Analytics Engineer

Pacvue

Chicago, IL

Full Time

Senior

1 day ago

Job Description

About the Role

Pacvue is the leading software suite for eCommerce advertising, sales, and intelligence. We help some of the world's largest brands grow their business on Amazon, Walmart, Instacart, and other marketplaces and work with sellers and agencies of all sizes to help them compete in the constantly changing world of online retail. Our mission is to empower teams to win in the future of eCommerce, and we do it by building first-to-market technology, solving complex problems with our customers, and bringing expertise, collaboration, and innovation to our work every single day.

Key Responsibilities

Design, build, and maintain scalable data pipelines and transformation workflows using dbt, SQL, and Snowflake.
Collaborate with business stakeholders to translate data needs into clean, tested, and reusable data models.
Own the development and documentation of the semantic layer that supports reporting, dashboarding, and self-service analytics.
Create and optimize dashboards and reports using Tableau to deliver actionable insights to business teams.
Ensure data quality and integrity through rigorous testing, validation, and monitoring practices.
Partner with cross-functional teams (Finance, RevOps, Product, Marketing, Customer Success) to define KPIs, design metrics, and build analytic tools that support their objectives.
Automate and streamline manual reporting processes to improve efficiency and reduce error.
Contribute to the development of data governance and best practices across the organization.
Stay up to date on modern data stack tools, engineering patterns, and BI technologies.

Requirements

5-7+ years of experience in Analytics Engineering, Data Analytics, or related roles.
Advanced experience with Snowflake, SQL, and dbt for data modeling and transformation.
Strong experience with Tableau or similar BI tools for data visualization and dashboarding.
Ability to work independently and collaboratively in a fast-paced environment.
Strong communication skills with both technical and non-technical audiences.
Proven ability to influence business decisions using data and strategic thinking.

Nice to Have

Experience with Salesforce, Amplitude, or Vitally.
Familiarity with SaaS business models and/or digital advertising.
Experience building scalable analytics layers to support cross-functional data self-service.
Ability to tell compelling stories with data that drive action.
Strong understanding of data lifecycle from raw ingestion to business consumption.