Marketing Data Analyst

About the Company

Jainam Broking is a rapidly growing stock broking and financial services firm committed to empowering investors through technology, transparency, and trusted advisory. With a strong presence in capital markets and a focus on innovation-led growth, Jainam aims to deliver seamless investing experiences across equity, derivatives, and allied financial products.

As we scale our digital and performance marketing efforts, data-driven decision-making sits at the core of our growth strategy.

About the Role

We are looking for a high-caliber Data Analyst to partner with the Strategy Head in driving data-led decision making across Marketing and Business functions. The role will own marketing impact measurement, ROI analytics, and executive dashboards, while delivering both recurring and ad-hoc insights across acquisition, activation, engagement, and monetization cohorts. This is a high-visibility role operating at the intersection of Strategy, Marketing, Product, and Business.

Strong analytical rigor combined with commercial acumen in fintech or capital markets is essential.

Responsibilities

• Marketing & Business Impact
• Own end-to-end marketing performance measurement across paid, organic, referral, and brand channels.
• Develop full-funnel attribution models: Impression → Click → Install → KYC → Activation → Revenue.
• Evaluate CAC, LTV, ARPU, cohort profitability, payback periods, and marginal ROI.
• Conduct incrementality studies, media mix analysis, and campaign deep-dives.
• Dashboarding & Reporting
• Build and maintain strategy-level dashboards covering acquisition, revenue, engagement, retention, and product adoption.
• Enable self-serve analytics for cross-functional stakeholders.
• Strategic & Business Analytics
• Analyze customer trading behaviour across segments (Equity, F&O, Intraday, MTF, etc.).
• Build segmentation frameworks (new, active, dormant, high-value cohorts).
• Identify growth levers across the customer lifecycle.
• Conduct scenario modelling and forecasting to support business planning.
• Deliver data-backed recommendations to senior leadership.

Qualifications

• Bachelor’s degree in Engineering, Statistics, Mathematics, Economics, Finance, or related field.
• MBA (Analytics / Marketing / Strategy) - preferred.

Required Skills

• Analytical Expertise
• Strong command of funnel analytics, cohort analysis, retention modelling, and unit economics.
• Hands-on experience with attribution modelling and incrementality testing.
• Ability to structure ambiguous business questions into quantitative frameworks.
• Technical Proficiency
• Advanced SQL (mandatory)
• Python for data analysis
• Advanced Excel / Google Sheets
• BI tools (Power BI, Tableau, or equivalent)
• Strong understanding of statistical methods (hypothesis testing, regression)
• Communication & Business Acumen
• Ability to synthesize complex data into clear strategic narratives.
• Experience working with senior stakeholders.
• Strong written and verbal communication skills.

Preferred Skills

• Understanding of stock broking and trading revenue models.
• Familiarity with Equity, Intraday, F&O, and Margin Trading Facility (MTF).
• Awareness of regulatory ecosystem (SEBI understanding is a plus).

Pay range and compensation package

Not specified.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.