Data & Insights Lead

Role Overview

The Marketing Analytics Lead will be responsible for leading the strategy, development, and

execution of marketing analytics initiatives across AppliedAI. You will partner with cross-functional teams (Marketing, Product, Growth, Data Science, and Leadership) to define KPIs, build advanced models, and provide actionable insights that shape acquisition, retention, and engagement strategies. This is both a hands-on and strategic leadership role, requiring strong technical skills and the ability to influence stakeholders.

Key Responsibilities

Analytics Leadership

• Define and oversee the marketing analytics roadmap to support business growth.
• Lead a small but high-impact team of analysts and data scientists.
• Champion a data-driven decision-making culture within the marketing organization.

Performance Optimization

• Develop and operationalize predictive models (e.g., churn, lookalike, LTV) to drive acquisition and retention.
• Conduct marketing mix modeling and media spend optimization to maximize ROI.
• Partner with campaign managers to run A/B testing and experimental frameworks.

Insights & Reporting

• Build dashboards and executive reports tracking CAC, CTR, ROI, retention, and engagement KPIs.
• Translate complex data into actionable insights and storytelling for senior leadership.
• Guide customer segmentation strategies and targeted communications.

Cross-functional Collaboration

• Work closely with Product, Loyalty, and Growth teams to align analytics with company goals.
• Ensure analytics solutions are integrated into business workflows for real impact.

Qualifications

Experience: 6–10 years of progressive experience in marketing analytics, data science, or

business intelligence, preferably in fast-growing technology, SaaS, or e-commerce

environments.

Technical Skills:

• Proficiency in SQL, Python, and statistical modeling.
• Hands-on experience with tools such as Power BI, Data Studio, Mixpanel, GA4,
• Appsflyer, and Dataiku.
• Familiarity with predictive modeling, churn analysis, cohort analysis, and marketing mix modeling.

Business Acumen: Strong understanding of digital and offline marketing channels,

campaign optimization, and customer lifecycle strategies.

Leadership: Demonstrated ability to mentor and lead analytics professionals.

Education: Bachelor’s degree in Computer Science, Engineering, Statistics, or related field

(Master’s degree preferred).

Preferred Attributes

• Strong communication and data storytelling skills for influencing stakeholders.
• Experience with big data platforms (GCP, AWS, Azure, Hadoop).
• Knowledge of prescriptive and generative AI/LLM applications in marketing analytics.
• Certified in GA4, Mixpanel, or equivalent advanced analytics platforms.

What We Offer

• Opportunity to shape the marketing analytics strategy at a leading AI company.
• Exposure to cutting-edge AI/ML applications in real-world business contexts.
• Collaborative, innovative, and growth-driven work environment.
• Competitive compensation, benefits, and career advancement opportunities.