Client Analytic Consultant

The Client Analytic Consultant acts as a strategic bridge between complex data analytics and business decision-making by serving as the primary lead for analytical solution sales and client accounts. In this role, you will leverage expert-level SQL and data visualization skills to transform technical findings into compelling narratives that drive business value and solve ambiguous client challenges.

This role requires being in the office 3 days/week on Tues - Thurs.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

• Serve as point of contact for all covered domain solution sales activities within covered accounts, including custom analytical solutions
• Data Storytelling: The ability to weave data findings into a compelling narrative that highlights key insights and drives the client toward a specific business decision
• Develop moderately complex domain solution proposals and support stakeholders with problem solving and educational materials during negotiations
• Demonstrates solid knowledge of domain solutions, capabilities, and customer issues they address and the value products offer
• Continuously develop knowledge of the competition and help develop competitive strategies and positioning

• BS degree in a STEM major or equivalent discipline;
  Master’s Degree strongly preferred
• 5+ years of analytical or consulting experience or related role
• Expertise in SQL for querying and manipulating large datasets
• Cloud certification strongly preferred
• Demonstrated experience using influence to tell stories with data and utilizing data visualization tools including Tableau

• Strong problem-solving skills with a critical and analytical mindset to address ambiguous client challenges.
• Strong presentation skills to lead client meetings and deliver project results
• Basic understanding of ML deployment and production tools, Data Flow, Air Flow, Python, JSON, Big Table
• Demonstrated advanced skills using Tensor Flow, Google ML, R, Python, Spark, Big Query, BQML, Cloud Fundamentals, Git Hub, and Testing Statistical Algorithms