Senior Data Analyst

Posted 4 Days Ago
Hiring Remotely in US
Remote
Mid level
3D Printing • Artificial Intelligence • Information Technology • Internet of Things
The Role
The Senior Data Analyst will analyze and visualize business data, design data architecture, manage data collection, develop ETL processes, and collaborate with cross-departmental teams to implement data-driven strategies for business growth.
Summary Generated by Built In
About Meshy

Headquartered in the Silicon Valley, Meshy is a leading 3D generative AI company on a mission to Unleash 3D Creativity. We simplify the creation of distinctive 3D assets for both professional artists and hobbyists by transforming text and images into stunning 3D models in minutes.

Our global team of 30 experts in computer graphics, AI, and art includes alumni from MIT and Harvard, as well as veterans from Nvidia, Microsoft, and Google. With 1 million users, Meshy is trusted by Supercell, Sega, Snap, and backed by top venture capital firms like GGV and Sequoia.

 

Responsibilities

  • Data Analysis and Visualization: Gain deep insights into the company’s business, produce data analysis reports, create real-time dashboards using data visualization tools, and support business decision-making.

  • Data Architecture Design: Design and build the company's data infrastructure, including data warehouses, data lakes, and data pipelines, ensuring efficient data storage and processing.

  • Data Collection and Processing: Extract, clean, and integrate data from various sources, ensuring high data quality, accuracy, and consistency.

  • Cross-Department Collaboration: Work closely with teams such as Product, Marketing, and R&D to implement data-driven recommendations that drive business growth.

  • ETL Process Development: Develop and maintain ETL (Extract, Transform, Load) processes to ensure timely updates and availability of data.

Requirements

  • Bachelor’s degree or higher in Computer Science, Data Science, Statistics, or a related field.

  • 3-5 years of experience in data-related roles, with proficiency across the entire data lifecycle (database management, ETL, data analysis, and visualization).

  • Expertise in SQL and familiarity with programming languages such as Python, Java, or Scala.

  • Proficient with ETL tools and data warehouse technologies, with knowledge of common statistical analysis models and machine learning frameworks.

  • Familiarity with SaaS product analysis methods, including user funnel analysis, cohort analysis, customer acquisition cost (CAC), and customer lifetime value (CLV).

  • Entrepreneurial mindset with excellent communication, cross-team collaboration, quick learning, and problem-solving skills.

  • Preferred: Experience in the SaaS industry or building data analytics systems from scratch in a startup environment.

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.

Why Join Meshy?

  • Competitive salary, equity, and benefits package.

  • Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.

  • Flexible work environment, with options for remote and on-site work.

  • Opportunities for fast professional growth and development.

  • An inclusive culture that values creativity, innovation, and collaboration.


Top Skills

Data Warehouse Technologies
Etl Tools
Java
Machine Learning Frameworks
Python
Scala
SQL
Statistical Analysis Models
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The Company
San Jose, California
27 Employees
On-site Workplace

What We Do

Meshy empowers artists, game developers, and creators to bring their visions to life with a toolkit for creating 3D models in seconds

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