• 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

• Combining, cleansing, and managing data from various sources • Identifying trends and patterns in complex datasets, including exploratory data analysis (EDA) • Building and creating efficiencies using statistical, database and/or general program languages and tools to meet specific business needs • Producing dashboards, including graphs, tables, and other visualizations • Developing in-depth knowledge of insurance operations and programs to better understand the business needs and drivers and to help make recommendations • Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data • Consulting with internal teams to determine their business needs, and to find solutions for them • Actively working to identify improvements to internal & external processes, including automation • Summarizing and presenting data analysis results for management, including creating presentation decks using PowerPoint (or similar)

Role Description In this role, you will review and analyze medical and pharmacy claims data to identify high risks and help optimize the underwriting process. You will create, analyze, and provide claim overviews to underwriters, nurses, and management. What you will do - Data reporting, analytics, and mining. - Coordinate with relevant departments to determine areas for analysis and the appropriate metrics to use for ensuring data analysis is useful. - Leverage clinical expertise and system data manipulation skills to review large, complex reports and identify individuals with potentially catastrophic claims. - Prepare “Shock Claims Summaries” - Review underwriting group reports to identify and extract data corresponding to individuals diagnosed with potentially catastrophic conditions and present to Underwriting. - Customize report review guidelines - Create, document, update and publish step-by-step guidelines crafted to facilitate the consistent review of underwriting reports (e.g., UHC, Aetna, Cigna, BCBS Plans, etc.). - Interact with Underwriting and Medical Risk Consultants to discuss significant risk findings on new and renewal business experience reports. - Work on special assignments or projects as requested. Qualifications - Certified Coding Specialist (CCS), Certified Coding Specialist – Physician-Based (CCS-P), Certified Professional Coder-Payer (CPC-P), or Registered Health Information Administrator (RHIA) required. - Must have completed and passed a formal medical coding education program. - Associate degree in Health Management or Health Information Management required. - 3-5 years’ experience in a remote setting that is related to medical coding, healthcare (hospital, managed care, medical group) analytic or reporting environment required. - Technical aptitude including proficiency with the MS Office Suite of applications and intermediate to advanced Excel skills. - Connexure (David Young/ESL) experience a plus. - Data manipulation, analysis, and interpretation skills. - Critical thinking and problem-solving skills. - High attention-to-detail. - Able to prioritize, effectively manage time and meet deadlines. - Comfortable working independently and collaborating in groups. - Excellent written and verbal communications skills. - Demonstrated experience working effectively in a virtual environment. - Experience in first dollar medical claims and case management preferred. - Experience in group medical insurance, Excess Loss or as a Reinsurance Licensed Practical Nurse, Certified Medical Assistant, or other healthcare equivalent preferred. - Some minimal travel preferred. Benefits - Flexible full-time or hybrid telecommuting arrangements. - Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6%. - Paid time away including vacation and sick time, flex days and ten paid holidays. - Give back to your community and double your impact through our company matching. Company Description Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In our daily work, we're guided by the principles of Value, Transparency and Sustainability. - We provide products and services people need at a competitive price. - We communicate clearly and openly so people understand what they're buying. - We design products--and operate our company--to stand the test of time. - We're committed to showing up for our communities, lifting up our employees, and standing up for diversity, equity and inclusion (DEI).

Role Description We are seeking a highly analytical, business-oriented, and technically strong Senior Data Analyst to support data-driven decision-making across a fast-growing e-commerce subscription business. This role is ideal for someone who thrives at the intersection of analytics, experimentation, business strategy, and data storytelling. The ideal candidate has strong experience within e-commerce environments, particularly subscription-based business models, and is comfortable working cross-functionally with Product, Marketing, Merchandising, and Engineering teams. You will play a key role in shaping growth, retention, acquisition, personalization, and customer experience strategies by leveraging advanced analytics, experimentation, forecasting, and automation. This is a high-impact role where your insights will directly influence business performance and strategic initiatives. Key Responsibilities - Data Analysis & Business Intelligence - Build and maintain dashboards, reports, and ad hoc analyses - Use tools such as Tableau, Snowflake, SQL, and Python - Deliver actionable insights to support business growth and customer experience optimization - Analyze customer behavior, subscription performance, retention trends, and acquisition funnels - Monitor and improve key e-commerce and subscription-related KPIs - Advanced Analytics & Experimentation - Lead hypothesis testing, A/B testing, regression analysis, and forecasting initiatives - Support personalization, retention, and growth strategies through advanced statistical analysis - Identify trends, opportunities, and performance drivers through data exploration - Translate analytical findings into business recommendations - Data Automation & Quality Monitoring - Develop and maintain SQL/Python-based workflows and automation tools - Support real-time data quality monitoring and process optimization - Work with tools such as Airflow, dbt, and Snowflake - Help improve reporting efficiency, data integrity, and analytics scalability - Cross-Functional Collaboration - Partner closely with Marketing, Product, Merchandising, and Engineering teams - Translate business requirements into scalable analytical solutions - Support strategic initiatives through data modeling and reporting - Present insights and recommendations to both technical and non-technical stakeholders - Data Storytelling & Strategic Insights - Convert complex datasets into clear, compelling business narratives - Create executive-level reports and presentations - Help leadership teams understand trends, risks, opportunities, and customer behavior patterns - Support data-informed decision-making across the organization Qualifications - Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Analytics, or related quantitative field - 4+ years of experience in data analytics or business intelligence roles - 2+ years of experience providing technical guidance or leadership to teams - Previous experience within e-commerce and subscription-based business models is strongly preferred - Advanced proficiency with Tableau, Snowflake, SQL, and Python or R - Strong understanding of statistical analysis, forecasting, experimental design, and data modeling - Ability to communicate technical findings to mixed technical and business audiences - Strong problem-solving and analytical thinking skills - Excellent communication and presentation abilities Requirements - Experience with machine learning, predictive analytics, and advanced experimentation frameworks - Deep understanding of e-commerce KPIs, subscription metrics, retention strategies, and personalization methodologies - Experience building scalable analytics workflows in modern cloud environments What We’re Looking For - Highly analytical and business-minded professional - Strong ownership mentality and curiosity-driven mindset - Ability to operate independently in fast-paced environments - Excellent communication and stakeholder management skills - Someone passionate about transforming data into strategic business impact - Strong collaborator who enjoys solving complex business problems through analytics What Success Looks Like - Data insights directly influence growth and retention strategies - Dashboards and reporting systems remain accurate, scalable, and actionable - Business teams gain clear visibility into customer behavior and performance trends - Experiments and analytical initiatives drive measurable business impact - Leadership teams receive clear, data-driven strategic recommendations - Analytics workflows become increasingly automated and efficient Benefits - Fully remote opportunity within a fast-growing e-commerce environment - Exposure to advanced analytics, experimentation, and personalization initiatives - Collaborative and data-driven culture - Opportunity to work cross-functionally with high-impact teams - Strong visibility and influence on strategic business decisions - Long-term growth opportunities within analytics and business intelligence