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Analytics Consultants (Dataiku)

LATAM - Remote

Overview:

We’re looking for a talented Analytics Consultant with Dataiku experience to help our customers gain tangible value from their data. Our consulting services emphasize analytics enablement, data visualization, data preparation, and data science. We specialize in Tableau, PowerBI, Sigma, Alteryx, KNIME, Power Platform and Snowflake.

Responsibilities:

  • Deliver project-based consulting engagements to help clients develop analytical solutions;  activities include requirements gathering, prototyping, analytics engineering, and visualization.
  • Manage clients expectations by leading weekly status reports to clients; proactively soliciting 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 that would meet and enhance user experience

Required Experience:

  • 3+ years of relevant experience and/or demonstrated expertise in data analytics and data visualization platforms
  • Expertise in Dataiku, plus if paired with other tools such as Alteryx, KNIME, or Matillion
  • Proven experience to create scalable, durable analytics solutions 
  • Eagerness to learn new data visualization tools
  • Demonstrated expertise in data fluency and communicating to business users 
  • Knowledge of SQL and experience leveraging data warehouse, data marts, and/or data models
  • Exceptional customer facing skills, including but not limited to communication and project management
  • Strong problem solving skills with a passion for learning and mastering new technologies, techniques, and procedures

Preferred Experience:

  • 1+ years of Consulting experience
  • Expertise with data visualization, ideally in one of the following: Tableau, Power BI, Sigma
  • Experience with Snowflake
  • Experience with Python and/or R scripting

#LI-DNI

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