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Data Analyst - Tax
Talentify.io
HybridHybrid
Original Job Summary
About the Role
The Data Analyst - Tax is a remote position with Talentify.io, offering a flexible work environment and exposure to cross-functional learning & leadership. You will have hands-on experience shaping operational and compliance systems in a fast-growing startup.
Key Responsibilities
- Own high-impact projects from design to QA.
- Monitor and interpret changes in sales tax laws and rates.
- Maintain and update databases with tax rules and exemptions.
- Generate reports and insights for compliance and decision-making.
- Liaise between tax experts, engineers, and operational teams.
Required Qualifications
- Strong analytical, research, and problem-solving skills.
- Advanced proficiency in Excel and Google Sheets.
- Experience with workflow automation tools.
- Exceptional attention to detail and proactive error identification.
- Effective collaboration with technical, legal, and operational teams.
Preferred Qualifications
- Working knowledge of SQL and relational databases.
- Familiarity with Python or other scripting languages.
- Experience in indirect tax and compliance systems.
- Prior experience in early-stage startups or AI/automation tooling.
Key Skills/Competency
- Data Analysis
- Tax Regulations
- Excel
- Google Sheets
- Workflow Automation
- SQL
- Python
- Compliance
- Reporting
- Cross-functional Collaboration
How to Get Hired at Talentify.io
🎯 Tips for Getting Hired
- Customize your resume: Tailor it to highlight tax analysis experience.
- Review Talentify.io culture: Research their mission and values.
- Emphasize technical skills: Showcase Excel, SQL, and automation proficiency.
- Prepare examples: Detail project lifecycle management in your interview.
📝 Interview Preparation Advice
Technical Preparation
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Review Excel advanced functions.
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Practice SQL queries and database management.
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Learn workflow automation tool basics.
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Brush up on Python scripting fundamentals.
Behavioral Questions
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Discuss project lifecycle experiences.
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Describe teamwork in ambiguous situations.
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Explain a time you identified errors.
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Detail cross-functional communication examples.