Job Description

About 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. #J-18808-Ljbffr re-zoo-me

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