About the role
from listingAbout the job
Our client is a high-growth, venture-backed enterprise data analytics and cloud solutions platform (250-500 employees) modernizing global market intelligence and digital operations. We are seeking an ambitious, highly analytical Junior Data Analyst to fuel their global business intelligence efforts. This entry-level role is an aggressive career launchpad, focusing on data pipeline tracking, KPI dashboard scaling, and cross-functional insight discovery.
Why Join Us
Data Mentorship Academy: Benefit from structured, direct feedback loops and ongoing technical development coaching from senior data engineers and analytics leaders.
End-to-End Analytics Ownership: Gain immediate exposure across the entire data lifecycle, moving rapidly from raw data infrastructure validation to production-ready executive reporting.
Industry-Standard Data Stack: Work daily with premier collaborative tech configurations and cloud data ecosystems (SQL, Snowflake, Tableau, and Python/R).
Responsibilities
Data Cleaning & Quality Assurance: Support data engineering pipelines by auditing, cleaning, and transforming raw datasets to ensure data integrity and platform-wide metrics consistency.
Dashboarding & Visualization: Maintain, scale, and document reusable BI reporting asset libraries, interactive dashboards, and automated performance tracking views.
Insight & Trend Discovery: Support the qualitative and quantitative research processes by conducting ad-hoc analyses, identifying operational trends, and translating data anomalies into behavioral insights.
Cross-Functional Alignment: Partner closely with Product Managers, Data Engineers, and account teams to deliver precise data specifications and perform post-implementation reporting QA.
Qualifications
Education: Bachelor’s degree in Data Analytics, Statistics, Computer Science, Economics, Mathematics, or an equivalent intensive analytics bootcamp certification.
Experience: 0 to 2 years of professional data analysis internship, freelance projects, or a comprehensive academic portfolio demonstrating structured, data-driven problem solving.
Technical Tooling: High proficiency with SQL (complex queries, joins, and aggregations) and advanced Excel, paired with a fundamental understanding of data visualization platforms (Tableau or Power BI) and data science programming constraints.
Language Skills: Bilingual proficiency in English and either Korean, Mandarin, or Japanese is highly preferred and will be heavily utilized given our deeply integrated global client portfolio.
Mindset: Highly receptive to constructive technical critique, deeply detail-oriented, and possessing an empathetic, curious approach to solving data friction.
Job Location & Details
Location: United States (100% Remote / Work From Home)
Work Model: Remote
Employment Type: Full-Time, Permanent
Salary Range: $75,000 – $100,000 base structure + Annual Performance Bonus, Equity Shares & Corporate Health Benefits.
Seniority level: Entry level
Employment type: Full-time
Industries: Data Infrastructure and Analytics