Principal Analytics Consultant (Sigma)

New
P
phDataData and AI Consultancy
Employees across the United States, Latin America, and IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
7+ years of relevant experience; 3+ years of external consulting experience
Required Skills
SQLBusiness IntelligenceSnowflakeData visualizationData modeling

Requirements

  • 7+ years of relevant experience delivering data analytics, business intelligence, or data visualization solutions.
  • 3+ years of external consulting experience with ownership of client-facing analytics projects.
  • Demonstrated expertise designing and delivering analytics solutions with Sigma, including workbook development and self-service analytics.
  • Strong SQL skills and experience working with cloud data warehouses, semantic models, and analytical data structures.
  • Strong understanding of data modeling, metric definition, visualization design, and analytics architecture.
  • Experience establishing or operating Sigma governance practices, including access management and platform administration.
  • Ability to translate ambiguous business needs into clear analytical requirements.
  • Exceptional customer-facing communication, facilitation, and project management skills.
  • Strong problem-solving skills with a passion for learning new technologies.

Responsibilities

  • Lead end-to-end analytics workstreams, owning planning, requirements, prototyping, development, testing, deployment, and adoption for Sigma solutions.
  • Own the technical approach, backlog, and sequencing of work to deliver high-quality, scalable analytics solutions.
  • Facilitate client working sessions to clarify business needs, define requirements, and align stakeholders on priorities.
  • Design and develop Sigma workbooks, dashboards, governed datasets, and self-service analytics experiences.
  • Apply SQL and data modeling practices to connect Sigma solutions to cloud data warehouses and analytical data structures.
  • Establish quality standards and review solutions for technical quality, usability, performance, and scalability.
  • Recommend governance, security, access, and operating-model practices for enterprise-scale Sigma adoption.
  • Manage client expectations through clear status reporting, communication, and risk escalation.
  • Mentor consultants and contribute to staffing, utilization, budget management, and project performance.
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