Senior Analytics Engineer

C3 Industries; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

C3 Industries in Columbus, OH seeks a Senior Analytics Engineer to design, build, and maintain enterprise data models powering reporting and analytics across the organization. Leveraging Snowflake and Power BI, you transform raw data into documented, tested, reusable models and consolidate business logic into a governed transformation layer.

This hands-on senior individual contributor role shapes data architecture as the company expands across units, systems, and locations, while mentoring

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field; equivalent experience considered.

Responsibilities

• Design, build, and maintain transformation models in Snowflake for reporting across Retail, Cultivation, Manufacturing, Marketing and Finance.
• Refactor business logic from Power BI datasets into governed, tested, version-controlled models in the warehouse.
• Build and maintain ingestion pipelines from source systems and consolidate BigQuery data into Snowflake.
• Define consistent modeling approach including naming standards, grain, and conformed dimensions.
• Implement automated data quality testing and monitoring; own resolution when tests fail.
• Document models and lineage to enable self-serve analytics.
• Partner with analysts and stakeholders to translate reporting requirements into durable models.
• Support semantic layer and BI tools; evaluate new platform tools (Microsoft Fabric, dbt, Airbyte, dlt, Omni, Sigma).
• Cross-train with the team and mentor analysts on SQL, modeling, and data quality.

Skills

Snowflake

Advanced SQL

Power BI

dbt

Python

Git

Dimensional modeling

BigQuery

Airbyte

Fivetran

Education

Bachelor's degree

Tools

Power BI

Snowflake

Looker

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.