dashboards and SSRS reports, using Python transformations to support operational and strategic decisions
- Turn business needs into data models, KPIs and visualizations, then investigate datasets for trends and improvement opportunities
- Maintain reporting datasets and dashboards, improving performance while protecting data quality, governance and security
- Work with business and technology teams to clarify reporting needs, resolve data issues and deliver analytics
- Prepare operational reviews, client discussions and executive reporting, including ad-hoc analysis
What you bring
- You have four to six years in enterprise data analytics, business intelligence and reporting
- You hold a bachelor's degree in mathematics, statistics or a related field
- You bring advanced SQL skills and practical Python experience for analysis, data shaping and automation
- You have worked with large healthcare datasets and understand payer or provider operations and healthcare metrics
Who this fits
This mid-level role suits an analyst who can connect healthcare data findings to business outcomes and explain results to technical and non-technical audiences. You should be comfortable balancing several reporting efforts in Agile delivery cycles and discussing requirements with clients and onshore stakeholders.
From the employer
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
- 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
- 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.
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