Data Analytics Engineer - Marketing Analytics & BI

This role is for one of the Weekday's clients

Salary range: Rs 550000 - Rs 1200000 (ie INR 5.5-12 LPA

Requirements

Key Responsibilities

• Implement and maintain marketing analytics solutions across GA4, GTM, and CDPs such as Segment or RudderStack
• Build, manage, and optimize data pipelines using BigQuery, Snowflake, or Redshift
• Integrate ad platforms (Google Ads, Meta, LinkedIn, TikTok) for accurate marketing performance tracking
• Design and deploy tracking plans using tools like Google Tag Manager
• Automate reporting workflows and create dashboards using Looker Studio, Power BI, or Looker Enterprise
• Collaborate with clients to understand business needs and deliver technical solutions aligned with goals
• Ensure accuracy, consistency, and reliability of data across platforms
• Troubleshoot and refine marketing attribution models
• Work hands-on with product analytics platforms such as Mixpanel, Amplitude, or Heap
  

Requirements

• 1+ years of experience in marketing analytics, data engineering, or related fields
• Strong expertise in GA4, GTM, and server-side tagging (SST)
• Understanding of browser cookies and consent management setups
• Proficiency in SQL and experience with modern data warehouses (BigQuery, Snowflake, Redshift)
• Experience in API integrations and building custom data pipelines
• Proficiency with BI tools such as Looker Studio, Power BI, or Looker Enterprise
• Hands-on exposure to CDPs (Segment, RudderStack) and event tracking solutions (Heap, Mixpanel, Amplitude)
• Familiarity with ad platform integrations and marketing attribution models
• Ability to write and debug JavaScript for tracking implementations
• Strong problem-solving mindset and ability to work independently
• Excellent communication skills for client and internal collaboration
  

Preferred Skills

• Exposure to Python for data processing and automation tasks
• Familiarity with ETL tools like Airbyte or Fivetran
• Experience deploying and managing marketing analytics stacks in Google Cloud or AWS
• Understanding of telemetry and best practices in product analytics
  

Skills

• Data Engineering
• Customer Data Platforms (CDP)
• Google API / Facebook API
• Data Integration & CRM Integration
• Social Media Platform Integrations
• Attribution Modeling
• Looker Studio / Looker / Power BI
• Google Tag Manager (GTM)