Lead Power BI Analyst

What is this position about? The Senior BI Analyst will play a key role in transforming complex data into actionable insights that drive strategic business decisions. This role focuses on developing, optimizing, and managing internal dashboards and reports that track key business metrics and operational performance. This person will collaborate closely with internal teams—such as Finance, Operations, People Analytics, and Delivery—to ensure high-quality insights and data accuracy across the organization. As a Lead Power BI Analyst, this role will also be expected to bring a strong understanding of business performance, analytics, and insights across the organization. The individual will work across a range of business areas and stakeholders, developing reporting and analytical solutions that not only provide visibility into performance, but also help leaders understand trends, drivers, opportunities, and areas requiring action. The role will combine strong Power BI and data fundamentals with an analytical mindset and an understanding of emerging GenBI capabilities. The successful candidate will be able to evolve traditional reporting into more intuitive, insight-driven experiences and identify opportunities to improve how business users access, understand, and act on data. Job Description Design, build, and maintain internal BI dashboards and reports to monitor company KPIs and operational performance. Collaborate with cross-functional teams to gather business requirements and translate them into effective BI solutions. Develop and optimize data models and ETL processes to ensure data consistency and accuracy. Present insights and recommendations to senior leadership, supporting strategic and operational decisions. Implement best practices in BI design, data governance, and process automation. Support internal initiatives by providing analytical expertise and data visualization capabilities. Manage multiple internal BI projects end-to-end, ensuring timely delivery and stakeholder satisfaction. Partner with business stakeholders to understand underlying business needs and translate them into meaningful metrics, analytical solutions, and actionable insights. Take ownership of reporting and analytics solutions across multiple areas of the organization, ensuring consistency in metrics, definitions, and analytical approaches. Proactively identify trends, patterns, exceptions, and opportunities within business data and help translate these findings into business actions. Build scalable and reusable Power BI solutions, semantic models, and analytical frameworks that can support evolving business requirements. Contribute to the evolution of the organization's analytics environment, including the adoption of GenBI and AI-enabled approaches to data exploration, insight generation, and reporting. Evaluate and apply emerging analytics capabilities where they can improve the usability, speed, and effectiveness of business decision-making. Serve as a lead practitioner and provide guidance on Power BI, analytics, visualization, and reporting best practices. Proven experience designing and delivering internal BI solutions from concept to implementation. Proficiency in Power BI and MS Fabric (additional experience with Tableau, etc. are nice to have). Strong foundation in BI, analytics, and data visualization, with the ability to connect technical solutions to business outcomes. Strong analytical thinking and demonstrated ability to turn business data into meaningful insights and recommendations. Experience working with business stakeholders across multiple functions and translating varied business requirements into effective analytical solutions. Understanding of modern analytics and GenBI concepts, including conversational analytics, natural-language interaction with data, automated insights, and AI-assisted reporting. Hands-on experience is a plus. Ability to think beyond static reporting and identify opportunities to make analytics more interactive, intelligent, and actionable. Strong understanding of Power BI architecture, semantic models, measures, visualization principles, and enterprise reporting practices. Ability to independently lead analytics initiatives, manage stakeholders, and drive solutions from requirements through implementation and adoption. Strong communication and storytelling skills, with the ability to explain analytical findings and business implications to senior and non-technical audiences. Experience mentoring or providing technical/analytical guidance to other BI analysts is a plus. Strong understanding for financial metrics and core functions such as revenue, profit, margin, costs, billing and how those impact process and outcomes in managing a business. Advanced SQL in Snowflake: Ability to write complex queries using CTEs, window functions, and aggregations, with a focus on optimizing queries for reporting workloads. Data Modeling for BI: Understanding of star schema and dimensional modeling, and experience creating fact and dimension views in Snowflake to build reporting-friendly datasets. Snowflake Objects: Familiarity with key Snowflake components such as tables, views, materialized views, stages (basic knowledge), warehouses, and basic role-based access control (no deep infrastructure knowledge required). Performance Optimization: Experience with query tuning, awareness of clustering/partitioning, minimizing scan costs, and leveraging result caching. DAX and experience using tools like Tabular Editor and DAX Studio. Experience with data modelling (e.g., Kimball) and managing enterprise-level reporting environments. Excellent communication skills to translate analytical findings into actionable business insights for non-technical stakeholders. Strong attention to detail, organization, and documentation. Experience with cloud environments (e.g., Azure, AWS), large data sets, and internal data governance processes are nice to have. What about languages? Advanced English proficiency required. How much experience must I have? Minimum of 4 years experience in business intelligence or related fields. Our benefits: 📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. 👩‍🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path. 🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!