• 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 • 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 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

• Design, build, and maintain the data models in Snowflake using dbt that power product analytics—from raw source data through to business-ready, well-documented datasets • Define and maintain metrics frameworks and KPIs that drive product and business decisions across the organization • Build interactive dashboards and self-service reports in Sigma that empower stakeholders to explore data and answer their own questions • Design instrumentation strategies with engineering teams to ensure we’re capturing the right signals from Ncontracts’ product suite • Partner with product managers to translate fuzzy questions (“why is this feature underperforming?”) into precise, answerable analyses • Conduct deep-dive analyses including funnel analysis, cohort analysis, and root cause investigations to surface product insights • Own data quality end-to-end, including dbt tests, validation, documentation, and monitoring across all models • Optimize query performance and warehouse costs in Snowflake through efficient modeling patterns, materialization strategies, and resource monitoring • Establish and enforce data governance standards, including naming conventions, documentation requirements, and consistent metric definitions to maintain a single source of truth • Contribute to the evolution of the data platform by evaluating new tools, technologies, and best practices

• Build and maintain clean, scalable data models and pipelines to support marketing analytics and reporting using tools like Snowflake, dbt, and Databricks • Collaborate closely with Marketing stakeholders to understand business goals and translate them into data requirements and insightful data products • Develop and maintain user-friendly BI solutions to monitor marketing performance, campaign effectiveness, and key KPIs • Build data models that match our robust data governance, data quality, and documentation • Lead the development of self-service analytics tools that empower Marketing team members to independently explore data • Drive the implementation of best practices in data modeling, performance optimization, and reporting workflows

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