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
#LI-GA1
About the job
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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
#LI-GA1