TL;DR
Data Analyst (ERP): Shaping how data drives decisions, insights, and innovation across business, partners, and customer ecosystems, with an accent on translating business goals into actionable analytics requirements and solutions. Focus on designing and delivering interactive, comprehensive reports and dashboards using Tableau and Microsoft Power BI and moving beyond reactive reporting towards forward-looking, scalable, and value-driven analytics.
Location: Hybrid working model, likely US-based due to Affirmative Action Employer statement.
Company
hirify.global is a leading innovator in cloud ERP, providing business management software to small and mid-size businesses globally.
What you will do
- Partner with cross-functional business teams to understand objectives and translate them into clear data and analytics requirements.
- Design, build, and maintain robust data models, advanced reports, dashboards, and visualizations using Tableau and Microsoft Power BI.
- Collaborate with data engineering teams to ensure data architecture, pipelines, and structures align with analytical needs.
- Communicate complex analytical findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
- Contribute to defining and evolving an analytics roadmap aligned with business and product priorities.
- Act as a contributor and advocate for data-driven decision-making across the organization.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, Data Science, or a related field.
- 2+ years of experience in data analytics, data science, or a related role.
- Strong experience in data modeling and analytical design.
- Strong hands-on experience with Tableau and Microsoft Power BI.
- Strong SQL skills and experience with analytical queries.
- Hands-on experience with Python or R for data analysis.
- Proven ability to translate business needs into structured, actionable analytics deliverables.
Nice to have
- Domain knowledge of ERP or other enterprise application platforms (e.g., finance, supply chain, CRM, E-Commerce).
- Microsoft Power BI (Data Analysis Expressions knowledge).
- Machine learning experience.
- Understanding of data governance principles and compliance standards.
Culture & Benefits
- Industry competitive salary and comprehensive Health & Life insurances.
- Flexi-hours, Paid paternity leave, and office lunch.
- Hybrid working model.
- Exposure to working with distributed global teams.
- Emphasis on work/life balance, efficiency, simplicity, and friendly customer service.
- Exceptional professional and financial growth potential.
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