Junior Data Analyst

re-zoo-me; Northern (KY); Hybrid; USD 75,000 - 100,000; Full time

Benefits offered by this job

Data Mentorship Academy

End-to-End Analytics Ownership

Access to Snowflake, Tableau, Python &

R for analytics

Job summary

re-zoo-me seeks a Junior Data Analyst to support global BI efforts, focusing on data pipeline tracking, KPI dashboards, and cross-functional insight discovery. This entry-level role offers mentorship, broad exposure to the data lifecycle, and a chance to develop across SQL, Tableau/Power BI, and data science workflows.

The position emphasizes collaboration with Product Managers, Data Engineers, and account teams, with remote work options and a competitive benefits package.

Qualifications

• Bachelor's degree in Data Analytics, Statistics, CS, Econ, or Math.
• 0–2 years of data analysis internship or related projects.
• Strong SQL and Excel skills; familiarity with visualization tools.
• English plus Korean, Mandarin, or Japanese is highly preferred.

Responsibilities

• Audit, clean, and transform raw datasets to support metrics.
• Maintain dashboards and scalable BI reporting assets.
• Conduct ad-hoc analyses and identify operational trends.
• Collaborate with Product Managers and Data Engineers for data specs.

Skills

Analytical thinking

Data-driven problem solving

SQL proficiency

Advanced Excel

Education

Bachelor's degree in Data Analytics, Statistics, Computer Science, Economics, or Mathematics

Tools

SQL

Tableau

Power BI

Snowflake

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.