Marketing Analyst

Weekday AI (YC W21)

3 years

8 - 12 Lacs

bengaluru karnataka india

Posted:1 day ago| Platform:

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Skills Required

marketing analyze data crm ads analytics ai automation reporting forecasting automate effectiveness research drive retention engagement strategies content design support strategy hubspot tableau power extract reports communication collaboration segmentation personalization seo

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of Weekday's clientsSalary range: Rs 800000 - Rs 1200000 (ie INR 8-12 LPA)Min Experience: 3 yearsLocation: BengaluruJobType: full-time

Requirements

Key Responsibilities

Analyze data across CRM, paid ads, social, and web analytics to uncover trends and performance insights
Use AI-powered tools (e.g., ChatGPT, GenAI dashboards, automation platforms) to enhance reporting, forecasting, and analysis
Build and automate dashboards to track KPIs, campaign effectiveness, and ROI
Conduct market and competitor research using both traditional and AI-enhanced approaches
Drive customer acquisition, retention, and engagement strategies based on data insights
Collaborate with Content, Product, and Sales teams to align analytics with business goals
Design and execute A/B tests, run experiments, and support predictive modeling initiatives

What You Bring

3+ years of experience in marketing analytics, growth strategy, or business intelligence
Strong command of tools such as GA4, HubSpot, Tableau, Power BI, or similar platforms
Proficiency with AI/GenAI platforms for marketing insights and automation
Ability to extract actionable insights from complex data and translate them into business impact
Experience building dashboards and reports to support growth and performance tracking
Excellent communication and collaboration skills

Nice to Have

Hands-on experience with predictive modeling, segmentation, and personalization using AI
Familiarity with multiple digital marketing channels (SEO, SEM, email, paid ads, social)
Knowledge of marketing automation and attribution modeling tools

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