Client Analytic Consultant

3 hours ago

St Louis, Missouri, United States Equifax Full time

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.
What You'll Do

  • 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

What Experience You Need

  • 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

What Could Set You Apart

  • 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, DataFlow, AirFlow, Python, JSON, BigTable
  • Demonstrated advanced skills using TensorFlow, Google ML, R, Python, Spark, BigQuery, BQML, Cloud Fundamentals, GitHub, and Testing Statistical Algorithms

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