• Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities • Undertake data collection and implement business product solutions • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions • Design and build technical processes to address business issues • Identify, analyze, and interpret trends or patterns in complex data sets • Perform data consolidation/data analysis and communicate findings in a clear manner to external clients • Communicate directly with internal stakeholders as well as clients to translate business/data challenges into reports, insights, and analysis • Create and maintain dashboards to track partner’s KPI in data visualization software (Data Studio, PowerBI, Tableau) • Develop and implement data collection systems, data analyses and new strategies to measure campaign performances • Create documentation for various types of reports including methodologies, templates in Excel, slides, and/or sheets for training purposes • Work closely with clients, programmers, and functional teams to design business intelligence and operational reporting solutions for decision making and compliance monitoring • Research industry changes & provide insight on how to proceed with new processes • Train, develop and assist on supervising analyst-level employees • Ad-hoc special projects

About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com, read our blog or follow us on LinkedIn. About the Role You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review, summarized results for executive stakeholders, and explained nuanced findings for non-technical audiences. You work with diverse teams who come to you with half-formed problems to refine their needs into answerable questions, answer those questions, and work with them until they understand the implications. What You'll Do Build dashboards using business intelligence software on large relational databases, both customer-facing and for internal customers Develop, support, and optimize semantic data layers used for self-service reporting Perform ad-hoc analyses for stakeholders on a variety of teams, including product, marketing, and engineering Use LookML to describe dimensions, aggregates, calculations and data relationships in a SQL database Collaborate with product and engineering to ensure that the requisite data is being collected to answer questions, drive business decisions, and inform the market Inform schema design and ETL process decision making Improve the end user’s experience through documentation, webinars, and hands-on training Support administration of our business intelligence software Investigate data integrity issues and propose solutions What We're Looking For 3+ year of data analysis or analytics experience Demonstrated experience in querying large data sets and relational databases (SQL) Understanding of the concepts of conditional logic and language syntax of programming languages Experience with web-based business intelligence tools such as Looker, Tableau, Chartio, or similar Strong communication skills Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn! Work Location & Travel Requirements Compensation The starting base pay range for this position is: $100,000 - $120,000 USD per year . Base pay is part of the total compensation package and is determined by a variety of factors such as relevant skills, work experience, business priorities, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits & Perks Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer-subsidized life insurance as well as short-term and long-term disability A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! California residents can view the CCPA disclosure notice here. ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

About the Role We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will transform raw data into actionable insights, support data-driven decision-making, and contribute to business growth by improving reporting and analysis capabilities. Key Responsibilities Collect, clean, and validate data from multiple sources to ensure accuracy and consistency. Develop dashboards, reports, and visualizations using tools like Tableau, Power BI, or Excel. Analyze trends, patterns, and business performance to provide actionable insights. Work closely with business stakeholders to understand data requirements and deliver solutions. Perform ad-hoc data analysis to support strategic and operational decisions. Monitor key performance indicators (KPIs) and prepare regular reports for leadership. Automate recurring data processes and improve efficiency in reporting workflows. Ensure compliance with data governance, privacy, and security policies. Collaborate with cross-functional teams (IT, business, finance, operations) to optimize data-driven processes.

About Meshy Headquartered in Silicon Valley , Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania , fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV , and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 4 0 Million m odels . Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. About the Role We are seeking a data-driven analyst who is passionate about user growth. You will work closely with our growth team to uncover insights from user behavior, identify growth opportunities and bottlenecks, and design actionable data strategies. Your core focus will be building and optimizing our growth funnel, conducting granular user segmentation, and developing strategies for different user groups. You will also evaluate advertising and KOL (Key Opinion Leader) campaign performance, providing key insights to inform user acquisition and monetization success at Meshy. What You’ll Do: Data-Driven Growth Analysis Build, monitor, and continuously optimize the full-funnel growth process from acquisition, activation, and retention to monetization and referral. Analyze conversion rates across funnel stages, identify growth bottlenecks, and deliver actionable optimization recommendations. Evaluate A/B tests and product launches, assessing their impact on key growth metrics to guide product iteration. User Insights & Segmentation Develop and refine user segmentation models based on behavior, lifecycle stage, and business value. Identify and profile key user cohorts such as high-value users and at-risk churn users, uncovering their characteristics and needs. Operational Strategy Support Partner closely with operations, marketing, and product teams to provide data support and strategic input for initiatives like user segmentation and pricing. Measure and optimize the effectiveness of user-focused operational strategies. Marketing Effectiveness Analysis Advertising: Track and analyze campaign performance across acquisition channels, providing insights for budget allocation and optimization. KOL & Content Marketing: Establish frameworks to evaluate KOL marketing ROI and provide data-driven guidance for influencer and content strategies. Metrics Framework & Data Infrastructure Help define and maintain core business metrics, and build dashboards to ensure efficient access to insights. Collaborate with data engineers to ensure data accuracy, completeness, and continuous improvement of growth-related data models. What We're looking for: Required: Bachelor’s degree or higher in Mathematics, Statistics, Computer Science, Economics, or a related field. 3+ years of experience in data analysis, business analysis, or growth analysis within internet-based industries. Experience with SaaS, productivity, or content creation products preferred. Proficiency in SQL and ability to write complex queries for data extraction and aggregation. Skilled in at least one analytics/visualization tool such as Tableau, Power BI, Looker, or Metabase. Strong understanding of statistical analysis and A/B testing principles. Deep understanding of user growth concepts and familiarity with the AARRR (Acquisition-Activation-Retention-Revenue-Referral) framework. Excellent logical thinking, business acumen, and communication skills; able to clearly present complex analytical findings to non-technical stakeholders. Preferred: Experience with dbt or building data infrastructures/schemas. Hands-on experience with user behavior analytics tools such as Amplitude, PostHog, or Mixpanel. Familiarity with attribution tools like Google Analytics or AppsFlyer. Basic understanding of machine learning; experience in building user segmentation, LTV prediction, or churn-forecasting models. Strong interest or background in AIGC, 3D graphics, or digital content creation. Experience using Python or R for data cleaning, analysis, and modeling. Our Values Brain : We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry. Heart : We care deeply about our work, our users, and each other. Empathy and passion drive us forward. Gut : We trust our instincts and are not afraid to take bold risks. Innovation requires courage. Taste : We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful. What We Offer: Competitive salary and equity incentives to share in the company’s success. A unique opportunity to work at the intersection of technology and creativity in the fast-growing AIGC sector. A flat, open, and geek-friendly culture that encourages innovation and self-motivation. Collaboration with top AI experts and product teams for accelerated personal growth. Comprehensive benefits, including full social insurance, annual health checkups, paid vacation, and team-building activities.