Business Intelligence Analyst, Revenue Operations (India Remote) - Hours 1-9pm IST in भारत

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. 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.