What You’ll Be Doing

1. Understand the Product & Business
   • Gain a deep understanding of the product, its business model, and the key levers driving its growth.
   • Use this knowledge to analyze data and ensure ongoing campaign success.
2. Product Analytics Mastery
   • Develop and implement robust analytics schemas to track and analyze user activity within our products (Chatly and Imagine).
   • Design data models that provide clear insights into complex user behavior and translate these into actionable strategies.
   • Utilize Mixpanel to analyze user behavior, track key metrics, and create actionable insights that enhance product performance.
   • Build dashboards and reports within Mixpanel to monitor user engagement, retention, and other critical KPIs.
   • Leverage Mixpanel's advanced features (e.g., cohort analysis, funnels, and retention analysis) to support data-driven decision-making.
3. Forecasting
   • Build predictive models for product metrics using historical and real-time data.
   • Leverage forecasting techniques to anticipate trends and inform decision-making.
4. Perform Deep Analysis & Debugging
   • Provide support for deep, ad-hoc analysis of product and marketing performance.
   • Debug and resolve data-related issues to ensure accurate insights.
5. Track Event Integrations & Tests
   • Collaborate with product teams to oversee and track event testing and integration.
   • Ensure proper implementation and validation of event tracking across tools like GA4 and Mixpanel.
6. Competitive Analysis & Experimentation
   • Analyze top competitors to identify trends, opportunities, and benchmarks.
   • Design and execute experiments to test new growth hypotheses backed by data insights.
7. User Segmentation & Ideal Customer Profiles
   • Build a deep understanding of user segmentation and customer personas.
   • Analyze data to identify our Ideal Customer Profiles (ICP) and recommend strategies to optimize engagement and retention.
8. Growth Funnel Analysis
   • Monitor and analyze growth funnels (Awareness, Acquisition, Activation, Retention, Referral, and Revenue) to identify opportunities for improvement.
   • Collaborate with stakeholders to implement data-driven strategies that enhance product performance and revenue growth.
9. GTM & GA4 Audits
   • Conduct regular audits of Google Tag Manager (GTM) and Google Analytics 4 (GA4) to ensure proper event tracking and integration.
   • Verify that the right events are triggering across tools and platforms, and recommend improvements where necessary.
   • Collaborate with engineers to resolve tracking issues and optimize data collection processes.
10. Data Querying & Reporting
    • Leverage BigQuery, SQL, and other tools to extract, analyze, and visualize data.
    • Write and optimize SQL queries to provide meaningful insights and reports for stakeholders.
    • Present findings in a clear, concise, and actionable manner to both technical and non-technical teams.
11. Cross-Functional Collaboration & Strategy
    • Partner with teams across Product, Growth, and Engineering to develop data-informed strategies.
    • Work closely with vendors and stakeholders to ensure alignment on goals and deliverables.
12. Continuous Improvement
    • Stay updated on the latest trends and tools in product analytics, data visualization, and event tracking.
    • Proactively identify gaps in data tracking and collaborate with engineers to ensure robust data collection processes.

What We’re Looking For

1. Passion
   • A passion for analytics, marketing, product development, and AI.
   • Excitement for unlocking value through data and driving growth.
2. Strong Analytical Mindset
   • Quick to pick up new concepts and unafraid to explore unknowns.
   • Creative and independent problem-solving skills.
3. Hands-On & Ownership-Driven
   • Take full ownership of projects, work proactively, and don’t wait for instructions.
   • Comfortable getting hands dirty to deliver impactful results.
4. Self-Sufficient
   • A self-starter mentality with the ability to thrive in ambiguity.
   • Eagerness to wear multiple hats and a passion for continuous learning.
5. Team Player with a Growth Attitude
   • Open to feedback, aligned with a high-performance, results-driven work culture.
   • Willingness to improve and contribute to a collaborative environment.
6. Fast-Paced
   • Comfortable working in a fast-paced, experiment-driven startup environment.

Must-Have Skills

• Strong command of SQL and Python.
• Solid understanding of growth metrics like ARPU, LTV, Retention, etc.
• Experience in dashboarding using Power BI and Looker Studio.
• Expertise in data validation, cleaning, and preparation.
• Proven ability to translate data insights into real business impact.
• Experience with GA4, Mixpanel, or other product analytics tools.

Nice-to-Have Skills

• Familiarity with Google BigQuery.
• Experience working with SaaS metrics.
• Knowledge of customer journey mapping and growth loops.

Why Join Us?

• Opportunity to work on innovative AI products (Chatly and Imagine) that are shaping the future of user interaction and creativity.
• Collaborate with a passionate and talented team that values data-driven decision-making.
• Competitive salary and benefits package.
• A culture that encourages growth, learning, and innovation.