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Data Analyst Intern

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: MeshyAI
Apprenticeship/Internship position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Company Overview

Meshy is a Silicon Valley-based company and a global leader in 3D generative AI. We are redefining the 3D content creation workflow through cutting-edge AI technology. Our platform enables both professional creators and hobbyists to effortlessly generate high-quality 3D assets — transforming text or images into detailed 3D models within minutes.

Position Overview

We are hiring a Data Analyst Intern to own two integrated pillars of our analytics work:

  • Dashboard migration — moving existing visualizations from Databricks, Metabase, and Tableau onto Hex, our new AI-powered analytics platform.
  • Analysis and proactive insights — running ad‑hoc analyses, investigating anomalies you uncover along the way, and producing business insights that lead to key business decisions.

The pillars feed each other: as you migrate dashboards, you will notice anomalies worth investigating; as you investigate, you will sharpen the metric definitions and chart selections that go into the new dashboards. This is a real, cross‑functional project touching every business team  will get end‑to‑end ownership across the full scope above: scoping requirements with stakeholders, rebuilding dashboards in Hex with AI assistance, validating data parity, investigating what the data is telling you, and handing off polished work to stakeholders.

The technical bar is intentionally accessible (the underlying data is already there), but the role demands attention to detail, patience, strong communication, and a genuine appetite for learning new AI tools.

This is not a ticket‑execution role. We expect you to think critically throughout: which charts are obsolete? Which metrics could be defined better? Why is this segment behaving differently? What does Faye or the Growth team need to know that they haven't asked yet?

Key Responsibilities
  • Dashboard Migration & Data Accuracy: audit existing dashboards on Databricks, Metabase, and Tableau; rebuild visualizations on Hex with exact data parity; validate data through procedures (row counts, aggregate checks, sampled dimension comparisons); improve dashboards with new metrics and visualizations; maintain a clear migration tracker.
  • Requirements Refinement & Metric Optimization: before migrating each dashboard, proactively engage stakeholders to determine active charts and metrics, propose deprecations, identify opportunities for enrichment, and push for standardized metric definitions.
  • AI & Python Tooling: leverage Hex’s built-in AI to auto‑draft chart skeletons, use Python (pandas, plotly) for complex visualizations, explore modern interactive patterns on Hex, and validate every AI‑generated output.
  • Ad‑Hoc Analysis & Business Insights: investigate anomalies during migration; translate stakeholder questions into structured analyses with conclusions and recommended next steps; produce concise written insights for non‑technical audiences.
  • Cross‑Functional Communication: work with Product, Growth, Marketing, Finance, and other teams, run walkthroughs and handoffs, present findings in an actionable format, and communicate effectively in async environments.
Qualifications Required
  • Currently pursuing a Bachelor’s, Master’s, or PhD in Math, Stats, CS, Economics, Information Systems, or related fields.
  • Solid SQL skills (JOINs, GROUP BY, window functions, CTEs).
  • Hands‑on experience with at least one data visualization tool (Tableau, Looker, Hex, Metabase, Power BI, Python libraries).
  • Fluent in both Chinese and English (written and verbal).
  • Detail‑oriented, patient, and accountable; migration work demands precision.
  • Curiosity‑driven analytical mindset; can form hypotheses, test them, and revise based on findings.
  • Comfortable communicating a business insight to a non‑technical audience in 2-3 sentences with a clear “so what.”
  • Basic statistical literacy: understand mean vs median, sample size intuition, awareness of confounding variables, and difference between correlation and causation.
  • Practical experience using AI tools (ChatGPT, Claude, Cursor) with understanding that AI outputs must be verified.
Preferred Qualifications
  • Prior Hex experience.
  • Basic understanding of SaaS, subscription, or growth metrics.
  • Pyt…
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