Data Analyst Intern

Company Overview

Meshy is a Silicon Valley-based business focused on 3D generative AI and is recognized globally for its role in modernizing 3D content production. Its platform helps both professionals and hobbyists create high-quality 3D assets by turning text or images into detailed 3D models in minutes.

Work that once took weeks and could cost as much as $1,000 is now possible in about 2 minutes for just $1. The company’s mission is to make 3D creation faster, easier, and more accessible.

The organization brings together talent from MIT, Stanford, UC Berkeley, Nvidia, Microsoft, and other leading institutions. With team members across North America, Asia, and Oceania, Meshy operates with a globally distributed and collaborative culture.

Backed by major venture investors such as Sequoia and GGV, the company has raised $100 million across Series A and B. It is described as the most popular 3D AI tool in the A16Z Games 2024 report, draws more than 4 million monthly visits according to SimilarWeb, has over 7 million registered users, and has produced more than 70 million 3D models.

Founder and CEO Yuanming (Ethan) Hu has a PhD from MIT in computer graphics and AI. He created Taichi, an open-source GPU programming language with 27K+ GitHub stars and adoption by more than 300 research institutions, and his work has been nominated for the SIGGRAPH Best PhD Thesis Award with 2,700+ academic citations.

Role Overview

Meshy is looking for a Data Analyst Intern to manage two connected areas of work: dashboard migration and proactive analysis. The role involves moving existing dashboards from Databricks, Metabase, and Tableau into Hex, the company’s AI-powered analytics platform, while also performing ad hoc analysis, investigating unusual patterns, and turning data into actionable business recommendations.

The two parts of the role support each other. While rebuilding dashboards, you may spot data anomalies that deserve deeper investigation; while investigating those patterns, you can refine metric definitions and improve chart choices for the new dashboards.

This is a cross-functional project that affects multiple business teams. You will own the process end to end, including scoping with stakeholders, recreating dashboards in Hex with AI assistance, checking data consistency, exploring what the data means, and delivering polished outputs to the right teams. The technical difficulty is intentionally manageable because the underlying data already exists, but success depends on precision, persistence, strong communication, and comfort with new AI tools.

This is not a pure task-completion role. You are expected to think critically about which charts should remain, which metrics should be improved, why certain segments behave differently, and what stakeholders need to know even before they ask.

Responsibilities

• Review dashboards in Databricks, Metabase, and Tableau, then decide the best order for migration.
• Recreate charts and tables in Hex while keeping the results identical to the original versions.
• Set up validation checks such as row-count comparisons, aggregate checks, and sampled dimension-level comparisons.
• Improve dashboards by adding stronger metrics and more useful visualizations where appropriate.
• Track migration progress clearly, including status, ownership, and blockers.
• Engage stakeholders before migrating each dashboard to confirm which charts and metrics are still useful and which can be retired.
• Identify new dimensions or metrics that could make the rebuilt dashboards more useful.
• Push for clearer, standardized, and well-documented metric definitions.
• Use Hex’s AI features to quickly draft chart structures and speed up rebuilding work.
• Apply Python tools such as pandas and plotly for visualizations that need more flexibility than AI-generated outputs provide.
• Experiment with modern Hex workflows such as parameterized notebooks and AI-assisted exploration.
• Check every AI-generated result carefully and verify it before use.
• Look into anomalies discovered during migration, including unexpected trends, KPI changes, or unusual segment behavior.
• Turn stakeholder questions into structured analysis with conclusions and recommended follow-up actions.
• Create short, clear written summaries for non-technical audiences in channels such as Slack, docs, or Hex narrative notebooks.
• Support deeper investigations across growth, retention, conversion, and monetization alongside senior analysts.
• Use a hypothesis-first approach: test ideas with data, adjust based on evidence, and explain the business implication.
• Collaborate with Product, Growth, Marketing, Finance, and other teams to understand how the dashboards are actually used.
• Run brief walkthroughs and handoffs after migration so teams can adopt the new dashboards smoothly.
• Present findings in a way that supports decision-making for non-technical stakeholders.
• Communicate effectively in asynchronous tools such as Slack and Feishu.

Requirements

• Must be currently enrolled in a Bachelor’s, Master’s, or PhD program, preferably in Math, Statistics, Computer Science, Economics, Information Systems, or a related discipline.
• Strong SQL ability, including JOINs, GROUP BY, window functions, and CTEs.
• Practical experience with at least one data visualization tool such as Tableau, Looker, Hex, Metabase, Power BI, or Python visualization libraries.
• Ability to work in both Chinese and English, in written and spoken communication.
• Careful, patient, and accountable, with a mindset that every number must be correct.
• Strong analytical curiosity and the ability to build, test, and revise hypotheses.
• Comfort explaining a business insight in two to three sentences with a clear takeaway for non-technical readers.
• Basic statistical understanding, including mean versus median, sample size intuition, confounding variables, and the difference between correlation and causation.
• Experience using AI tools such as ChatGPT, Claude, or Cursor, with the understanding that outputs must be checked manually.

Preferred Qualifications

• Previous experience using Hex.
• Working knowledge of SaaS, subscription, or growth metrics.
• Python-based data analysis or visualization experience with pandas, plotly, or matplotlib.
• Experience owning a dashboard or data product from start to finish.
• Familiarity with product analytics tools such as PostHog, Amplitude, or Mixpanel.
• Exposure to A/B testing, experiment readouts, or basic causal inference.

What We’re Looking For

• Highly meticulous, with a strong focus on catching data mismatches.
• Proactive in identifying improvements that stakeholders may not have requested.
• Uses AI as an accelerator, not as a substitute for judgment.
• A fast learner who can pick up Hex and Python libraries independently from documentation.
• A clear communicator who can discuss results in business language rather than jargon.

What We Offer

• Competitive pay plus equity, giving you a chance to benefit from company growth.
• The opportunity to help build AI-first data systems in the AIGC space.
• A flat, open, engineering-led culture that encourages initiative and innovation.
• Direct influence on product and business decisions.
• Exposure to experienced AI researchers and product teams, with strong room for growth.
• A benefits package that includes social insurance, housing fund contributions, annual health checkups, paid annual leave, team-building activities, and more.