As the first Data Analyst at RunPod, 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.

Description

Company Overview:

RunPod is a fast-growing start-up that empowers developer teams to deploy custom, full-stack AI apps simply and at scale. We seek a talented and experienced Data Analyst to join our dynamic team. The ideal candidate will have a strong background in data analytics, with specific experience analyzing user and machine data to drive insights that inform strategic business decisions.

Key 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.

Required Qualifications:

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.

Preferred Qualifications:

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

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.

Compensation Package:

RunPod’s compensation package comprises three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements to be highly competitive with market rates. On top of this position’s salary, equity will be a component of total compensation. The exact amount will be communicated at the time of offer issuance.

Join Us:

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!

Non-Discrimination in Hiring Practices:

RunPod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. Our hiring practices are designed to ensure fairness, objectivity, and inclusiveness, adhering to all applicable laws and regulations regarding nondiscrimination.

RunPod strictly prohibits discrimination in any aspect of employment, including recruitment, hiring, training, promotion, compensation, benefits, and termination, based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or any other legally protected status. This policy applies to all employees, contractors, consultants, temporary workers, and job applicants.