Analytics Engineer, Revenue Operations (BI & Analytics, India Remote) - Hours 1-9pm IST

Turnitin's Revenue Operations team is modernizing its analytics foundation — moving to governed dbt models on Redshift and building a trusted, consolidated view of the business for Sales, Marketing, Customer Experience, and Finance.

You own the models, pipelines, and tests that everything downstream depends on. You're not a ticket-taker: we expect you to understand why a metric matters before you model it, and to say so when the requirement as stated will produce a number that's technically correct and practically wrong.

This is an early-stage function, so you'll have unusual influence over how it's built.

What You'll Do:

• Lead the migration of legacy Alteryx workflows into documented, tested dbt models on Redshift.
• Design models with deliberate grain and clear lineage, building toward a certified set of marts that reporting reads from.
• Own orchestration, monitoring, and alerting in Dagster (or Airflow), and the ingestion layer feeding it.
• Keep Redshift fast and cost-effective.
• Trace issues to the right root cause — reporting, data model, or upstream business process — and route each to the right fix.
• Build the data foundations behind RevOps initiatives such as account-based marketing, customer health scoring, and predictive work like churn and lead scoring.
• Use AI and LLM tooling thoughtfully in the engineering workflow, and help the team form a view on where it belongs.

What We're Looking For

• A self-starter who is comfortable with ambiguity, leads with questions, and doesn't wait to be assigned work.
• A translator who can explain a data problem to a Sales Director in terms of their quota, and a quota problem to an engineer in terms of a data model.
• A systems thinker who looks upstream and downstream before proposing a fix.
• Someone constructively skeptical who reconciles the numbers before shipping them.
• Impact-focused — you deliver the "so what?", not just the data.
• An owner who takes pride in the cleanliness of their code and their documentation.

Essential

• 6 - 8+ years in Analytics Engineering, Data Engineering, or Business Intelligence with substantial hands-on modeling responsibility.
• Proven experience building and maintaining production-grade dbt projects, including testing and documentation.
• Hands-on production experience with Dagster or Airflow.
• Advanced SQL and real experience with Amazon Redshift (or Snowflake / BigQuery), including performance tuning.
• Git-based workflow, code review, and CI as a normal part of how you work.
• Strong working knowledge of the Salesforce data model.
• Python for data work and automation.

Preferred

• Experience with Alteryx, particularly in a migration context.
• Experience with Airbyte, Dagster & DBT or comparable ELT tooling.
• Salesforce-specific data modeling experience.
• Exposure to predictive modeling or machine learning workflows.
• Experience with large customer engagement datasets (1M+ rows).
• Ability to build and maintain Tableau dashboards, even if it isn't your primary craft.