Principal Analytics Consultant (Power BI)

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? • Snowflake Implementation Partner of the Year — 7 consecutive years , and 2026 Snowflake AI Partner of the Year • AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network • 2025 Fivetran Partner of the Year (4th consecutive year) • 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status • 2026 KNIME Customer Excellence Partner of the Year • Preferred Partner in the Anthropic Claude Partner Network • #1 Partner in Snowflake Advanced Certifications • 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) • Recognized as an award-winning workplace in the US , India and LATAM The opportunity We are looking for a Principal Analytics Consultant with deep expertise in Power BI and a strong working knowledge of Sigma Computing. This is a senior client-facing role for someone who can lead complex analytics initiatives from discovery through delivery, connect technical decisions to business value, and serve as a trusted advisor to executive stakeholders. The ideal candidate is equally comfortable designing a Power BI semantic model, facilitating a requirements workshop, explaining tradeoffs to a senior client, guiding a consulting team, shaping a proposal, and identifying where AI can improve analytics delivery or the end-user experience. What you’ll do Lead analytics strategy and solution architecture • Own the technical approach for complex Power BI engagements, including discovery, solution design, delivery planning, and implementation. • Translate business goals into durable analytics architectures, semantic models, metrics, reports, and adoption strategies. • Define standards for data modeling, report design, performance, security, governance, testing, deployment, and documentation. • Advise clients on the broader analytics landscape, platform choices, modernization paths, and opportunities to improve decision-making. • Partner with data engineering, data platform, governance, and client teams to ensure analytics solutions are reliable and production-ready. Deliver Power BI solutions • Design and develop enterprise-grade Power BI semantic models, reports, dashboards, and analytical experiences. • Apply advanced Power Query, DAX, dimensional modeling, star-schema, row-level security, deployment, and workspace-management practices. • Diagnose and resolve complex issues involving data quality, model design, DAX logic, refreshes, gateways, performance, and report usability. • Optimize models and reports for scalability, maintainability, accessibility, and a high-quality user experience. • Lead report rationalization, migration, modernization, and remediation programs, including the conversion of legacy calculations and reporting logic. • Establish and execute QA, validation, UAT, release, and change-management practices. Apply Sigma as a secondary capability • Contribute to Sigma implementations, workbook development, data modeling, dashboard design, migration, testing, and enablement when project needs require it. • Translate reporting logic and analytical patterns between Power BI and Sigma, identifying differences in calculation behavior, modeling, governance, and user experience. • Help clients determine when Power BI, Sigma, or a combination of platforms best supports their business and technical requirements. Lead clients and engagements • Facilitate executive and working sessions, requirements discovery, solution reviews, demonstrations, and stakeholder alignment activities. • Communicate clearly with both technical and non-technical audiences, adapting the level of detail to the audience and decision at hand. • Manage expectations, surface risks early, provide actionable recommendations, and maintain clear line-of-sight to project outcomes and timelines. • Partner with project managers and delivery leadership to manage scope, dependencies, milestones, quality, utilization, and transitions. • Connect project deliverables to measurable business value, adoption, process improvement, and return on investment. Advance AI-enabled analytics delivery • Use AI-assisted development thoughtfully to accelerate Power BI modeling, DAX and SQL development, documentation, testing, troubleshooting, prototyping, and migration work. • Apply relevant AI capabilities in the BI ecosystem, such as Power BI Copilot and Sigma AI features, to improve report development and insight consumption. • Help design AI-enhanced analytics experiences, including natural-language exploration, generated summaries, semantic or metrics-layer experiences, and workflow-oriented solutions. • Evaluate and prototype agentic workflows, reusable skills, and automation that improve delivery speed, consistency, and quality. • Validate AI-generated outputs for accuracy, business relevance, security, privacy, bias, and explainability; apply human judgment wherever it is required. • Follow client and phData requirements for approved tools, data handling, access controls, and responsible use of AI. • Share practical AI learnings with clients and the internal analytics community. Grow people, practice capability, and client relationships • Mentor consultants and senior consultants through technical guidance, delivery coaching, feedback, and career development support. • Lead capability sessions, communities of practice, technical workshops, interview loops, and internal enablement initiatives. • Create reusable delivery assets, accelerators, templates, standards, and thought leadership that sca