• Play a critical role in the design, implementation, and delivery of modern digital measurement and data solutions for our customers • Focus on implementing and managing digital analytics platforms, event tracking frameworks, customer data platforms, and data pipelines that power marketing measurement and advanced analytics initiatives • Work closely with marketing teams, engineers, and data stakeholders to ensure reliable, scalable, and accurate data collection across web and mobile platforms

• Be responsible for the quality, consistency, and governance of the company's data • Design, build, and maintain analytical models in the Data Warehouse • Develop and evolve data pipelines within modern data architectures • Work with Data Lake and Data Warehouse in an integrated manner • Build scalable, high-performance ETL and ELT processes • Collaborate with the Engineering team to define events, schemas, and data contracts • Support the AI team with reliable data for training, analysis, and experimentation • Ensure data is ready for consumption by BI, Product, and AI teams • Contribute to defining the company's data architecture and best practices

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. About the role This role is for our first-ever product analytics engineering hire, and a fundamental and critical part of the team for a market-defining company in its early stages. We’re looking for a passionate product analytics engineer to ensure every team at Runway uses data to be as effective as possible in their role. This role is for someone who has a combination of strong technical and data background and experience in understanding the needs of cross-functional partners across every team. You have the ability to take raw data and build tools and platforms on top of it for people to self-serve what they need. You’ll deeply understand what data we have, how we can better use it, and how to leverage AI tooling both for yourself and our teams to provide speed-of-thought data insights across the company. You’ll be excited to combine prior expertise with the rapidly changing areas of ML, tooling integrations, and our product data in order to do so. What you’ll do - Own the data infrastructure and pipelines for business critical product and user data - Conceptualize and build best-in-class internal tools enabling others to increasingly self-serve data needs - Take an AI-first approach to scaling Runway’s data tooling and use. You’ll provide the two necessary things that today’s AI systems lack – trust and total context – so data can help drive key decisions in the right direction - Work with sales and finance to ensure billing, revenue recognition, margin analysis, and other key financial metrics are accurate as products and go to market motions rapidly develop - Work with product and engineering to ensure critical usage data is available and interpreted in useful ways - Collaborate with with trust and safety teams on signals for detecting misuse or abuse - Collaborate with marketing and studios teams to help measure impact of all marketing initiatives - Build and maintain our data pipelines and third party tools that others use for dashboarding and analysis What you’ll need - 4+ years of experience working as a data analyst, engineer, scientist or similar, where your primary responsibility involved working heavily with product data - 4+ years of experience with SQL, ETL, python, and data modeling - Collaborative mindset and communication skills; Comfortable working directly with sales, product, finance, and engineering teammates. You can translate data needs into solutions, gather context needed to unblock yourself, and build tooling that any teammate is comfortable using - Understanding of best practices for data modeling, manipulation, transformation, and maintaining privacy - An added bonus if you have experience as a founding product data analyst or first hire in a data role Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator - GWM-1 - Gen-4.5 - General World Models - Robotics SDK - Conversational Real-time Agents - Runway Studios We're excited to be recognized as a best place to work: Crain's | InHerSight | BuiltIn NYC | INC

LearnTastic is a fast-growing online education platform providing accredited continuing-education and compliance courses for professionals across industries-from healthcare and construction to HR and education. With more than 1,000 courses and over a million learners served, LearnTastic is redefining accessible, self-paced learning. Our mission is to make professional development simple, engaging, and impactful-anytime, anywhere. As part of our dynamic team, you’ll help shape the learning experiences that empower individuals and organizations nationwide. At LearnTastic, great design isn’t just about usability-it’s about transforming how people learn and grow. Job description We are seeking a detail-oriented and proactive Data Analytics Specialist to drive data-driven insights across the organization. This role will play a key part in enabling cross-functional collaboration and working closely with the development team to enhance and strengthen backend analytics systems. The ideal candidate combines strong analytical skills with technical expertise and business acumen. The ideal candidate should have strong expertise in marketing analytics, attribution, GA4, BI tools, and the ability to collaborate closely with cross-functional teams while independently driving insights and follow-ups. Key Responsibilities: - Analyze large datasets to uncover actionable insights that support strategic decision-making - Develop and maintain dashboards, reports, and visualizations for stakeholders - Collaborate with cross-functional teams (product, engineering, marketing, operations) to understand data needs and deliver solutions - Work closely with the development team to design, optimize, and scale backend analytics infrastructure - Define and track key performance indicators (KPIs) and metrics - Ensure data quality, consistency, and integrity across systems - Translate complex data findings into clear, concise business recommendations - Support A/B testing, forecasting, and predictive analytics initiatives - Identify opportunities to automate reporting and improve data processes - Build, maintain, and optimize dashboards and reporting frameworks using tools like Power BI and Looker - Analyze funnel performance (traffic → registration → conversion → revenue) and identify key drop-offs and growth opportunities - Work extensively with GA4, ensuring accurate tracking, event setup, and attribution - Collaborate with development and product teams to improve backend tracking, data pipelines, and analytics implementation - Ensure data accuracy and consistency across GA4, backend systems, and BI tools - Generate actionable insights and proactively highlight performance issues, trends, and opportunities - Define and track key KPIs across marketing and business functions - Identify and resolve discrepancies between platforms (e.g., GA4 vs Ads vs backend data) - Automate reporting processes to improve efficiency and reduce manual effort - Work closely with stakeholders to translate business requirements into analytical solutions - Proactively follow up with teams to ensure implementation of tracking, reporting, and data fixes - Own and manage end-to-end reporting and analytics across marketing channels (Google Ads, Bing, Meta, Affiliate, etc.) Required Qualifications: - Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field - 2–5+ years of experience in data analytics or a similar role - Strong proficiency in SQL and at least one programming language (Python or R preferred) - Experience with data visualization tools (Tableau, Power BI, Looker) - Solid understanding of data modeling and database design - Experience working with backend systems and data pipelines - Strong analytical thinking and problem-solving skills - Exposure to A/B testing, forecasting, and predictive analytics - Experience in EdTech, SaaS, or performance marketing-driven businesses Preferred Qualifications: - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with ETL processes and tools - Knowledge of statistical analysis and machine learning techniques - Experience in agile environments and working closely with engineering teams Key Competencies: - Strong communication and storytelling with data - Ability to work collaboratively across teams - Attention to detail and data accuracy - Proactive and solution-oriented mindset Benefits: - Working hours: 5am-2pm CST - 20 days of annual leave. - National holidays of your country of residence are observed. - Learning and development opportunities. This is a remote opportunity