We are looking for a technically heavyweight Senior Data Analyst to be the foundational "source of truth" for our Go-To-Market (GTM) and Operations teams.

This is a high-autonomy role for an expert executor who can bridge the gap between data and high-stakes business decisions. You will own the data lifecycle from architecting pipelines and optimizing SQL models to deploying ML forecasting ensuring our leadership has 100% reliable insights to scale the business.

What you'll do :

- Data Architecture & Modeling : Own the Operational Data Layer that supports core GTM metrics, dashboards, and automation workflows. Design and maintain scalable data models that turn backend data into reliable, clean datasets.

- Technical Ecosystem Ownership : Optimize how GTM data flows between operational database, internal GTM tools and visualization tools to ensure data consistency.

- Advanced Analytics & Insight Delivery

- Develop and deploy ML/AI models for forecasting GTV, optimizing churn, and automating decision- making workflows.

- Design, build, and maintain high-impact dashboards for GTM & Operations teams.

- Perform expert-level ad-hoc analyses using SQL to identify trends, conduct deep-dive research, and deliver objective insights on strategic priorities.

- Data Integrity & Reconciliation : Act as the final gatekeeper for data quality. You will troubleshoot discrepancies, ensuring 100% accuracy.

- Strategic Partnership : Collaborate directly with the Sales, Marketing, Customer Success & Operations teams, identify growth bottlenecks, and automate recurring data needs.

- Project Management & Scoping : Maintain high standards in project delivery, including clear scoping, timeline ownership, and proactive communication with stakeholders.

What we are looking for :

- Experience : 4 to 6 years in a high-growth start-up environment (Fintech, Payments, or Banking experience is a major plus).

- Modern Data Stack Mastery : Proven experience architecting and maintaining data environments within Snowflake/Clickhouse/Databricks/Other. You understand how to optimize these tools for both cost and performance.

- SQL Mastery : Expert-level SQL (window functions, recursive CTEs, performance tuning). You should be comfortable handling massive datasets and building complex data models.

- Python for Production : Strong Python skills for data manipulation (Pandas/NumPy) and a track record of building automated data workflows and deploying ML models (forecasting, classification, regression).

- Data Engineering Mindset : Experience with transformation and orchestration tools like dbt, Airflow, or Prefect. You know how to build a "gold" data layer from raw, messy sources.

- Analytics & Visualization : Expert in BI tools (Metabase/Tableau/Power BI/Other) with a focus on building high-performance, actionable dashboards.

- First-Principles Thinking : You can take an open-ended business problem, independently scope the technical solution, and drive it to completion.