Tableau Dashboard Developer

3 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

About Client:

Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.


  • Job Title :

    Tableau Dashboard Developer
  • Job Locations :

    Hyderabad

  • Experience :

    3+ Years
  • Work Mode :

    On

    -

    site
  • Employment Type :

    Contract
  • Notice Period :

    Immediate

    to

    15

    Days


Mandatory Skills:

  • At least 3 years of experience as a Tableau Dashboard Developer, creating visually appealing and interactive dashboards for data analysis and reporting.
  • Program Management experience 1-2 years to drive issues, track tasks and evaluate priorities on a regular basis.
  • B.E/B.Tech. in Computer Science or Computer Engineering.
  • Strong knowledge of using Tableau calculated fields.
  • Proficiency in Python.
  • Familiarity with data analytics, and data visualization concepts.
  • Ability to work independently and collaboratively, taking ownership of projects in a dynamic paced environment.
  • Excellent problem-solving skills and a keen eye for detail to identify and resolve issues effectively.
  • Effective communication skills, both written and verbal.


Good to Have:

  • Advanced Python programing skills.
  • Data engineering experience.
  • Familiarity with statistical analysis.
  • Understand machine learning or anomaly detection concept.

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