MarTech & Analytics Manager

About the Company:

Ventura is an omnichannel trading and investment platform with a network of branches, sub-brokers and Digital Channels. Founded in 1994, the company is entering the next phase of growth by pivoting to a digital-first approach and strengthening its direct-to consumer

franchise. The company has carved out a separate fintech vertical tasked with digital transformation using cutting-edge technology and bringing in fresh talent.

We are looking for an experienced and analytical Manager MarTech & Analytics to lead our multi-channel lifecycle campaigns, marketing automation, and attribution tracking.

In this role, you will take hands-on ownership of our customer communication stack (WhatsApp, Push, Email, SMS, RCS) and run performance analytics across user onboarding, activation, and retention funnels. You will act as the operational bridge between marketing, product, and data teams to ensure clean tracking, accurate attribution, and measurable business growth.

Join us if you like to:

• Work on data across all channels including App, Web, Email, SMS, WhatsApp etc
• Analyze large sets of data in Excel, Databases and standalone customer data platform
• Troubleshoot and resolve, issues related to analytics integrations events, screenviews etc
• Present data to internal teams as well as senior management
• Collaborate cross-functionally with product management, content, SEO, Social Medi users, project managers and other engineers to gather data requirements and create BRDs

1. Marketing Automation & Campaign Execution

• Own end-to-end campaign operations on WebEngage (or CleverTap / MoEngage), including automated lifecycle journeys, behavioral triggers, and targeted broadcast campaigns.
• Manage multi-channel deliverability and routing across WhatsApp (WABA), App Push Notifications, Rich Communication Services (RCS), Email (ESPs), and SMS.
• Continuously design and run A/B tests on messaging, creatives, send-time optimization, and cohort logic to drive conversions across key milestones (e.g., KYC completion, fund pay-in, first trade).
• Monitor channel health, vendor APIs, DLT/template approvals, and drop-offs to maintain high delivery rates.

2. Tracking, Attribution & Performance Analytics

• Configure, test, and manage tracking links and deep links across our Mobile Measurement Partner (Singular or AppsFlyer) to track web-to-app installs, campaigns, and in-app events accurately.
• Analyze user journeys, conversion funnels, and drop-off points using Google Analytics (GA4) and Firebase.
• Work closely with engineering and BI teams to validate tracking parameters (utm_*, dynamic link arguments), SDK events, and webhook postbacks into our internal databases.

3. Data Analysis, SQL & Business Reporting

• Write SQL / PostgreSQL queries to extract customer cohorts, audit campaign logs, and perform funnel drop-off analysis directly from databases.
• Connect marketing and campaign performance to core business KPIs: CAC, Cost Per Lead (CPL), ARPU, LTV, churn, and activation rates.
• Build executive dashboards, campaign performance summaries, and management presentations using Advanced Excel (shortcuts, nested logic, pivot tables) and PowerPoint.

4. Cross-Functional Operations

• Coordinate smoothly with internal design, product, tech, and call center/telecalling teams to launch and monitor campaigns on schedule.
• Maintain campaign workflows, track deliverables, and manage operational tickets using Jira and Confluence.
• Adapt to evolving business priorities with a proactive, problem-solving mindset.

What youll need to bring:

• 3 to 7 years of proven, hands-on experience in marketing automation, campaign execution, and digital analytics.
• Prior experience in the Indian retail stockbroking, wealthtech, or fintech ecosystem is strongly preferred (clear understanding of Demat/Trading accounts, KYC funnels, and market segments like Equity, F&O, and MTF).
• Deep hands-on experience with WebEngage, CleverTap, or MoEngage.
• Practical working knowledge of Singular (or AppsFlyer) and Google Analytics (GA4).

• Technical & Data Skills:
• Solid working knowledge of SQL / PostgreSQL (ability to read tables, join datasets, and verify user cohorts).
• Advanced proficiency in MS Excel and PowerPoint for executive reporting and data visualization.
• Basic understanding of how webhooks, APIs, and URL parameters interact between front-end channels and backend databases.
• Familiarity with Python for data analysis is a good plus, but not mandatory.
• Strong written and verbal communication skills; comfortable collaborating across teams in a fast-paced environment.