Marketing Analyst
Profile Code: AL-ECM-03
- ₹8 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Digital Marketing Analytics | Web Analytics | Customer Acquisition Analysis | Conversion Rate Optimization (CRO) | Customer Segmentation | A/B Testing & Experimentation | SQL | Advanced Excel | Power BI & Dashboards | Google Analytics | Data Visualization | Marketing ROI Analysis
Overview Video
About This Course
A Marketing Analyst measures marketing performance and improves ROI by analyzing channel and campaign data. The role tracks funnel metrics from impressions/clicks to leads, conversions, and revenue using KPIs like CAC, ROAS, CTR, CVR, and LTV (where available). Analysts build dashboards, identify drivers of changes (creative fatigue, targeting, landing page issues), recommend budget allocation, and support experimentation. They often improve measurement hygiene (UTMs, tracking, attribution) and interpret results carefully due to attribution limitations. Tools include GA4, ad platforms, Looker Studio/Power BI, Excel, and SQL in mature teams. The role suits candidates who like growth metrics and cross-functional work and can progress to growth analytics or marketing analytics leadership.
Course Content
4 modules · 10 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Marketing Analysts in the Internet and E-commerce industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, sales analysis, campaign performance tracking, customer segmentation, pricing analysis, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, conversion analysis, revenue forecasting, trend analysis, and interactive dashboards to evaluate marketing performance, optimize campaigns, and support data-driven business decision-making.
SQL Course
The **SQL Course** covers basic to advanced concepts for Marketing Analysts in the Internet and E-commerce industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, customer data extraction, campaign analytics, sales reporting, product performance analysis, data validation, behavioral analytics, and large dataset management to retrieve, transform, and analyze marketing and customer data for strategic decision-making and business growth.
BI Tools Course
The **BI Tools Course** covers basic to advanced business intelligence concepts for Marketing Analysts in the Internet and E-commerce industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, campaign performance dashboards, customer analytics, sales trend analysis, conversion funnel reporting, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, forecasting visualization, performance monitoring, profitability analysis, data storytelling, and business intelligence techniques to transform marketing and sales data into actionable insights for customer acquisition, retention, and business growth.
Retail Systems Course
The **Retail Systems Course** covers basic to advanced concepts for Marketing Analysts in the Internet and E-commerce industry, including retail management fundamentals, product catalog management, order processing, inventory management, pricing management, promotions management, customer relationship management, omnichannel retail operations, point-of-sale integration, warehouse coordination, demand planning, merchandising analytics, customer purchase behavior analysis, workflow automation, reporting, dashboard creation, system integration, performance monitoring, retail analytics, and operational reporting to optimize marketing strategies, improve customer experience, increase sales performance, and support data-driven retail decision-making.
Key Responsibilities
- Analyze digital marketing performance and customer acquisition metrics
- Monitor campaign effectiveness across channels
- Conduct customer segmentation and behavioral analysis
- Measure ROI, conversion rates, and marketing funnel performance
- Develop dashboards and marketing performance reports
- Identify growth opportunities and market trends
- Evaluate pricing, promotions, and competitor activities
- Support A/B testing and experimentation initiatives
- Forecast campaign outcomes and customer lifetime value
- Provide data-driven recommendations to optimize marketing strategies and business growth.
Growth Path
Tools Used
Perfect For
Digital Marketing Professionals | E-commerce Professionals | Marketing Executives | Business Analysts | Growth Marketers | Product Marketers | Data Analysts | MBA Graduates | CRM & Performance Marketing Specialists | Early-Career Internet and E-commerce Aspirants
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Internet / E-commerce
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