Data Analyst

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $60.1k - $98.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Design, develop, and maintain Power BI dashboards and SSRS reports for operational and strategic decision-making • Perform data transformations with Python • Translate business requirements into data models, KPIs, and visualizations • Perform exploratory data analysis to uncover trends, patterns, and 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 for performance and usability • Provide analytical support for operational reviews, client discussions, and executive reporting • Support production issues involving data discrepancies, report failures, and performance bottlenecks • Collaborate with Product, Engineering, Client Services, and Operations teams on data requirements and reporting needs • Share analytics, dashboard design, and data governance best practices • Improve internal analytics frameworks and reusable reporting assets • Support leadership with ad-hoc analysis and executive-ready reporting materials • Communicate with onshore stakeholders and clients about reporting requirements and analytics outputs • Participate in client discussions to clarify data definitions, KPIs, and reporting expectations • Bridge business stakeholders and technology teams for analytics delivery

🎯 Requirements

• 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 • Advanced SQL, including CTEs, window functions, query optimization, and stored procedures • Python experience with Pandas, NumPy, and PySpark • Power BI • Data warehousing concepts and 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 • 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 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 • Skills nice to have: Azure Data/Databricks certifications, HL7/FHIR, CMS-HCC risk adjustment models, Snowflake or other modern cloud data warehouses, advanced analytics or predictive modeling

🏖️ Benefits

• Base salary range of $60,100–$98,700 • Benefits information provided at https://www.exlservice.com/us-careers-and-benefits • Work From Home arrangement