Senior Analytics Engineer

Talentify; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

C3 Industries is seeking a Senior Analytics Engineer to design, build, and maintain enterprise data models powering reporting and analytics across its business units. You will transform raw data into governed, reusable models in Snowflake and pull business logic out of scattered reports into a centralized layer.

The role is hands-on and senior, influencing data strategy as the company expands across locations, with collaboration across analysts and stakeholders on complex data solutions.

Qualifications

• 4+ years building production data models and pipelines in a cloud data warehouse; Snowflake 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.
• Hands-on experience with dbt or equivalent transformation framework and ingestion tooling like Airbyte, dlt, or Fivetran.
• Working experience with Power BI, including semantic models and DAX; exposure to 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 ability to work with non-technical stakeholders.
• Cannabis, retail, CPG, or multi-site manufacturing experience a plus.

Responsibilities

• Design, build, and maintain Snowflake transformation models for reporting across Retail, Cultivation, Manufacturing, Marketing, and Finance.
• Refactor business logic from Power BI datasets into governed, tested, version-controlled models.
• Build and maintain ingestion pipelines consolidating BigQuery marketing and ecommerce data into Snowflake.
• Define and apply a consistent modeling approach covering naming standards, grain, conformed dimensions, and master data.
• Implement automated data quality testing and monitoring, and own resolution when tests fail.
• Document models and lineage so analysts can self-serve without tribal knowledge.
• Partner with analysts and stakeholders to translate requirements into durable models.
• Support the semantic layer and BI tooling; evaluate new platforms/tools such as Fabric, dbt, Airbyte, dlt, Omni, Sigma.
• Cross-train with the team and mentor analysts on SQL, modeling, and data quality.

Skills

Advanced SQL

Data modeling

Python scripting

Clear written communication

Education

Bachelor's degree in computer science, information systems, analytics, engineering, or related field

Tools

Snowflake

BigQuery

Power BI

dbt

Airbyte

dlt

Fivetran

Git

Looker

Omni

Sigma

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.