Key Responsibilities:

Growth & Marketing Analytics:

- Develop analytics frameworks to measure and improve investor acquisition, activation, engagement, and conversion across digital journeys.

- Build campaign measurement, response analysis, attribution, and marketing ROI frameworks across digital and offline channels.

- Analyze website, mobile app, lead funnel, campaign, and customer journey data to identify conversion and engagement opportunities.

- Develop lead scoring, conversion propensity, next-best-campaign, and audience prioritization models.

- Support experimentation, A/B testing, personalization, and journey optimization initiatives.

Data Science & AI Solutions:

- Build predictive and machine learning models for acquisition, conversion, engagement, and campaign optimization.

- Partner with technology and data engineering teams to deploy scalable analytical solutions, dashboards, and decisioning frameworks.

- Monitor model performance, business outcomes, adoption, and continuous improvement opportunities.

Business Partnering & Executive Communication:

- Convert complex analytical outputs into clear, actionable growth insights for business stakeholders.

- Create high-quality PowerPoint presentations, executive summaries, business cases, and project updates for senior leadership.

- Present findings and recommendations to marketing, digital, product, and sales leadership teams.

Project, People & Vendor Management:

- Lead end-to-end delivery of growth analytics initiatives, from business problem framing through deployment and adoption.

- Coordinate proactively across business, technology, data, and vendor teams to close dependencies and ensure timely execution.

- Guide internal and vendor resources, review deliverables, ensure quality standards, and drive accountability for outcomes.

Qualification & Experience:

- Master's or Bachelors degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, Finance, Business Analytics, or a related quantitative discipline from a reputed institution.

- Minimum 5 years of relevant experience in analytics, data science, machine learning, business intelligence, or a related domain.

- Demonstrated experience in independently driving cross-functional analytics or BI projects from requirement gathering to implementation and adoption.

- Strong project management skills, including planning, prioritization, milestone tracking, dependency management, risk tracking, and issue closure.

- Strong people management skills with ability to guide analysts, data scientists, BI developers, and vendor resources.

- Experience working with external vendors or vendor-payroll teams, including defining deliverables, reviewing quality, and ensuring timely execution.

- Excellent business communication, executive presentation, and PowerPoint skills, with ability to create CXO-ready presentations and business cases.

Required Technical & Functional Skills:

- Growth analytics, digital analytics, marketing analytics, attribution, funnel analytics, campaign measurement, and A/B testing.

- Python, SQL, machine learning, statistical modeling, data visualization, and dashboarding tools such as Power BI or Tableau.

- Understanding of customer acquisition, digital channels, campaign operations, audience segmentation, and conversion optimization.

- Strong PowerPoint, data storytelling, and executive communication skills.

Preferred Experience / Certifications:

- Experience in financial services, mutual funds, banking, insurance, fintech, or digital consumer businesses.

- Exposure to marketing automation, web analytics, app analytics, CDP, CRM, or cloud data platforms.

Common Leadership Competencies:

- High ownership mindset with a proactive approach to coordinating with multiple teams and getting work completed.

- Ability to translate ambiguous business problems into structured analytical workstreams and actionable recommendations.

- Strong data storytelling capability, including the ability to simplify complex analysis for senior leadership and non-technical stakeholders.

- Ability to balance strategic thinking with hands-on execution and quality control.

- Strong problem-solving orientation, attention to detail, and commitment to business impact.

- Ability to operate effectively in a fast-paced, matrix-driven organization.