The Ronin Society helps founder‑led companies grow by giving them clear financial models, monthly visibility, and strategic decision support. We’re building a small, sharp cohort of 3 Analyst Apprentices to work directly with our lead analyst and strategist team. This is a paid, part‑time (10 hours/week), 3‑month apprenticeship designed for people early in their careers who want real‑world FP&A experience across multiple small/growing companies. If you’re detail‑oriented, technically sharp, and enjoy working with numbers and spreadsheets, this is for you. What You’ll Do You’ll join our Analyst Apprenticeship Program and support our team with: - Monthly financial close tasks for multiple clients - Updating financial models (we use a standardized model we’ll train you on) - Pulling, cleaning, and organizing data from bookkeeping systems (e.g., QuickBooks) - Running and checking basic reports (P&L, balance sheet, cash flow, KPIs) - Performing quality checks on models (QA: catching formula errors, inconsistencies, missing data) - Documenting your work clearly so the team can review and reuse it You’ll work under the guidance of our lead analyst (Mary) and senior strategist (Alex), with structured training and clear checklists. What You’ll Learn Over 3 months, you will: - See how FP&A is done for real founder‑led businesses (multiple industries) - Learn how to support a monthly close process in a consulting environment - Learn how to maintain and update driver‑based financial models - Get exposed to how strategy, forecasting, and financial planning come together - Build a portfolio of real work you can talk about in future roles At the end of the program, you’ll receive a certificate of completion from The Ronin Society, and our best apprentices may be: - Offered an extension / expanded role, or - Invited back for future part‑time analyst work as our client base grows Time & Compensation - Time commitment: 10 hours per week - Duration: 3 months (with potential extension) - Compensation: $40/hour (contractor)

• Manage data requests from the Pricing Operations team, balancing priority requests with ongoing workflows • Interpret request parameters, define analytical approaches, and determine appropriate data collection and validation processes • Analyze large data sets and deliver clear, insightful reporting that highlights findings, trends, and implications • Build and maintain pricing and comparison models, including cloud and AI pricing scenarios • Contribute new ideas, insights, and perspectives during team discussions and brainstorming sessions • Update, enhance, and maintain tools, templates, and documentation for team use • Lead and manage projects, keeping stakeholders aligned, focused, and moving toward deadlines • Collaborate cross‑functionally to understand system requirements and limitations, and optimize product and pricing setup • Communicate findings and recommendations effectively through presentations and written summaries

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Data Analyst who will turn raw data into insights that drive mission decisions, operational improvements, and AI-enabled capabilities. This role blends analytical rigor with creativity, identifying trends, communicating findings, and helping shape data-driven recommendations for leadership across complex programs. This role is remote supporting a Quantico, VA customer. Local candidates preferred. - Analyze mission and program data to identify trends, issues, and opportunities. - Generate dashboards, reports, and data visualizations to support leadership decision-making. - Work with data engineers to define data requirements and improve data quality. - Support AI readiness activities by assessing dataset completeness, usability, and patterns. - Translate complex findings into clear, mission-relevant insights. - Conduct baseline and post-implementation analysis to measure improvement. Qualifications - 1+ years of data analytics or quantitative analysis experience. - Strong proficiency with Excel, Power BI, Tableau, or similar tools. - Ability to analyze large datasets using SQL or scripting languages (Python preferred). - Strong communication and storytelling skills. - Secret clearance. Requirements - Experience with AI solution rollouts or cloud modernization efforts. - Familiarity with federal or regulated environments. - Knowledge of data governance or metadata management. Benefits - Health insurance - Paid leave - Retirement Application Deadline 3-13-2026

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Analyst will assist the Digital Strategy and Business Process Optimization (DS & BPO) department with day-to-day tasks around system implementation and maintenance, data management, data analytics, and ongoing upgrade support as well as any future implementation and integration activities. Position is full-time, up to 40 hours per week. - Develop and maintain key data and data design in SAP (Material Master, Bill of Materials, Recipes, Resource, Purchasing-Info Records and Warehousing) and associated systems - Manage and update key data as required within the systems including managing user access following applicable SOPs - Develop and implement data quality controls, reporting, and audits to uphold data accuracy, completeness, and consistency - Perform testing on data and access on at least a quarterly basis as required by the business - Support creation and migration activities by extracting, cleansing, loading, and validating master data across systems - Create and maintain Standard Operating Procedures (SOPs) and training materials - Ensure global data consistency and conformance to SOPs while managing master data updates due to process or system changes - Serve as a key member of the SAP Implementation Project Team during the greenfield site construction/startup phase - Contribute to global initiatives for Master Data Management, as required, and attend select Power User forums to share best practices with peers - Generate data analysis including metrics and Pareto analyses as requested by the business - Drive process improvement initiatives which could include developing process flows for setup of new materials, updating SOPs to improve efficiency, and leveraging appropriate tools/reports to track maintenance efforts, data accuracy, and data completeness - Troubleshoot SAP, system integrations, and surrounding systems issues, identify root causes, and implement solutions - Investigate deviations and provide impact assessments for change management - Maintain a safe workplace through proper ergonomic practices - Provide input and support on future phases of the digital strategy and implementation of new technologies - Maintain a state of compliance (learning plan, SOP adherence, etc.) - Additional duties and responsibilities as assigned Qualifications - BS Data Science, Computer Science, or related field with 1 – 3 years of relevant experience; or equivalent education and experience - Advanced proficiency with Excel (macros, advanced functions) and BI tools; programming experience in VBA or Python is an asset - Experience with SAP preferred - Strong analytical skills, exceptional attention to detail, and a commitment to maintaining clean, reliable data - Excellent communication and stakeholder management skills, with the ability to promote and influence data governance best practice - A proactive, continuous-improvement mindset with a focus on operational excellence and scalable data and analytics processes - Experience with life sciences data and/or manufacturing systems is a plus Company Description Esperion is a fully remote based company with a corporate headquarters located in Ann Arbor, MI. The Company offers a competitive salary including a performance-based bonus program and stock-based compensation, a comprehensive benefits package including a 401(k) matching plan and health insurance, and paid time off and holidays.