Analytics Engineer

Summary

Join Pacvue, a leading eCommerce advertising software company, as an Analytics/BI Engineer. This hybrid role blends data engineering (60%) and business analytics (40%), requiring you to build scalable data models and deliver strategic insights. You will collaborate with stakeholders, design data pipelines using dbt and SQL, and create dashboards with Tableau. The ideal candidate possesses 5-7+ years of experience in analytics engineering, advanced skills in Snowflake, SQL, and dbt, and strong communication abilities. Pacvue offers a fast-paced environment, opportunities for growth, and various benefits including unlimited PTO, paid holidays, comprehensive health insurance, 401k matching, and paid parental leave.

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

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

Preferred Qualifications

• 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

Benefits

• Unlimited Paid Time Off
• Paid Holidays and Floating Holidays
• Medical, Dental, Vision, FSA/HSA, Life Insurance and Pet Insurance
• 401k with Employer Match
• Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization
• Paid Parental Leave