Lead Tableau Engineer

Position: Lead Tableau Engineer

Location: San Antonio TX***Day 1 Onsite***

Duration: 1 Years

Phone & Skype

Client: HCL

Immediate Interview

Skills

Ratings Out of 5

# of years used

Candidate writeup (must be detailed filled by applicant)

Exp in Tableau

Exp in SQL

Exp in Data Storytelling

Any certification (Ps specify)

Exp in Designing dashboards using Tableau

Exp as Lead

Candidate iTap ref#

Map it against APPS/APPS/2024/2382079

Skills/Role

Work Location

Candidate Name

Contact#

Email ID

Current Location

5 days Onsite Working (Yes/No)

Work Authorization

Visa Validity (Month & Year)

Agreed for 6 months contract to hire (Y/N)

TEX (Yrs)

Rate

Availability to join post offer

Preferred time slots for video interview

HCLTech vendor company name

Any Certification (pls specify)

Experience level required (Years)

8 yrs.

Mandatory required skills

Tableau SQL Data Storytelling must have a strong Tableau Public Profile to showcase

Please share the Detailed Job Description

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 userfriendly 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 welldeveloped reporting and design research skills along with excellent written and verbal communication abilities.

Key Responsibilities

• Overall 68 years or relevant experience
• Designing dashboards with the use of visualization tools using Tableau
• Using SQL for managing large volume 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 so as 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 MapInfo
• Recognizing areas for automation
• Restricting data for particular users with the help of User filters
• Producing support documentation and keep existing documentation up to date
• Carrying out investigation of root cause analysis