Senior Analytics Engineer: End-to-End Data Products & AI

Aceable; Northern (KY); Hybrid; USD 140,000 - 154,000; Full time

Benefits offered by this job

Health benefits

Paid time off

Hybrid work flexibility

Stock options

Wellness programs

Free snacks & meals

Job summary

Aceable is seeking a Sr Analytics Engineer to own data products from source data to dashboards and workflows. You will partner with Marketing, Product, Finance, and Engineering to translate fuzzy business questions into trusted, scalable data solutions.

Ideal candidates bring 7+ years in analytics or data engineering, deep SQL, Snowflake/dbt experience, and a strong BI mindset with Power BI. Hybrid work options available in a fast-growing AI-enabled data team.

Qualifications

• 7+ years in Analytics/Data Engineering or similar data role.
• Advanced SQL and production-scale transformations in Snowflake/dbt.
• Strong understanding of dimensional modeling and data quality.
• Experience with data integration/ETL pipelines.
• Experience building semantic models and Power BI dashboards.
• Ability to turn ambiguous business questions into reliable data products.

Responsibilities

• Own data products end to end from source to dashboard or workflow.
• Collaborate with Marketing, Product, Finance, and Engineering to clarify requirements and build reliable solutions.
• Implement data quality controls, testing, and monitoring across pipelines.
• Improve architecture and automate workflows, leveraging AI to speed coding and analytics.

Skills

Advanced SQL

Dimensional modeling

Data quality testing

Data integration

BI dashboard design

AI/ML awareness

Stakeholder communication

Tools

Snowflake

dbt

GitHub

Power BI

Matillion

Segment

Python

CI/CD

APIs/JSON

Job description

Aceable is seeking a Sr Analytics Engineer to own data products from source data to dashboards and workflows. You will partner with Marketing, Product, Finance, and Engineering to translate fuzzy business questions into trusted, scalable data solutions.

Ideal candidates bring 7+ years in analytics or data engineering, deep SQL, Snowflake/dbt experience, and a strong BI mindset with Power BI. Hybrid work options available in a fast-growing AI-enabled data team.