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Data Research Specialist - Tableau
Jobgether
HybridHybrid
Original Job Summary
Position Overview
This is a remote position based in India for a Data Research Specialist - Tableau, posted by Jobgether on behalf of Forbes Advisor. The role offers the opportunity to ensure high-quality, reliable data is available for decision-making and insights across multiple teams.
Key Responsibilities
- Mentor team members on Tableau, Python, and SQL best practices.
- Conduct code reviews and provide guidance on coding standards.
- Lead testing, quality assurance and implement automated test coverage.
- Establish processes for version control, documentation, and automation.
- Troubleshoot complex Tableau, Python, and MySQL issues.
- Collaborate with cross-functional teams on data requirements and visualizations.
- Design, implement, and maintain scalable ETL/ELT data pipelines.
- Drive continuous learning and process improvement in data governance.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field; or equivalent experience. Advanced expertise in Tableau and Tableau Prep Builder, strong programming skills in Python and SQL, and hands-on experience with ETL/ELT pipelines are essential.
Additional Benefits
- Monthly wellness and office commute reimbursements.
- Paid maternity and paternity leave.
- Long weekend every month (day off on the 3rd Friday).
Key skills/competency
- Tableau
- Data Integrity
- Python
- SQL
- ETL/ELT
- Automation
- Mentorship
- Data Governance
- Testing
- Process Improvement
How to Get Hired at Jobgether
🎯 Tips for Getting Hired
- Customize your resume: Tailor skills to role requirements.
- Highlight Tableau projects: Emphasize relevant experience.
- Showcase automation skills: Mention process improvements.
- Prepare for technical interviews: Review Python and SQL concepts.
- Research Jobgether: Understand company culture and AI processes.
📝 Interview Preparation Advice
Technical Preparation
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Review Tableau advanced features and debugging.
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Practice Python scripting and code optimization.
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Brush up on SQL queries and database management.
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Understand ETL pipeline design and automation.
Behavioral Questions
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Describe teamwork during challenging projects.
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Explain problem-solving in data troubleshooting.
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Discuss mentoring approach for juniors.
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Share experience in process improvement initiatives.