Senior Analytics Engineer — Data Products & Dashboards

Setpoint; New York (NY); Hybrid; USD 150,000 - 170,000; Full time

Benefits offered by this job

Stock options

Medical, dental, and vision coverage

401(k)

Disability insurance

Flexible vacation

Job summary

Setpoint seeks an experienced analytics engineer to own end-to-end data product implementations for external customers. You will build scalable data pipelines and analytics models using Python, DBT, and SQL, and create dashboards for stakeholders to derive actionable insights.

In this role, you will prototype new data products, collaborate with engineering to shape the data product roadmap, and ensure code quality with GitHub-based workflows.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.
• Excellent problem-solving, communication, and collaboration skills.

Responsibilities

• Own end-to-end implementations for the data products for our external customers.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Skills

SQL

Python

Analytics engineering

Tools

GitHub

DBT

Job description

Setpoint seeks an experienced analytics engineer to own end-to-end data product implementations for external customers. You will build scalable data pipelines and analytics models using Python, DBT, and SQL, and create dashboards for stakeholders to derive actionable insights.

In this role, you will prototype new data products, collaborate with engineering to shape the data product roadmap, and ensure code quality with GitHub-based workflows.