CX Senior Analytics Engineer (CDP) - R01562184

Primary Skills

• Manual Testing, Google Tag Management, Cloud VPN, Google Analytics, Automated Testing (ObservePoint, Beacon Tool), Advanced Excel, Debugging Proxy (Charles Proxy, Telerik Fiddler, etc.), DevTools, Adobe Analytics, Jira

Specialization

• Digital Analytics QA Engineer: Data Analyst

Job requirements

• Job Description:
• Digital Analytics Lead Analytics Engineer
• Location: Gurgaon/BLR, India 
• About the Role
•  We are seeking a Lead Analytics Engineer with strong technical expertise in modern web development and hands-on experience in Customer Experience (CX) and Digital Analytics implementation. This role combines engineering excellence with MarTech and data instrumentation—supporting event tracking, data pipelines, customer identity, and audience activation across platforms such as mParticle, Mixpanel, and paid media ecosystems. As a lead, you will guide engineering best practices, oversee implementation quality, and collaborate with cross-functional teams to build scalable and reliable analytics foundations. You will ensure that data collection, CDP integrations, and tracking architectures are robust, performant, and aligned with business needs.
• Key Responsibilities
• Backend & Frontend Development (Light Full Stack Scope)
• • Build and maintain backend services and APIs using PHP/Laravel or Node.js.
• • Develop lightweight frontend interfaces and internal tools using React.
• • Support ingestion pipelines and microservices that enable analytics and CX data flows.
• • Ensure secure and scalable data movement across systems. CX & Digital Analytics Implementation
• • Lead the implementation of event instrumentation, user behavior tracking, and data collection strategies for mParticle and Mixpanel.
• • Define and configure data schemas, identity resolution rules, and event attributes within CDP platforms.
• • Partner with CX, product, and analytics teams to translate tracking requirements into high-quality technical execution. • Support funnel tracking, conversion measurement, and end-to-end customer journey instrumentation. Paid Media & Audience Activation
• • Build and manage paid media audiences using mParticle/Mixpanel integrations (Meta, Google, TikTok, DV360, etc.).
• • Configure audience segmentation, data sync rules, and activation logic.
• • Ensure accuracy, governance, and compliance in audience delivery workflows. Cloud & Deployment
• • Deploy and manage applications on AWS or GCP (baseline cloud proficiency).
• • Utilize cloud services for hosting, storage, and operational workflows.
• • Support CI/CD pipelines and automated deployment processes.
• Leadership & Collaboration
• • Provide technical guidance to junior engineers and analytics implementation teams.
• • Establish best practices for tagging, SDK usage, data quality, and integration architecture.
• • Participate in solution design, code reviews, and technical documentation.
• • Act as a key liaison across engineering, analytics, CX, and marketing teams.
• General Engineering Responsibilities
• • Troubleshoot data quality, API, SDK, and integration issues.
• • Maintain clean documentation for architectures, tracking setups, and implementation logic.
• • Stay updated with modern MarTech, CDP, and analytics engineering trends. ________________________________________
• Qualifications
• • 6–10 years of experience in engineering, analytics implementation, MarTech, or related technical roles.
• • Deep understanding of mParticle, Mixpanel, or similar CDP/analytics platforms.
• • Understanding of PHP (Laravel) or Node.js, along with basic React proficiency.
• • Experience with event schemas, SDK implementation, data contracts, tagging, and tracking strategies.
• • Familiarity with paid media audience activation and MarTech ecosystem integrations.
• • Knowledge of relational/NoSQL databases and cloud platforms (AWS/GCP).
• • Exposure to containerization (Docker; Kubernetes is a plus).
• • Strong debugging, analytical, and communication skills.
• • Proven ability to lead technical implementation and collaborate across functions. Education Bachelor’s or Master’s Degree in Engineering, Computer Science, Information Systems, Mathematics, or related discipline.