RunPod provides cost-effective GPU cloud computing services for training, deploying, and scaling AI models.

With GPU Cloud, users can spin up an on-demand GPU instance in a few clicks. With Serverless, users can create autoscaling API endpoints for scaling inference on their models in production.

RunPod was founded in 2022 and is headquartered in New Jersey.

We are growing our Data team at RunPod. As one of our Data Analysts you will interpret data to understand how our users interact with our products and systems. Your insights will directly influence the development of our products and the optimization of our operational processes. This role requires analytical strength, technical skills, and exceptional communication abilities.

At RunPod, you'll have the opportunity to work on cutting-edge technology and significantly impact the AI and ML fields. We encourage you to apply if you're driven by innovation excellence and want to be part of a team that values bold ideas and professional growth. Let's shape the future of technology together!

What You'll Work On:

• Optimize the User Funnel: Use data analytics to enhance user engagement from acquisition to conversion, collaborating with marketing and sales to refine strategies.
• Retention Strategies: Partner with the growth team to devise and implement data-driven retention strategies, utilizing analytics to boost user loyalty.
• Monitor KPIs: Develop and track KPIs for machine reliability, working with the engineering team to ensure optimal performance.
• Cross-Functional Collaboration: Serve as a liaison between technical and non-technical teams, translating data insights into actionable cross-departmental strategies.
• Reporting: Provide regular updates on key metrics and strategic insights to senior management, driving data-informed decisions.

Responsibilities:

• Analyze large, complex datasets to extract actionable insights about users, product performance, and operational efficiency.
• Work closely with cross-functional teams, including engineering, marketing, operations, and sales, to support data-driven decision-making.
• Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Prepare reports and dashboards that use relevant data to communicate trends, patterns, and predictions.
• Collaborate with engineering teams to enhance data collection and analysis processes.
• Present findings and recommendations to stakeholders and executive leadership clearly and compellingly.
• Stay abreast of industry trends and best practices in data analysis and data science.

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. A Master's degree is a plus.
• At least three years of experience in a data analytics role, preferably with user and machine data exposure.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
• Experience with data visualization tools (e.g., Mode, Tableau, or Power BI).
• Experience with data warehousing platforms (e.g., Snowflake, Athena, or Redshift)
• Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights.
• Strong problem-solving skills.
• Successful completion of a background check

Preferred:

• A Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Knowledge of machine learning techniques and algorithms is a plus.
• Experience at an AI, ML, LLM company