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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Our mission at HubSpot is to help millions of organizations grow better. The GTM Value Strategy & Operations team, part of the Customer Success Strategy & Operations (CSSO) organization, builds the systems that connect product outcomes to business impact. We’re designing the HubSpot Value Engine—a unified, cross-functional infrastructure that quantifies and proves the ROI our customers achieve with HubSpot. By aligning Marketing, Sales, and Customer Success around a single value framework, this team turns customer data into verified, repeatable, and scalable proof points that drive retention, expansion, and trust. As a Lead Data Analyst, you will architect the data models, benchmarks, and value frameworks that power this system. You’ll collaborate across RevOps, Product, and Data Engineering to define how customer outcomes are measured, quantified, and communicated across the entire GTM motion. This role combines deep analytical rigor with business storytelling—ensuring HubSpot’s value is not just delivered, but demonstrably proven. What You’ll Do - Build and scale HubSpot’s Value Analytics infrastructure, translating customer usage and outcomes data into verified business value benchmarks that guide our GTM strategy. - Develop and maintain ROI, TCO, and outcome models that quantify measurable impact across the customer lifecycle—from acquisition through renewal. - Design and operationalize the HubSpot Value Methodology, standardizing how Marketing, Sales, and Customer Success define, measure, and prove customer outcomes. - Partner with Data Engineering and Product Analytics to establish a single source of truth for value data, creating reproducible and auditable pipelines that tie product usage to business results. - Lead analytical investigations into customer performance trends, uncovering the drivers of retention, adoption, and expansion. - Create frameworks and dashboards that enable executives to see how HubSpot products deliver quantifiable time savings, conversion lift, and revenue acceleration. - Act as a thought leader and mentor within the Operations Analytics community—setting analytical standards, advocating for data governance improvements, and scaling AI-driven insights. - Collaborate cross-functionally with Marketing, Sales, Product, and Customer Success to ensure value metrics are consistently applied across the GTM flywheel. Qualifications - Academic or professional experience with a heavy quantitative, analytical focus. - 5+ years of experience using data to drive measurable business outcomes, ideally within SaaS or GTM Strategy/RevOps functions. - Proven track record influencing senior and cross-functional stakeholders, including executive (C-level) audiences. - Deep expertise in SQL, data modeling, and ETL design; experience managing enterprise-scale data environments. - Proficiency with R or Python for advanced analytics, forecasting, and statistical modeling. - Familiarity with BI platforms such as Looker or Hex. - Exceptional communication and data storytelling skills—able to translate complex analysis into clear narratives and business impact. - A proactive, ownership-oriented mindset with curiosity for uncovering insights and shaping strategic decisions. Requirements - Experience building ROI or TCO models, value benchmarking frameworks, or verified outcomes programs. - Experience integrating AI/ML to automate analytics workflows and elevate insight generation. - Knowledge of customer lifecycle metrics (activation, usage, retention). - Prior work with GTM, Value Engineering, or Customer Success Strategy teams. - Startup experience is highly valued. Benefits - Annual Cash Compensation Range: $136,000 — $204,000 USD. - Equity plan to receive restricted stock units (RSUs) for eligible roles. - Flexible work environment with options for remote work. - Comprehensive benefits package to support employee growth.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Provides senior level analyst support for advanced provider data management (PDM) activities including analyzing business processes related to PDM, identifying areas for improvement, and developing and implementing solutions to optimize performance. Ensures accurate and timely maintenance of critical provider information for all provider databases, and application of business rules as it pertains to contracting, network management and credentialing. - Provides first-level triage and support for provider data management (PDM) analysts, and assists with fielding general questions. - Leads cross-functional projects from initiation to completion - ensuring adherence to timelines and quality standards. - Collaborates with stakeholders to understand business objectives and gather requirements, and translate accordingly into comprehensive business and functional specifications. - Analyzes complex health care data sets to identify trends, patterns and insights that drive informed decision-making and process improvements. - Evaluates existing workflows, procedures, and systems to identify inefficiencies and opportunities for optimization - proposes and implements innovative solutions. - Establishes and maintains strong relationships with key stakeholders, ensuring alignment and collaboration across departments. - Develops presentations to communicate key metrics, performance indicators and actionable insights to stakeholders at all levels of the organization. - Provides training, support, and guidance to end-users on new processes, systems and tools - ensuring smooth implementation and adoption. Qualifications - At least 4 years of business analytics experience in health care, preferably in a customer/provider services setting, or equivalent combination of relevant education and experience. - Proficiency in data analysis tools and techniques. - Presentation and interpersonal skills, and ability to interact effectively with stakeholders at all levels. - Critical-thinking skills, and attention to detail. - Organizational and time-management skills; ability to manage simultaneous projects and tasks to meet internal deadlines. - Effective verbal and written communication skills. - Microsoft Office suite (including Excel) and applicable software program(s) proficiency. Company Description Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.