Posted May 20, 2026
Before migrating each dashboard, proactively engage stakeholders:
Which charts and metrics are still actively used? Which can be deprecated? - What additional dimensions or metrics would they want in the new version? - Identify opportunities to enrich data and sharpen metric definitions so business teams can pinpoint issues more accurately. Push for standardized, documented metric definitions. ## Qualifications required
Currently pursuing a Bachelor’s, Master’s, or PhD degree (Math, Stats, CS, Economics, Information Systems, or related fields preferred). - Solid SQL (JOINs, GROUP BY, window functions, CTEs). - Hands-on experience with at least one data visualization tool (Tableau, Looker, Hex, Metabase, Power BI, or Python visualization libraries). - Fluent in both Chinese and English (written and verbal). - Detail-oriented, patient, and accountable. Migration work demands "every number must be right."
Curiosity-driven analytical mindset. Can form a hypothesis, test it with data, and revise based on findings. Doesn't just describe what the numbers show — asks why. - Comfortable communicating a business insight to a non-technical audience in 2 to 3 sentences, with a clear "so what."
Basic statistical literacy. Understands mean vs median, sample size intuition, awareness of confounding variables, and the difference between correlation and causation. - Practical experience using AI tools (ChatGPT, Claude, Cursor) with awareness that AI outputs must be verified. ## Preferred qualifications
Prior Hex experience. - Basic understanding of SaaS, subscription, or growth metrics. - Python data analysis or visualization (pandas, plotly, matplotlib). - Has previously owned a dashboard or data product end-to-end. - Familiarity with product analytics tools (PostHog, Amplitude, Mixpanel). - Exposure to A/B testing, experiment readouts, or causal inference basics. ## What We're Looking For
Meticulous. Silent data mismatches are the biggest enemy of a migration project. - Proactive. Surface improvements the stakeholder didn't ask for. - Uses AI but doesn't trust it blindly. Accelerator, not authority. - Fast learner. Can pick up Hex and Python libraries from docs without hand-holding. - Clear communicator. Talks to non-data teams in business language, not jargon. ## What We Offer
Competitive compensation and equity, allowing you to share in the company's growth
Opportunity to build AI-first data systems at the forefront of the AIGC industry
Flat, open, and engineering-driven culture that encourages innovation and self-motivation
Direct impact on product and business decisions
Collaboration with top-tier AI researchers and product teams, with strong personal growth opportunities
Comprehensive benefits package (social insurance, housing fund, annual health checkups, paid annual leave, team-building activities, etc.)
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