Data Analyst - Tax
@ Talentify.io

Hybrid
$60,000
Hybrid
Full Time
Posted 12 hours ago

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Job Details

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

Review Excel advanced functions.
Practice SQL queries and database management.
Learn workflow automation tool basics.
Brush up on Python scripting fundamentals.

Behavioral Questions

Discuss project lifecycle experiences.
Describe teamwork in ambiguous situations.
Explain a time you identified errors.
Detail cross-functional communication examples.

Frequently Asked Questions