MarTech Consultant
Capgemini
MarTech Consultant
Job Description
MarTech Consultant
📋 Job Overview
The MarTech Consultant role at Capgemini Invent's frog focuses on leveraging Adobe Experience Cloud tools to optimize customer experiences through data analytics and personalization. The position involves troubleshooting data implementations, configuring tags, and analyzing performance metrics to drive sustainable growth for customer-centric enterprises. Join a collaborative global network to innovate in marketing technology and make a meaningful impact on business outcomes.
📍 Location: Gurgaon
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Interpret and troubleshoot data layer implementations to ensure analytics accuracy
- Apply strong grasp of digital attribution models, UTM frameworks, and performance metrics
✅ Required Qualifications
- 8+ years of hands-on experience in Adobe Analytics, with deep expertise in Workspace analysis, custom variable (eVar/prop/event) implementation, advanced segmentation, and calculated metric creation
- Hands-on experience with Adobe Launch for tag configuration, rule creation, and third-party pixel deployment
- Working knowledge of Customer Journey Analytics (CJA) and data integration via Adobe Experience Platform
- Familiarity with Adobe Target for A/B testing and audience personalization
- Solid understanding of JavaScript, HTML, DOM structure, and browser-based debugging tools
- Experience using QA tools such as Adobe Experience Platform Debugger, Omnibug, etc.
⭐ Preferred Qualifications
- Experience with SQL for querying backend datasets
- Familiarity with server-side tagging, edge collection, or API-based data extraction
🛠️ Required Skills
- Adobe Analytics (Workspace analysis, eVar/prop/event implementation, advanced segmentation, calculated metrics)
- Adobe Launch (tag configuration, rule creation, third-party pixel deployment)
- Customer Journey Analytics (CJA)
- Adobe Experience Platform (data integration)
- Adobe Target (A/B testing, audience personalization)
- JavaScript
- HTML
- DOM structure
- Browser-based debugging tools
- QA tools (Adobe Experience Platform Debugger, Omnibug)
- Digital attribution models
- UTM frameworks
- Performance metrics
- SQL (preferred)
- Server-side tagging
- Edge collection
- API-based data extraction
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours for work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
- Inclusive and engaging culture with emphasis on community and positivity
Locations
- Gurgaon, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Adobe Analytics (Workspace analysis, eVar/prop/event implementation, advanced segmentation, calculated metrics)intermediate
- Adobe Launch (tag configuration, rule creation, third-party pixel deployment)intermediate
- Customer Journey Analytics (CJA)intermediate
- Adobe Experience Platform (data integration)intermediate
- Adobe Target (A/B testing, audience personalization)intermediate
- JavaScriptintermediate
- HTMLintermediate
- DOM structureintermediate
- Browser-based debugging toolsintermediate
- QA tools (Adobe Experience Platform Debugger, Omnibug)intermediate
- Digital attribution modelsintermediate
- UTM frameworksintermediate
- Performance metricsintermediate
- SQL (preferred)intermediate
- Server-side taggingintermediate
- Edge collectionintermediate
- API-based data extractionintermediate
Required Qualifications
- 8+ years of hands-on experience in Adobe Analytics, with deep expertise in Workspace analysis, custom variable (eVar/prop/event) implementation, advanced segmentation, and calculated metric creation (experience)
- Hands-on experience with Adobe Launch for tag configuration, rule creation, and third-party pixel deployment (experience)
- Working knowledge of Customer Journey Analytics (CJA) and data integration via Adobe Experience Platform (experience)
- Familiarity with Adobe Target for A/B testing and audience personalization (experience)
- Solid understanding of JavaScript, HTML, DOM structure, and browser-based debugging tools (experience)
- Experience using QA tools such as Adobe Experience Platform Debugger, Omnibug, etc. (experience)
Preferred Qualifications
- Experience with SQL for querying backend datasets (experience)
- Familiarity with server-side tagging, edge collection, or API-based data extraction (experience)
Responsibilities
- Interpret and troubleshoot data layer implementations to ensure analytics accuracy
- Apply strong grasp of digital attribution models, UTM frameworks, and performance metrics
Benefits
- general: Flexible work arrangements including remote work and flexible hours for work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
- general: Inclusive and engaging culture with emphasis on community and positivity
Tags & Categories
Answer 10 quick questions to check your fit for MarTech Consultant @ Capgemini.
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MarTech Consultant
Capgemini
MarTech Consultant
Job Description
MarTech Consultant
📋 Job Overview
The MarTech Consultant role at Capgemini Invent's frog focuses on leveraging Adobe Experience Cloud tools to optimize customer experiences through data analytics and personalization. The position involves troubleshooting data implementations, configuring tags, and analyzing performance metrics to drive sustainable growth for customer-centric enterprises. Join a collaborative global network to innovate in marketing technology and make a meaningful impact on business outcomes.
📍 Location: Gurgaon
💼 Experience Level: Experienced Professionals
🏢 Business Unit: INVENT
🎯 Key Responsibilities
- Interpret and troubleshoot data layer implementations to ensure analytics accuracy
- Apply strong grasp of digital attribution models, UTM frameworks, and performance metrics
✅ Required Qualifications
- 8+ years of hands-on experience in Adobe Analytics, with deep expertise in Workspace analysis, custom variable (eVar/prop/event) implementation, advanced segmentation, and calculated metric creation
- Hands-on experience with Adobe Launch for tag configuration, rule creation, and third-party pixel deployment
- Working knowledge of Customer Journey Analytics (CJA) and data integration via Adobe Experience Platform
- Familiarity with Adobe Target for A/B testing and audience personalization
- Solid understanding of JavaScript, HTML, DOM structure, and browser-based debugging tools
- Experience using QA tools such as Adobe Experience Platform Debugger, Omnibug, etc.
⭐ Preferred Qualifications
- Experience with SQL for querying backend datasets
- Familiarity with server-side tagging, edge collection, or API-based data extraction
🛠️ Required Skills
- Adobe Analytics (Workspace analysis, eVar/prop/event implementation, advanced segmentation, calculated metrics)
- Adobe Launch (tag configuration, rule creation, third-party pixel deployment)
- Customer Journey Analytics (CJA)
- Adobe Experience Platform (data integration)
- Adobe Target (A/B testing, audience personalization)
- JavaScript
- HTML
- DOM structure
- Browser-based debugging tools
- QA tools (Adobe Experience Platform Debugger, Omnibug)
- Digital attribution models
- UTM frameworks
- Performance metrics
- SQL (preferred)
- Server-side tagging
- Edge collection
- API-based data extraction
🎁 Benefits & Perks
- Flexible work arrangements including remote work and flexible hours for work-life balance
- Career growth programs and diverse professional opportunities
- Valuable certifications in latest technologies such as Generative AI
- Inclusive and engaging culture with emphasis on community and positivity
Locations
- Gurgaon, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Adobe Analytics (Workspace analysis, eVar/prop/event implementation, advanced segmentation, calculated metrics)intermediate
- Adobe Launch (tag configuration, rule creation, third-party pixel deployment)intermediate
- Customer Journey Analytics (CJA)intermediate
- Adobe Experience Platform (data integration)intermediate
- Adobe Target (A/B testing, audience personalization)intermediate
- JavaScriptintermediate
- HTMLintermediate
- DOM structureintermediate
- Browser-based debugging toolsintermediate
- QA tools (Adobe Experience Platform Debugger, Omnibug)intermediate
- Digital attribution modelsintermediate
- UTM frameworksintermediate
- Performance metricsintermediate
- SQL (preferred)intermediate
- Server-side taggingintermediate
- Edge collectionintermediate
- API-based data extractionintermediate
Required Qualifications
- 8+ years of hands-on experience in Adobe Analytics, with deep expertise in Workspace analysis, custom variable (eVar/prop/event) implementation, advanced segmentation, and calculated metric creation (experience)
- Hands-on experience with Adobe Launch for tag configuration, rule creation, and third-party pixel deployment (experience)
- Working knowledge of Customer Journey Analytics (CJA) and data integration via Adobe Experience Platform (experience)
- Familiarity with Adobe Target for A/B testing and audience personalization (experience)
- Solid understanding of JavaScript, HTML, DOM structure, and browser-based debugging tools (experience)
- Experience using QA tools such as Adobe Experience Platform Debugger, Omnibug, etc. (experience)
Preferred Qualifications
- Experience with SQL for querying backend datasets (experience)
- Familiarity with server-side tagging, edge collection, or API-based data extraction (experience)
Responsibilities
- Interpret and troubleshoot data layer implementations to ensure analytics accuracy
- Apply strong grasp of digital attribution models, UTM frameworks, and performance metrics
Benefits
- general: Flexible work arrangements including remote work and flexible hours for work-life balance
- general: Career growth programs and diverse professional opportunities
- general: Valuable certifications in latest technologies such as Generative AI
- general: Inclusive and engaging culture with emphasis on community and positivity
Tags & Categories
Answer 10 quick questions to check your fit for MarTech Consultant @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs