Role Description The Data Scientist / Power BI Analyst will play a key role in transforming organisational data into actionable insight, developing business intelligence solutions, and supporting key enterprise systems including IFS. Key Duties and responsibilities: - Data Analytics & Modelling: - Develop high-quality data models using Power BI Desktop and Power Query. - Build interactive dashboards and reports informed by best practices such as semantic modelling and star schema design. - Perform statistical analysis, data mining, and predictive modelling. - Power BI Platform Ownership: - Create, maintain, and optimise Power BI datasets, dataflows, and scheduled refreshes. - Manage secure access, workspace permissions, and sharing practices. - Business Systems Reporting & Support: - Work with data structures including views, tables, and custom fields. - Use debugging, view extraction and data modelling workflows to source and model operational data. - Provide second-line functional support for IFS as required. - System Support & Integration: - Provide general system support across enterprise applications. - Assist with configuration, system documentation, user training, and adoption sessions. - Cross-Functional Collaboration: - Work with finance, supply chain, operations and commercial teams to translate business requirements into technical solutions. - Support change management and continuous improvement initiatives. Qualifications - Strong analytical and problem-solving skills and the ability to analyse complex data requirements and design effective solutions. - Detail-oriented with meticulous attention to detail to ensure data accuracy and integrity. - A creative and innovative thinker who can develop new solutions to meet evolving data challenges. - A strong team player with the ability to collaborate effectively with cross-functional teams. - Be adaptable and resilient with the ability to adapt to changing business needs and technology advancements. - Strategic mindset with the ability to align data architecture with the organisation's long-term goals. - Effective communication with all stakeholders and Directors. Requirements - Degree in Data Science, Data Analysis, Computer Science, Information Systems, Mathematics, or related field. - Microsoft Power BI certifications are desirable. - Strong experience in Power BI, including Power Query, DAX, semantic modelling, and dataflows. - Good working knowledge of data warehousing, star schema, and relational databases. - Experience working with IFS including views, tables, and debugging tools. - SQL skills and understanding of ETL processes. - Strong Excel capabilities. Benefits - Competitive benefits tailored to the division. - Opportunities for career growth and visibility across the organisation. - A supportive, inclusive culture that values your ideas and contributions. - Work that truly makes a difference in safety, innovation, and global capability.

Role Description Se você é uma pessoa dinâmica, organizada e curte projetos essa oportunidade é para você! Atuando como Analista de Planejamento - Power B.I. Você será responsável pela análise de dados e construção de indicadores de experiência do cliente (CX), apoiando decisões estratégicas por meio de dados confiáveis e insights acionáveis. Você irá trabalhar com: - Construção de dashboards e relatórios de CX (Power Query e Power BI); - Utilização da linguagem DAX para utilização no Power BI; - Desenvolvimento de queries em SQL para extração e tratamento de dados; - Analisar indicadores como NPS, CSAT, TME, TMA, SLA, Reincidência entre outros; - Identificar insights e oportunidades de melhoria na jornada do cliente; - Automatizar rotinas e processos de dados; - Garantir a qualidade e consistência das informações; - Apoiar as áreas de negócio com análises ad hoc; - Traduzir dados em recomendações estratégicas. Qualifications - Power BI Avançado; - Power Query Avançado; - SQL Intermediario/Avançado; - Conhecimento em métricas de CX/Operações. Company Description

• Drive Insightful Storytelling: Translate complex data into compelling, actionable insights that answer the “why” behind operational challenges and opportunities. • Develop interactive Tableau dashboards and visualizations that resonate with end users, empowering self-service analytics across the organization. • Engage & Understand: Build trusted relationships with business partners across functional areas such as collections and registration to map processes, document workflows, and identify unmet reporting needs. • Ask the right questions to uncover not just what data is needed, but why, helping shape metrics that align with business priorities. • Partner Across Teams: Collaborate with Database Analysts, Subject Matter Experts, and Project Analysts to ensure dashboards are accurate, timely, and actionable. • Liaise with Backend Analysts on data infrastructure needs, supporting the delivery of reliable, quality data. • Champion Continuous Improvement: Gather and synthesize feedback to iterate on dashboard designs and reporting approaches. • Embrace experimentation and learning, viewing challenges as opportunities to innovate. • Support, Document, and Train: Provide support for dashboard users, troubleshoot issues, and document best practices. • Contribute to user guides and training sessions, helping others unlock the power of data at DaVita Revenue Operations (ROPS).

Role Description The Member Experience Intelligence Analyst is responsible for transforming member‑interaction data into actionable intelligence. Using advanced analytics, AI‑powered insight tools, and real‑time feedback channels, this role helps the organization understand member behavior, identify friction points, and predict needs. The analyst delivers insights that enhance satisfaction, improve operational performance, and strengthen long‑term member loyalty. This position is open to flexible work options including a remote setup. Core Contributions - Experience Data & Insights Development - Collect, consolidate, and analyze member‑experience data from digital platforms, survey tools, CRM systems, and operational sources. - Use advanced analytical methods—such as segmentation, trend analysis, predictive modeling, and text analytics—to identify patterns and drivers of member satisfaction. - Build and maintain dashboards, scorecards, and standardized reporting for stakeholders at all levels. - Monitor key member‑experience indicators (e.g., NPS, satisfaction, effort, digital engagement) and produce insights that guide organizational decision‑making. - Advanced Analytics & Insight Generation - Apply AI‑enhanced analytics (including sentiment analysis, text analytics, and predictive modeling) to uncover key drivers of member experience issues. - Identify emerging friction points across onboarding, lending, digital banking, and service interactions. - Build dashboards and intelligence reports that translate complex data into clear, actionable findings. - Voice of the Member Intelligence (VoM) - Manage survey programs and structured feedback channels, ensuring representative sampling, clear measurement, and meaningful insight capture. - Synthesize open‑ended feedback, comments, and written input to identify emerging themes and member expectations. - Prepare comprehensive insights summaries to support strategic discussions, board meetings and organizational planning. - Strategy, Collaboration & Change Enablement - Present analytical findings to leaders in a clear, compelling, and actionable format. - Collaborate with cross‑functional teams—such as Digital Experience, Marketing, Operations, Member Solutions, Compliance, and Product—to align insights with organizational goals. - Recommend and support pilots, tests, or targeted initiatives designed to improve the member experience. - Track and report on the impact and outcomes of implemented improvements. Qualifications - Bachelor’s Degree in Data Analytics, Business, Behavioral Science, Statistics or a related field or equivalent experience. - 2–5 years of experience in data analytics, customer/member experience, strategy, business intelligence, or a related field. - Experience with visualization and analytics tools (Power BI, Tableau, Excel, SQL preferred). - Computer Skills: Microsoft Office Suite (Word, PowerPoint, Outlook, Teams with advanced Excel), BI Tools (Power BI, Tableau or SQL), Qualtrics, Medallia, CRM or similar platforms are preferred. Requirements - The expected salary for this position is $31.93 to $38.32 per hour. Benefits - Competitive 401k - Tuition reimbursement - Flexible work options - Volunteer opportunities - Water Cooler Chats with executive teammates - Clubs & Sports - Food truck days - ….and more!