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Tableau Analyst

As a Tableau Analyst, you will be working on client-specific projects and will be expected to understand the client data architecture. You will be required to use different technical skills and a variety of tools to generate dashboards and actionable insights from a variety of client data sources. Your focus shall remain on solving business problems while working with structured as well as unstructured data.

Responsibilities

Client Interaction & Management:

  • Understanding the client objective and managing client expectations on projects along withthe Account Manager
  • Independently work with client to scope and deliver on projects as a part of larger team
  • As part of a larger team, align requirements on different work streams and tasks assigned by the client
  • Lead client calls wherever required

Project Management:

  • Making significant contributions to the design of the analytical approach and work plan
  • Being responsible for smooth project operations – overall project quality and productivity of teams

Other Initiatives:

  • Participating in organization-improvement initiatives and activities such as knowledge management
  • Conducting skill-based internal training sessions independently
  • Helping the organization in scaling up by actively participating in recruitment drives at the premises or on campus.
Tableau Analyst

Key Skills:

  • Able to work with Data visualization & communication tools such as Tableau/Power BI, Oracle BICS and Adobe Analytics
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets
  • Experience working with and creating data architectures
  • Data munging: able to work across different data sources (structured or unstructured)
  • Working knowledge of Relational Database Systems and SQL
  • Excellent client presence and communication skills (written and verbal)
  • Proficiency with MS PowerPoint and MS Excel

Background:

  • Graduate with an engineering degree (preferably Computer Science) or a degree in statistics/math with experience in coding or equivalent
  • 1-4 years of relevant experience in Business Intelligence and Data Visualization. Relevant analytics experience in Operational and Sales Analytics is a plus
  • Post Graduate with analytical pedigree (preferably Operations Research, Econometrics or MBA equivalent with analytical electives) will be a plus
  • Certification in Data Science coursework from internationally recognized platforms will be a plus
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