Data Analytics Engineer - Marketing Analytics & BI

Responsibilities

• Implement and maintain marketing analytics solutions across GA4 GTM, and CDPs like Segment or RudderStack.
• Develop and optimize data pipelines using BigQuery, Snowflake, or Redshift.
• Integrate ad platforms (Google Ads, Meta, LinkedIn, TikTok) for marketing performance tracking.
• Design and implement tracking plans using tools like GTM.
• Automate reporting and build dashboards using Looker Studio, Power BI, or Looker Enterprise.
• Collaborate with clients to understand business needs and translate them into technical solutions.
• Ensure data accuracy, consistency, and reliability across analytics platforms.
• Troubleshoot and optimize marketing attribution models.
• Hands-on exposure to one of the product analytics platforms, Mixpanel/Amplitude/HEAP.
  

Requirements

• 1+ years of experience in marketing analytics, data engineering, or a related field.
• Strong expertise in GA4 GTM and server-side tagging (SST).
• Understanding of Browser cookies and setting up consent mgmt
• Experience with SQL and data warehousing (BigQuery, Snowflake, or Redshift).
• Experience in API integration and setting up a data pipeline
• Proficiency in BI tools like Looker Studio, Power BI, or Looker Enterprise.
• Hands-on experience with CDPs (Segment, RudderStack) and event tracking tools (Heap, Mixpanel, Amplitude).
• Understanding of ad platform integrations and marketing attribution models.
• Ability to write and debug JavaScript for tracking implementations.
• Strong problem-solving skills and ability to work independently.
• Excellent communication skills to interact with clients and internal teams.
  

Preferred Skills

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