Principal Analytics Consultant (Power BI)

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 scale across engagements.
• Partner with sales and account teams as a solution architect or sales engineer on discovery calls, proposals, estimates, statements of work, and expansion opportunities.
• Identify opportunities to extend client value through modernization, governance, AI-enabled analytics, and adjacent analytics services.
• Contribute to blogs, webinars, conference sessions, demos, or other content that strengthens phData’s analytics community and market presence.

What you bring

• 7+ years of experience delivering business intelligence, analytics, data visualization, or analytics consulting solutions.
• 5+ years of hands-on Power BI experience in enterprise or consulting environments.
• Advanced experience with Power BI Desktop and Power BI Service, including semantic modeling, DAX, Power Query, report development, workspace and deployment practices, security, and performance optimization.
• Strong understanding of dimensional modeling, semantic-layer design, data quality, governance, and analytics architecture.
• Experience leading complex projects or workstreams from discovery through implementation, UAT, deployment, and transition to support.
• Demonstrated ability to gather requirements, facilitate workshops, manage stakeholders, and communicate with executive audiences.
• Working knowledge of Sigma Computing, including workbooks, data modeling, dashboard development, or BI migration patterns.
• Strong SQL skills and experience working with cloud data platforms, data warehouses, data marts, or curated analytical datasets.
• Experience with BI modernization, migration, report rationalization, or translating logic across analytics platforms.
• Practical understanding of AI-assisted development, generative AI, or AI-enabled BI capabilities, with a strong commitment to responsible use and human review.
• Ability to balance hands-on technical delivery, strategic thinking, client leadership, mentoring, and multiple priorities.
• Strong written and verbal communication skills, structured problem-solving, and a consulting mindset.
• Demonstrated commitment to continuous learning and upskilling, with the curiosity to stay current on emerging BI, data, cloud, and AI technologies and apply new capabilities responsibly.

Preferred qualifications

• Microsoft Certified: Power BI Data Analyst Associate (PL-300) or equivalent demonstrated expertise.
• Sigma certification or partner-delivery experience.
• Experience with Microsoft Fabric, Azure, Snowflake, dbt, Tabular Editor, ALM Toolkit, DAX Studio, or similar analytics and development tools.
• Experience with Power BI Copilot, Sigma AI features, Snowflake Cortex, AI agents, MCP-enabled workflows, or AI-assisted migration accelerators.
• Experience defining BI governance, operating models, centers of excellence, adoption programs, or self-service analytics standards.
• Experience supporting pre-sales, solution estimation, proposal development, account expansion, or fixed-scope delivery.
• Industry experience in areas such as consumer products, retail, healthcare, life sciences, financial services, manufacturing, or technology.
• Public speaking, technical writing, community participation, or a record of reusable analytics assets.

How success will be measured

• Clients receive scalable, trusted, performant Power BI solutions that address real business decisions.
• Engagements are led with strong ownership, predictable delivery, proactive communication, and measurable client value.
• Power BI standards and reusable assets improve quality and consistency across projects.
• Sigma and cross-platform expertise expand the team’s ability to support modernization and migration programs.
• AI is applied responsibly to accelerate delivery and create better analytics experiences without compromising accuracy, security, governance, or human judgment.
• Consultants and senior consultants receive effective mentorship and grow their technical and consulting capabilities.
• Client relationships deepen through trusted-advisor behavior, thought leadership, and well-shaped expansion opportunities.

Why join phData

• Work on challenging analytics and AI initiatives for leading organizations across industries.
• Collaborate with experienced consultants, data engineers, and analytics practitioners.
• Continue building expertise across Power BI, Sigma, modern data platforms, and AI-enabled delivery.
• Contribute to a culture that values learning, ownership, practical innovation, and high-quality client outcomes.

Equal opportunity

phData is committed to building an inclusive workplace where people with different backgrounds, experiences, and perspectives can do their best work. We consider qualified candidates without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other legally protected status.