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Lead Tableau developer

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-12-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Mandatory

Required Skills:

  • Tableau
  • SQL
  • Data Storytelling
  • Must have a strong Tableau Public Profile to showcase

As a Lead Tableau Engineer, an individual is responsible for designing and developing Tableau Dashboards according to application requirements and demands of the business. Responsible for the development and administration. Their main duty is to transform raw data into meaningful insights. This is accomplished through interactive and user-friendly dashboards and reports. The role of a Tableau developer is vital for businesses because of the executive, strategic, and managerial roles and responsibilities that come with it.

Professionals are expected to perform a wide range of tasks such as reporting, building dashboards, building data models, analyzing datasets, and administration. Needs to be quality and customer focused when approaching a new product. He/She needs well-developed reporting and design research skills, along with excellent written and verbal communication abilities.

Key Responsibilities:

  • Overall, 6-8 years of relevant experience
  • Designing dashboards with the use of visualization tools using Tableau
  • Using SQL for managing large volumes of data
  • Communicating with customers to analyze historical data and identify KPIs
  • Improving data processing speed by building SQL automations
  • Tweaking SQL Queries for best performance
  • Making sure the team delivers reports as per the requirements
  • Analyzing the data to identify trends and share insights
  • Implementing Tableau mobile dashboards with the help of Tableau mobile application
  • Creating Thematic Heat maps with the help of Map Info
  • Recognizing areas for automation
  • Restricting data for particular users with the help of User filters
  • Producing support documentation and keeping existing documentation up to date
  • Carrying out investigation of root cause analysis
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