Senior Analytics Engineer

C3 Industries; Northern (KY); Hybrid; USD 110,000 - 160,000; Full time

Job summary

C3 Industries seeks a Senior Analytics Engineer to design, build, and govern enterprise data models powering analytics across Retail, Cultivation, Manufacturing, and Finance. You will transform raw data into reusable Snowflake models, migrate logic from reports into a governed layer, and influence data strategy as the business expands.

You will implement automated quality checks, document lineage, and collaborate with analysts and stakeholders to deliver durable analytics solutions using

Qualifications

• Bachelor's degree or equivalent experience in a technical field.
• Four+ years building production data models and pipelines in a cloud data warehouse.
• Strong SQL skills with window functions and performance tuning.
• Experience with dbt or similar transformation frameworks.
• Power BI experience with semantic models and DAX.

Responsibilities

• Design, build, and maintain Snowflake transformation models for multiple business units.
• Refactor Power BI datasets into governed, tested warehouse models.
• Build ingestion pipelines from source systems and consolidate external data.
• Define consistent modeling standards including dimensions and shared masters.
• Implement automated data quality testing and monitoring; own failures.
• Document models and lineage for self-serve analytics.
• Collaborate with stakeholders to translate reporting needs into durable models.
• Support BI tooling and evaluate new platforms (e.g., Fabric, Looker, Sigma).
• Mentor analysts on SQL, modeling, and data quality.

Skills

Advanced SQL

Snowflake

Power BI

Python

Git workflows

CI/CD

Dimensional modeling

Data quality testing

DAX

Documentation

Education

Bachelor's degree in CS/IS/Analytics

Tools

Airbyte

dlt

Fivetran

Microsoft Fabric

Job description

JOB SUMMARY:

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis Shops. Leveraging Snowflake and Power BI, the role transforms raw data into documented, tested, reusable models the business can trust, and pulls the business logic currently embedded in individual reports into a governed transformation layer. This is a hands-on senior individual contributor role with significant influence over how C3 models its data as the company adds business units, systems, and locations.

JOB DUTIES:

Core duties and responsibilities include the following. Other duties may be assigned.

• Design, build, and maintain transformation models in Snowflake that serve reporting across Retail (High Profile Cannabis Shops), Cultivation, Manufacturing, Marketing, and Finance.
• Refactor business logic out of Power BI datasets into governed, tested, version-controlled models in the warehouse.
• Build and maintain ingestion pipelines from C3's source systems, including consolidation of BigQuery marketing and ecommerce data into Snowflake.
• Define and apply a consistent modeling approach covering naming standards, grain, conformed dimensions, and a shared product and location master.
• Implement automated data quality testing and monitoring, and own resolution when tests fail.
• Document models and lineage so analysts can self-serve without relying on tribal knowledge.
• Partner with analysts and business stakeholders to translate reporting requirements into durable models rather than one-off extracts.
• Support the semantic layer and BI tooling, and contribute to evaluation of new platform tools such as Microsoft Fabric, dbt, Airbyte, dlt, Omni, and Sigma.
• Cross-train with the broader team and contribute to shared ownership of critical pipelines and models.
• Mentor analysts on SQL, modeling practice, and data quality.

SUPERVISORY RESPONSIBILITIES:

None. This role mentors analysts and leads project work without direct reports.

JOB REQUIREMENTS:

• Bachelor's degree in computer science, information systems, analytics, engineering, or a related field; equivalent experience considered.
• Minimum four years building production data models and pipelines in a cloud data warehouse; Snowflake experience strongly preferred, BigQuery a plus.
• Advanced SQL, including window functions, performance tuning, and incremental processing patterns.
• Demonstrated data modeling depth across dimensional modeling, slowly changing dimensions, and designing for reuse across multiple reporting consumers.
• Hands-on experience with dbt or an equivalent transformation framework, and with ingestion tooling such as Airbyte, dlt, or Fivetran.
• Working experience with Power BI, including semantic models and DAX; exposure to Microsoft Fabric, Looker, Omni, or Sigma a plus.
• Proficiency with Git-based workflows, code review, and CI/CD for data.
• Python or a comparable scripting language for pipeline and automation work.
• Clear written documentation habits and the ability to work directly with non-technical stakeholders.
• Cannabis, retail, CPG, or multi-site manufacturing experience a plus.