Title: Data Analytics Lead Location: Remote United States Full time Job Description: WHO WE ARE We are PEAK6, a leading investment firm, using technology to find a better way of doing things. The company's first tech-based solution was developed in 1997 to optimize options trading, and over the past two decades, the same formula has been used across a range of industries, asset classes, and business stages to consistently deliver superior results. Today, PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6's core brands include PEAK6 Capital Management, PEAK6 Strategic Capital, Apex Fintech Solutions, FOCUS, We Insure, Evil Geniuses, Poker Power, Zogo, and Bruce Markets. ABOUT THIS ROLE The Lead, Data Analytics plays a critical role within FOCUS' Group's Data & Technology division, driving the strategic use of data to inform business decisions, improve operational efficiency, and enhance client outcomes. This senior individual contributor leads complex analytics initiatives, serves as a subject matter expert across data domains, and acts as a key liaison between data engineering, business stakeholders, and executive leadership. The ideal candidate is an analytically rigorous, business-savvy professional with deep expertise in insurance or financial services data environments. They excel at translating ambiguous business questions into structured analytical frameworks, mentoring junior analysts, and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced, collaborative environment and is passionate about harnessing data to drive meaningful outcomes. Position Summary Analytics Strategy & Insight Generation 30% - Design and lead end-to-end analytics projects addressing strategic business questions across underwriting, claims, distribution, and client experience. - Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets. - Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement. - Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity. - Synthesize findings into clear, compelling narratives for both technical and non-technical audiences. Data Modeling, Reporting & Visualization 30% - Architect and maintain scalable data models and pipelines in collaboration with data engineering teams. - Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Tableau, Power BI, Looker). - Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations. - Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer. - Evaluate and implement new analytics tools and technologies to improve team efficiency and capability. Stakeholder Collaboration & Business Partnership 25% - Partner with business leaders in Sales, Underwriting, Operations, and Finance to translate needs into analytical project plans. - Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables. - Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions. - Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization. - Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap. Team Leadership & Mentorship 15% - Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team. - Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines. - Champion a culture of data-driven decision-making and analytical rigor across the organization. - Contribute to hiring, onboarding, and professional development efforts within the analytics function. Education - Required: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field. - Preferred: Master's degree (MBA, MS in Data Science, Analytics, or related discipline). - Preferred: Relevant certifications such as Google Data Analytics, Tableau Desktop Specialist, or AWS Certified Data Analytics. Work Experience - Required: 6+ years of progressive experience in data analytics, business intelligence, or a related role, with at least 2 years in a lead or senior capacity. - Preferred: Experience in the insurance, financial services, or healthcare industry. - Preferred: Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses. - Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles. Knowledge, Skills & Abilities - Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows. - Expertise with BI and visualization tools such as Tableau, Power BI, or Looker. - Proven ability to build and communicate complex analyses to executive and non-technical audiences. - Strong understanding of data modeling, data warehousing concepts, and ETL processes. - Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment. - High emotional intelligence with demonstrated ability to influence without formal authority. - Knowledge of insurance products, terminology, and regulatory environment is a strong plus. Supervisory Responsibility This role does not carry formal supervisory responsibility. However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance, and project leadership to junior and mid-level analysts within the team. Working Conditions Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits. Work Hours: Standard business hours (Monday-Friday); occasional flexibility required to meet project deadlines or collaborate across time zones. OUR REWARDS We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. As a hybrid workforce, we offer our employees the ability to work remotely up to two days a week. PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.

• Manage a caseload of learners, building trusted relationships through high quality coaching, mentoring, and structured teaching. • Deliver engaging one to one sessions and workshops that make analytical concepts accessible, relevant, and practical. • Empower learners to think critically about data, challenge assumptions, and reflect on the implications of their analysis. • Create an inclusive, psychologically safe learning environment where learners feel confident asking questions, testing ideas, and learning from mistakes. • Support learners to develop core analytical skills, including data preparation, querying, analysis, modelling, and visualisation. • Coach learners to use tools such as Excel, Power BI, SQL, Python, and related platforms to generate meaningful insights. • Help learners interpret and communicate analysis clearly, linking insight to business questions and decisions. • Model integrity and professional judgement in how data is analysed, interpreted, and presented, including awareness of data quality, bias, and ethical considerations. • Guide learners through programme milestones, assessments, and portfolio development, ensuring consistent progress and timely completion. • Support learners to produce high quality, compliant evidence that genuinely reflects their analytical capability and workplace impact. • Engage constructively with learners’ line managers to align learning with organisational priorities and projects. • Take ownership for quality and compliance, balancing learner support with high standards and clear expectations. • Work collaboratively with colleagues across Operations, Product, and Curriculum to deliver a consistent and high-quality learner experience. • Proactively identify opportunities to improve delivery approaches, learner engagement, and outcomes. • Stay curious and committed to continuous development, keeping up to date with analytical tools, techniques, and best practice.

• Develop and implement payer analytics and economics strategies around provider rates. • Analyze behavioral health, physical health, and pharmacy data and rates using a variety of data sources and programs including but not limited to Excel, SQL, Access, etc. • Utilize industry trends and Medicaid fee schedules and data concepts to drive decision-making. • Prepare presentations and other collateral materials to support rate initiatives. • Participate in rates process improvement projects. • Provide technical training and support to team members.

Role Description La DGAMPA développe une capacité de valorisation de ses données maritimes, pêche et aquaculture au profit de ses bureaux métiers, partenaires administratifs et privés qui débute par la mise en place d'une solution d'exploration, d'analyse et de visualisation de données 360°. Le Data Scientist devra fournir un appui analytique pour l'exploration et l'analyse complexe des données, créant des algorithmes pour identifier et exploiter les données utiles. Au sein de l'équipe Innovation et data, vos missions principales seront : - Participer à l'analyse des besoins métier en matière de données - Réaliser des analyses de données et restitutions sous forme de tableaux de bords, extractions de données brutes, en utilisant les outils de valorisation, de datavisualisation et de restitution du service (Grist, Superset, entre autres) - Participer à des projets data, en incluant des projets innovants de datascience - Assurer l'administration fonctionnelle des outils d'analyses permettant de valoriser les données du service - Réaliser les tableaux de bord et les indicateurs de suivi de l'activité du pôle - Participer à la construction d'une infrastructure de traitements évolués de données multi-sources, dans un contexte Big Data - Concevoir des cas d'usage informatique répondant aux problématiques métier faisant intervenir les technologies de l'intelligence artificielle (classification, détection, corrélation, analyse massive, apprentissage automatique) et de data visualisation modernes - Développer des partenariats en science de la donnée avec des entités ministérielles et interministérielles, ainsi que des prestataires externes incluant des écoles spécialisées dans le domaine Assistance aux usagers : - Assister les usagers du SI des affaires maritimes Positionnement dans la structure : - Poste rattaché à la Cheffe du pôle de l'Innovation et la Data (BSIID) Relations internes (à la DGAMPA) : - Avec les maîtrises d'oeuvre des applications (architectures applicatives, expertise technique) - Avec les maîtrises d'ouvrage des applications - Avec les autorités de sécurité (RSSI, ASSI) - Avec les agents SDTNUM Relations externes : - Avec les services déconcentrés - Avec les partenaires institutionnels de la DGAMPA Qualifications - Data scientist confirmé - Diplôme scientifique de spécialité informatique de niveau 7 RNCP Requirements - Connaissance des outils et techniques de collecte, de gestion et d'analyse de données - Solides connaissances en science de la donnée et en SI décisionnel - Maîtrise des présentations graphiques à partir des logiciels de traitement de données et de cartographie (Data Visualisation : Grist, Superset et Digdash, Vue.js) - Maîtrise des langages de gestion des données (SQL, python, ETL Talend) Benefits - Savoir écouter et formaliser les demandes d'assistance, en assurer le suivi et le rendu compte - Savoir gérer des situations d'urgence - Savoir animer des actions de formation et d'information - Autonome, curieux et à l'aise avec les méthodologies de conduite de projets agiles - Capacité à s'intégrer dans un travail en équipe Éléments de candidature Documents à transmettre : - Envoi du CV et d'une lettre de motivation est obligatoire Personnes à contacter : - stephane.bellec@developpement-durable.gouv.fr - Yoelma.rodriguez-d@developpement-durable.gouv.fr