Senior Analytics Engineer

The Senior Analytics Engineer will report to the Senior Manager - Data Platform & Analytics Engineering.

As the Senior Analytics Engineer  you will:

• Transform raw data into well-structured datasets using dbt.

• Collaborate with analysts data scientists and engineers to develop scalable data models that power experiments ML models and reporting.

• Define and implement best practices for data modeling quality and governance.

• Ensure data reliability and accuracy through robust validation and monitoring processes.

• Develop advanced analytics solutions and dashboards in Looker to give stakeholders actionable insights.

Your impact:

• Enable accurate reporting and analytics by building and maintaining scalable high-quality data models.

• Ensure stakeholders have access to trusted insights through improving data reliability governance and monitoring.

• Empower analysts and data scientists by delivering clean structured data for ML models experiments and reporting.

• Drive business growth and operational efficiency by optimizing financial reporting customer analytics and product insights.

• Drive data-driven decision-making and innovation by collaborating with cross-functional teams.

About you:

• 2+ years of experience in data transformation and task scheduling tools such as dbt and Airflow

• 2+ years of experience maintaining and building in BI/analytics tools (Looker Tableau or similar tooling)

• 2-3 years of experience with cloud data warehouses such as Snowflake Google BigQuery Amazon Redshift or similar platforms

• Expert-level SQL skills

• Experience in the Fintech industry

• 2+ years of experience working with AWS services (IAM DMS Ansible Terraform etc.)

• Working knowledge of Python

Where

• This role will be based in the US and is fully remote

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