Pacvue Logo

Pacvue

Analytics Engineer

Posted 7 Days Ago
Remote
Hiring Remotely in US
Mid level
Remote
Hiring Remotely in US
Mid level
The Analytics Engineer will design and maintain data pipelines, develop BI tools, and provide insights for strategic decision-making, collaborating with cross-functional teams.
The summary above was generated by AI

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.

Top Skills

Dbt
Snowflake
SQL
Tableau
HQ

Pacvue Los Angeles, California, USA Office

9696 Culver Boulevard, Unit 308, Los Angeles, California, United States, 90232

Similar Jobs

13 Days Ago
Easy Apply
Remote or Hybrid
2 Locations
Easy Apply
83K-162K Annually
Mid level
83K-162K Annually
Mid level
Big Data • Cloud • Software • Database
As a Senior Data Analyst, you will design and maintain analytics solutions, ensuring data integrity and driving actionable insights across the organization.
Top Skills: AirflowDbtGitPythonSQL
14 Days Ago
Remote
United States
162K-186K Annually
Senior level
162K-186K Annually
Senior level
Consumer Web • Digital Media • Information Technology • News + Entertainment • Social Media
The Analytics Engineer will design data models, develop pipelines, ensure data quality, and collaborate with various teams to empower analytics.
Top Skills: AirbyteAirflowAWSAzureDagsterDbtElementary DataFivetranGCPHexLookerMeltanoMetaplaneMonte CarloOmniPrefectPythonSQLTableau
2 Days Ago
Remote
United States
140K-160K Annually
Senior level
140K-160K Annually
Senior level
Fintech
The Analytics Engineer will design data models, orchestrate data pipelines, mentor team members, and collaborate with stakeholders to convert data into actionable insights.
Top Skills: AirflowDbtGitPythonSQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account