Analytics Engineer, Revenue Operations (BI & Analytics, India Remote) - Hours 1-9pm IST
Turnitin (company site, opens in a new tab)8+ yrsMumbaiRemoteDirect career pageEst. 25–45 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead migration of legacy Alteryx workflows into documented, tested dbt models on Redshift, ensuring deliberate grain and clear lineage for reporting.
- Own data orchestration, monitoring, and alerting in Dagster (or Airflow), maintaining ingestion layers and optimizing Redshift performance and cost.
- Build and maintain data foundations enabling Revenue Operations initiatives like account-based marketing, customer health scoring, churn and lead predictive models.
Minimum Requirements
- 6-8+ years in Analytics Engineering, Data Engineering, or Business Intelligence with substantial hands-on data modeling responsibility.
- Proven hands-on experience with production-grade dbt projects including testing and documentation.
- Hands-on experience with Dagster or Airflow orchestration tools and advanced SQL with Amazon Redshift (or Snowflake/BigQuery) including performance tuning.
- Strong knowledge of Salesforce data model, proficiency in Python for data workflow automation, and Git-based workflow with code review and CI.
Ideal Candidate Profile
- Experienced in building scalable, maintainable data pipelines with emphasis on data quality, including root cause analysis across reporting, modeling, and upstream process issues.
- Strategic thinker comfortable translating between business (Sales Director) and technical (engineer) perspectives to deliver impactful, actionable insights beyond just data delivery.
- Proactive owner who prioritizes code quality, documentation, and cost-effective data infrastructure supporting early-stage function development in Revenue Operations analytics.