Data Analytics Engineer

4 days ago

Bengaluru, Karnataka, India Weekday AI Full time ₹ 6,00,000 - ₹ 12,00,000 per year

This role is for one of the Weekday's clients

Salary range: Rs Rs ie INR LPAMin Experience: 0 years

Location: Bengaluru

JobType: full-time

We are seeking a highly skilled Data Analytics Engineer to manage end-to-end implementations of marketing analytics and business intelligence solutions. This role requires a strong foundation in data tracking, engineering, and visualization. The ideal candidate will collaborate directly with clients, design tracking plans, build scalable pipelines, and deliver impactful dashboards that drive data-informed decision-making.

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)

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