• Own analytical problem-solving within a core Mission (Acquire, Convert, or Retain), proactively identifying the highest-impact opportunities. • Translate ambiguous business goals into structured problem statements, hypotheses, and test plans. • Conduct deep-dive funnel analysis across marketing, sales, operations, product, and compliance systems. • Identify margin expansion, conversion optimization, and cost efficiency levers. • Partner with leaders across Growth, Sales, Marketing, Product, Engineering, Operations, and Agency teams to drive implementation — not just insights. • Design scalable experimentation and measurement frameworks (not one-off analyses). • Leverage AI tools to accelerate modeling, root-cause analysis, scenario planning, and operational automation. • Build and maintain analytical assets that inform executive decision-making. • Present clear, executive-ready recommendations tied to measurable business outcomes.

• Own, define, and guide the implementation of our data collection strategy and governance across all titles and platforms. • Design and specify a scalable, real-time pipeline for ingesting, processing, and analyzing gameplay and engagement events which will be built by the engineering team. • Build the models and specify the data platforms that translate raw player data into actionable insights for both humans (designers, producers) and machines (AI training and evaluation). • Design and own the company-wide experimentation frameworks that help us measure fun, engagement, and narrative effectiveness. • Partner with executive and creative leadership to identify trends in player behavior across distribution channels and surface strategic, high-level learnings that guide where and how we launch. • Shape how Wolf Games measures success — help us understand and act on the signals that capture what keeps players coming back. • Act as the strategic authority for all data systems, setting standards for code, tools, and infrastructure, and mentoring future team members as the team grows.

• Atuar no design, desenvolvimento e testes de aplicações web voltadas à sistematização de decisões; • Colaborar na evolução contínua das ferramentas existentes, incorporando feedback e novas tecnologias; • Garantir qualidade por meio de testes unitários, integração e ponta a ponta; • Contribuir para definição e implementação de arquitetura robusta; • Trabalhar com otimização de APIs, caching e melhoria de performance; • Participar do ciclo completo de desenvolvimento, incluindo implantação e manutenção;

Architect and build the decoupled semantic layer that powers RCM Intelligence — extracting metric definitions into a queryable format (MetricFlow/dbt Semantic Layer) that serves dashboards, natural language queries, and agentic systems from a single source of truth Design and develop metric frameworks and root cause analysis capabilities, including metric trees that decompose performance changes (e.g., why did metric X drop?) into their contributing factors — enabling clients and internal technical teams to self-serve answers that today require hours of analyst work Execute ambiguous, complex projects independently, proactively asking for help when needed, and translating client needs into structured analytical solutions Lead and execute sophisticated ad-hoc analyses using Python and SQL, then translate findings into scalable, parameterized data products that serve all clients rather than being rebuilt one-off Develop and optimize production data pipelines in dbt, ensuring consistent metric definitions and data quality across Cedar's Bronze → Silver → Gold architecture Serve as a thought partner to Technical Account Managers and Client Managers, using internal data products to surface proactive insights that strengthen client relationships and reduce reactive fire drills Partner with Data Engineers to implement robust infrastructure that supports the platform's analytical requirements and ensures scalability Present and communicate platform capabilities, analytical findings, and methodology to commercial stakeholders and clients — translating technical concepts for non-technical audiences Identify and advocate for opportunities to enhance Revenue Cycle Management Intelligence's impact, including features that reduce manual analyst work and increase client self-service Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.