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Senior Analytics Consultant (Looker)

Posted 5 days agoViewed

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💎 Seniority level: Senior, 3+ years

📍 Location: United States, Latin America, India

🔍 Industry: Data Analytics

🏢 Company: phData👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation ServicesAnalyticsInformation Technology

⏳ Experience: 3+ years

🪄 Skills: Project ManagementSQLCloud ComputingData AnalysisSnowflakeTableauData scienceCommunication SkillsAnalytical SkillsProblem SolvingCustomer serviceData visualizationData modelingData analyticsData management

Requirements:
  • 3+ years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms in an enterprise environment
  • Strong data visualization skills using Looker, including LookML development, dashboard creation, and advanced visualization techniques.
  • Knowledge of related tools and technologies, such as Sigma, Tableau, Power BI, Omni, or dbt.
  • Data preparation experience using Alteryx or KNIME (or similar tools like Matillion, Dataiku, or Coalesce is a plus)
  • Demonstrated expertise in data fluency and communicating to business users
  • Knowledge of SQL experience leveraging data warehouse, data marts, and/or data models
  • Exceptional customer facing skills, including outstanding communication skills and project management skills
  • Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures
Responsibilities:
  • Deliver on project-based consulting engagements; help clients develop analytical requirements through prototyping and visualization
  • Manage clients' expectations by leading weekly status reports to clients; proactively solicit client feedback by running working sessions
  • Create reporting and data visualization solutions
  • Analyze, troubleshoot, and/or tune product performance or deployment issues when required
  • Support or assist with backlog support and development
  • Identify and recommend functionality and solutions to meet and enhance user requirements
  • Recommend best practices to optimize data models, reports, and overall platform architecture
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