Analytics Engineer II - Scalable Data Products & AI Analytics

Doist; Overland Park (KS); On-site; USD 100,000 - 140,000; Full time

Job summary

Doist is seeking an Analytics Engineer II to build enterprise data products that power analytical and operational reporting across the organization. You will translate business requirements into scalable data models in Snowflake using SQL, dbt, and Python, contributing to data quality and governance.

You will partner with Data Engineering, BI, and business analysts throughout the analytics lifecycle, enabling AI-enabled analytics capabilities and semantic-layer development across modern data

Qualifications

• 3+ years of experience in analytics engineering, data engineering, or business intelligence.
• 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.
• Experience developing and maintaining data models, pipelines, and reporting datasets.
• Experience working in Agile environments and collaborating with cross-functional teams.

Responsibilities

• Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.
• Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.
• Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.
• Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.
• Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.
• Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.
• Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.
• Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.

Skills

SQL

Snowflake

dbt

Python

Data modeling

Agile

Data governance

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Job description

Doist is seeking an Analytics Engineer II to build enterprise data products that power analytical and operational reporting across the organization. You will translate business requirements into scalable data models in Snowflake using SQL, dbt, and Python, contributing to data quality and governance.

You will partner with Data Engineering, BI, and business analysts throughout the analytics lifecycle, enabling AI-enabled analytics capabilities and semantic-layer development across modern data