Title: Data Analyst Remote Finance Full time Location : - United States - Jackson, Wyoming, United States - Salt Lake City, Utah, United States - Denver, Colorado, United States Job Description: ABOUT US Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations. We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly. We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process. You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook. We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES - Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings. - Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work. - Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day. - Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means. - Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy. - Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business. - Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve. - Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work. - Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side. YOUR SKILLS AND EXPERIENCE - 3+ years of professional experience as a data analyst, analytics engineer, or similar role - Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off - Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like - Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar) - Version control with Git/GitHub as part of your normal workflow - Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar) - A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy - History of building collaborative, trusting relationships with non-technical stakeholders - Comfort presenting findings to leadership verbally, in writing, and visually PREFERRED ADDITIONAL SKILLS AND EXPERIENCE Though not required, we would consider the following as an added plus: - Working knowledge of Python and/or R for analysis - Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) - Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo - Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company - Experience working in a small or solo data team where you owned the work end-to-end THE FINE PRINT - Must be able to work in a stationary position 50% - 75% of the work day - Medical, Dental Vision plans - Company Paid Long Term Disability - Employee Assistance Programs - 401k with Match - Generous paid time off policies - Gear test, perks and more We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications. This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Role Description Responsável por coletar, limpar e analisar dados para fornecer insights que impulsionem decisões estratégicas. - Utiliza ferramentas de ETL para integrar dados de várias fontes. - Aplica análises estatísticas para identificar padrões. - Criando visualizações claras e informativas usando ferramentas de Business Intelligence (BI). - Transforma dados complexos em gráficos, dashboards e relatórios detalhados e compreensíveis. - Colabora com equipes para entender as necessidades específicas de análise. - Utiliza ferramentas como Tableau, Power BI ou QlikView para criar visualizações interativas que facilitam a interpretação dos dados e suportam a tomada de decisões estratégicas na organização. Qualifications - Diploma de bacharelado em Ciência da Computação, Engenharia de Software, Sistemas de Informação, Tecnologia da Informação ou áreas afins. - Experiência prática consolidada em projetos de análise de dados, desenvolvendo soluções de modelagem da dados e visualização de dados para apoio ao negócio. Requirements - Pós-graduação ou MBA em Gestão da Informação, Gestão de Dados, ou Governança de TI. - Certificações na área de governança de dados, como: - Certified Data Management Professional (CDMP) da DAMA International. - Certified Information Management Professional (CIMP) da eLearningCurve. Benefits - Ambiente Inovador: Aqui você trabalha com um time diverso e colaborativo, que valoriza o seu conhecimento e incentiva seu crescimento. - Desenvolvimento Contínuo: Oferecemos treinamentos, certificações e programas de capacitação para você evoluir sempre. - Impacto Real: Atuamos em projetos estratégicos que transformam empresas e entregam resultados concretos. - Cultura que acolhe: Valorizamos a diversidade como parte da nossa cultura e acreditamos que a inovação nasce das diferenças.

• Recogida de requerimientos con negocio y traducción a soluciones analíticas. • Diseño y definición del modelo físico de datos. • Desarrollo y mantenimiento de la capa semántica en MicroStrategy. • Creación de informes, dashboards y Dossiers interactivos. • Desarrollo y soporte en soluciones de autoservicio guiado (self-service BI). • Administración operativa de la plataforma MicroStrategy (últimas versiones). • Formación y acompañamiento a usuarios finales para impulsar la adopción de la herramienta.

Role Description Milliman’s Health Research Team (HRT) is seeking an experienced and driven Data Analytics Manager. In this role, you will lead a high-performing team of 2–4 data analysts, overseeing all phases of data production with a strong emphasis on data quality, accuracy, and timeliness. The Manager will play a critical role in driving product development deliverables and supporting internal deliverables for client and research projects. This position reports to the Senior Manager, Data Engineering and Analytics. This role is based out of the Milliman office in Chicago, IL, but candidates hired into this role may work remotely anywhere in the US or in the office on a weekly basis with flexible work arrangements. Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Job Responsibilities - Team Leadership & Management - Lead, mentor, and develop a team of 2–4 data analysts, fostering a collaborative and high-performance work environment. - Set clear goals and priorities for the team, ensuring timely and accurate delivery of all assigned work. - Conduct regular one-on-ones, performance reviews, and professional development planning for direct reports. - Manage workload distribution across the team to balance competing priorities and deadlines. - Partner with the PMO team to develop comprehensive project plans, define and document key deliverables, and provide clear, timely project status updates to senior leadership. - Data Quality Analysis - Own and oversee the data quality analysis phase across all data production workflows, ensuring data meets established standards before downstream use. - Develop, document, and continuously improve data quality frameworks, checklists, and standard operating procedures. - Identify, investigate, and resolve data anomalies, discrepancies, and quality issues in health claims and enrollment data. - Partner with project managers, ETL developers and data engineers to communicate data quality findings and support remediation efforts. - Establish and maintain data quality metrics, scorecards, and dashboards to monitor ongoing pipeline performance and communicate findings to stakeholders at all levels. - Product Development Deliverables - Lead the team in producing product development deliverables on schedule and to specification. - Collaborate with senior analysts, actuaries, and health consultants to ensure deliverables align with methodological and business requirements. - Review and validate team output prior to submission, ensuring accuracy, completeness, and consistency. - Client & Research Project Support - Support internal deliverables for client-facing and research projects, coordinating with project leads to understand requirements and timelines. - Assist in the preparation of data summaries, analytical outputs, and supporting documentation for internal and external stakeholders. - Ensure all project deliverables meet data governance, compliance, and contractual requirements. - Process Improvement & Innovation - Proactively identify opportunities to streamline and automate data quality and production workflows, reducing manual effort and improving efficiency. - Implement best practices for quality assurance and testing, including QAT and UAT support. - Stay current with emerging tools, technologies, and methodologies relevant to health data analytics, recommending and championing improvements where appropriate. - Collaborate with HRT finance, operations, and project management teammates through providing technical and healthcare data expertise to support cross-functional initiatives. Qualifications - Bachelor's or Master's degree in Mathematics, Statistics, Actuarial Science, Public Health, Computer Science, or a related quantitative field. - 4+ years of experience analyzing large databases of health claims and enrollment data (e.g., administrative/closed claims data). - 2+ years of experience in a lead or supervisory role, with demonstrated ability to manage and develop analytical talent. - 2+ years of experience performing or overseeing data quality analysis in a production data environment. - Demonstrated proficiency in multiple health care data analytics topics, including but not limited to pricing, provider contracting, Medicare Advantage bids, risk scores, clinical quality, health care economics, reserving, or financial reporting. - Robust business acumen across at least two healthcare lines of business, such as Individual, Employer Group, Medicare, Part D, Medicaid, or Dental. - Advanced proficiency in SQL for data querying, validation, and analysis. - Hands-on experience with Python, SAS, or R for data analysis and workflow automation. - Proficiency in Excel, including advanced formulas, pivot tables, and data validation techniques. - Solid understanding of ETL pipelines, data warehousing concepts, and data governance best practices. - Exceptional attention to detail with an unwavering commitment to data accuracy and integrity. - Excellent organizational and project management skills, with the ability to manage competing priorities in a fast-paced environment. - Travel to Milliman’s Chicago office for three consecutive days each quarter is required. Benefits - Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners. - Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges. - 401(k) Plan – Includes a company matching program and profit-sharing contributions. - Discretionary Bonus Program – Recognizing employee contributions. - Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses. - Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. - Holidays – A minimum of 10 observed holidays per year. - Family Building Benefits – Includes adoption and fertility assistance. - Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria. - Life Insurance & AD&D – 100% of premiums covered by Milliman. - Short-Term and Long-Term Disability – Fully paid by Milliman.