We are looking for a highly skilled Data & Analytics Engineer with strong expertise in Clickstream Analytics, Marketing Analytics, and Digital Analytics. This role requires hands-on experience in building analytics datasets from web and mobile application event data and delivering insights into customer behavior and marketing performance.
Role & responsibilities
- Build and maintain analytics datasets from web and app event data.
- Develop data models for customer funnels, user journey analysis, and behavioral analytics.
- Work on marketing attribution and conversion analytics.
- Process and analyze large-scale event-level data.
- Collaborate with analytics and business teams to derive actionable insights
Preferred candidate profile
We are seeking an experienced Lead Data & Analytics Engineer with strong expertise in Digital Analytics and Clickstream Analytics. The ideal candidate should have hands-on experience in building analytics datasets from web/mobile event data and be proficient in deriving customer behavior and marketing insights.
Preferred Qualifications:
- 6+ years of experience in Data Engineering, Digital Analytics, or Marketing Analytics.
- Robust hands-on experience with Clickstream Analytics and Marketing/Digital Analytics.
- Proficiency in Python and SQL.
- Experience with BigQuery, Dataflow, Pub/Sub, and Looker.
- Hands-on experience with GA4, Adobe Analytics, Amplitude, or Mixpanel.
- Experience building datasets for Customer Funnels, User Journey Analysis, Behavioral Analytics, Marketing Attribution, and Conversion Analytics.
- Experience handling large-scale event-level data.
- Excellent analytical, problem-solving, and communication skills.
Note - Candidates with only BI reporting, dashboard development, generic ETL/Data Engineering, or FinOps Analytics experience will not be considered.