Data Analyst

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Logo of eSimplicity

eSimplicity

51 - 200 employees

Founded 2016

⚕️ Healthcare Insurance

📡 Telecommunications

🤖 Artificial Intelligence

Healthcare Insurance • Telecommunications • Artificial Intelligence

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Analyzing structured and unstructured data from MESH and integrated CMS systems (MBES, MacFin, T-MSIS, SPoTT, CMCS DataConnect) to surface insights about state Medicaid program funding, performance, compliance, and modernization • Designing, building, and maintaining interactive dashboards and reports in Power BI and Salesforce reports/dashboards that consolidate financial, operational, certification, and compliance data into a single workspace for CMS reviewers and leadership • Supporting Master Detailed Budget Table (MDBT) modernization by reconciling and validating historical and current MDBT data, including line-item mapping across legacy and current formats and verification of total computable, state-share, and federal-share calculations • Profiling and validating data ingested from spreadsheets (Excel, CSV), documents (PDF, Word), APIs, and enterprise datasets to ensure accuracy, completeness, and alignment with CMS data-governance standards • Translating CMS reviewer and leadership questions into well-defined analytic requirements, data queries, and visualizations; iteratively refining outputs based on stakeholder feedback • Documenting data lineage, business definitions, calculation logic, and dashboard methodology in the MESH knowledge base and Confluence to support transparency and auditability • Partnering with engineering to define data-quality rules, anomaly detection criteria, and automated reconciliation logic that flag funding decreases, mismatched FFP rates, and other discrepancies • Producing ad-hoc data extracts, briefings, and analyses for CMS leadership in support of Congressional inquiries, audits, briefings, and policy decisions, often on short turnaround • Supporting Section 508 compliance for all dashboards, reports, and visualizations including color-contrast, alternative text, and assistive-technology compatibility • Collaborating with the AI/ML team to validate AI-generated submission analysis outputs, monitor model drift, and confirm explainability of recommendations presented to CMS reviewers • Participating in agile ceremonies, contributing user stories and acceptance criteria for analytics and reporting features, and demonstrating completed work to CMS Product Owners • Maintaining clear, current documentation of dashboards, KPIs, and methodologies to enable hand-off and continuity in line with CMS transition requirements

🎯 Requirements

• All candidates must pass public trust clearance through the U.S. Federal Government. • 4-7 years of hands-on data analysis experience supporting enterprise systems, including profiling, validation, transformation, and visualization • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Information Systems, Public Health, Public Policy, Business, or related field; in lieu of a degree, 6 years of related analytical experience may be substituted • Strong proficiency in SQL and at least one scripting language (Python or R) for data wrangling and analysis • Hands-on experience building dashboards and reports in Power BI; familiarity with Salesforce reports, dashboards, and report types • Experience working with mixed-modality data (Excel/CSV, PDFs, Word documents, APIs, enterprise datasets) and consolidating them into a single analytic view • Strong attention to detail and ability to validate financial and operational calculations end-to-end • Experience working in agile environments and using Atlassian Jira and Confluence • Strong written and verbal communication skills, with the ability to present complex findings clearly to non-technical leadership audiences.

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) retirement benefits • paid time off • paid holidays • life and disability insurance • additional wellness and employee support programs

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