Business Intelligence Analyst, Revenue Operations (Philippines Remote) - Hours 3

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.

Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.