Marketing Analyst- Upto 15LPA

5 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

We are Hiring for a Fintech Startup based out in Bangalore location.


Responsibilities:


● Build and manage marketing dashboards to track performance across channels (paid, organic, outbound, PR, events) with a detailed understanding of channel operations.

● Map and analyze end-to-end customer journeys to identify friction points, optimize engagement, and improve lifetime value.

● Analyze funnel metrics (MQL to SQL to Opportunity to Revenue) to identify bottlenecks and improve conversion rates.

● Perform forecasting and predictive analysis for the various business units.

● Perform cohort, retention, and churn analysis, with a focus on power user behaviors and feature-level adoption patterns.

● Partner with Paid Inbound, Outbound, SEO, and Product Marketing teams to provide insights on CAC, ROI, and pipeline contribution.

● Own marketing attribution modeling and recommend budget allocation across channels.

● Conduct feature usage and product adoption analysis to uncover cross-sell, upsell, and expansion opportunities.

● Provide regular reports on marketing efficiency, spend vs ROI, retention drivers, and pipeline health for leadership.

● Support A/B testing, personalization, and campaign optimization with actionable data insights.

● Conduct competitive and industry benchmarking to guide growth strategy.


Requirement:-


● 3–5 years experience as a Marketing Analyst/Business Analyst in SaaS, Fintech, or B2B organisations.

● Familiarity with product analytics and journey tools such as Google Tag Manager, Google Analytics 4, Hotjar, Microsoft Clarity, Mixpanel, Amplitude, Heap, or Userpilot.

● Hands-on experience with CRM & marketing automation platforms (HubSpot, Salesforce, Clevertap).

● Strong skills in SQL, Excel, and BI tools (Tableau, Power BI, Looker) will be an added advantage.

● Deep understanding of marketing funnels, CAC, ROI, attribution models, retention frameworks, and customer lifecycle metrics.

● Strong analytical mindset and excellent communication skills to translate complex data into clear business insights for leadership.

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