Offer summary

Qualifications:

5–7+ years of experience in Analytics Engineering or Data Analytics., Advanced proficiency with Snowflake, SQL, and dbt for data modeling and transformation., Strong experience with Tableau or similar BI tools for data visualization., Excellent communication skills for technical and non-technical audiences..

Key responsibilities:

Design and maintain scalable data pipelines and transformation workflows.

Collaborate with stakeholders to develop and test data models and KPIs.

Create dashboards and reports to deliver actionable insights.

Ensure data quality and support data governance initiatives.

Job description

About Us:

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.

Why work at Pacvue?

Be on the cutting edge - Pacvue is transforming the way brands and sellers win online. Our product uses machine learning, artificial intelligence, and data to make intelligent decisions and recommendations.
Have fun – we have an energetic and passionate team with a joint mission to win and help our brands and sellers succeed.
Learn – from the best!  Our team is full of talented people who want to help you learn, grow – providing you with mentorship, the industry’s best practices and thought leadership.
Grow fast – the eCommerce industry has grown fast in the past 2-3 years. Pacvue has grown even faster than most high-tech companies in the market.

About the role:

We are seeking a motivated, detail-oriented, and technically skilled Analytics/BI Engineer to join our team. In this hybrid role, you will focus 60% of your time on engineering robust, scalable data models and transformation pipelines, and 40% on delivering strategic business insights through BI tools and dashboards. This position bridges the gap between data engineering and business analytics, enabling data-driven decision-making across the company.

You’ll work closely with stakeholders across the organization to understand data needs, build well-documented and tested models using dbt and SQL, and support our analytics and reporting infrastructure using Snowflake and Tableau.

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.

Skills & Qualifications:

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 haves:

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

#LI-Remote

Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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