Remote Data Analyst
Há 2 dias
About the Role
We are seeking a
highly analytical and detail-oriented Remote Data Analyst
to help us uncover insights and drive data-informed decisions across the organization.
In this role, you'll work closely with cross-functional teams to collect, process, and interpret complex datasets. You will build dashboards, identify trends, and support business leaders with data-driven recommendations that shape strategy and improve performance.
This role is perfect for someone who enjoys solving problems, exploring data, and turning numbers into stories that matter.
Key Responsibilities
- Collect, clean, and validate large datasets from multiple sources
- Analyze data to identify trends, correlations, and actionable insights
- Build and maintain dashboards, visualizations, and reports
- Collaborate with business, product, and marketing teams to define metrics and KPIs
- Support leadership with data analysis for strategic planning
- Ensure data accuracy, integrity, and compliance across systems
Requirements
- Bachelor's degree in Data Science, Statistics, Economics, or related field
- 2+ years of experience in data analytics, business intelligence, or reporting
- Proficiency in SQL, Excel, and at least one analytical tool (Python, R, or Power BI)
- Strong problem-solving and communication skills
- Ability to explain technical findings to non-technical stakeholders
- English fluency required; Korean proficiency preferred
Preferred Qualifications
- Experience with Tableau, Google Data Studio, or similar visualization tools
- Knowledge of data warehousing, ETL pipelines, or cloud analytics platforms
- Background in e-commerce, fintech, or SaaS analytics
- Familiarity with A/B testing, customer analytics, or predictive modeling
Benefits
- 100% remote work flexibility
- Competitive salary and performance bonuses
- Opportunities to work with global, data-driven teams
- Career growth and professional development support
- Collaborative, innovative, and analytical culture
Apply Now:
- Send your resume
and (if available) a
portfolio of previous analytics projects
via
LinkedIn message
or
email
.
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