We’re looking for an experienced and ambitious Analytics Engineer to join our cross-functional data team. In this role, you’ll shape data models and frameworks to support business intelligence, analytics, and AI-driven insights.
Working at the intersection of creative services and technology, you’ll collaborate with engineers, analysts, and stakeholders to empower teams with data-driven insights and build scalable data models that drive business growth. Reporting to the Head of Data & Analytics, you’ll play a key role in implementing our data strategy, working with unique and novel datasets related to creative performance and AI.
What you'll do
- Develop and maintain scalable and performant data models using dbt, ensuring data is well-structured, rich in analytical value, and ready for analysis
- Design and optimize SQL-based transformation pipelines that deliver high-quality datasets to the business intelligence and analytics teams
- Collaborate with stakeholders (business analysts, product managers) to gather requirements and ensure data models support meaningful business reporting
- Implement business logic in data models to ensure KPIs and business metrics are accurately reflected
- Establish and maintain data quality checks and automated testing to ensure accuracy and consistency across business-critical data
- Continuously monitor and improve the performance of data transformations and queries, ensuring efficiency and scalability
- Maintain clear and comprehensive documentation for data models, ensuring analysts and stakeholders can easily understand and use the data
- Mentor junior team members and actively contribute to developing the team’s skills and best practices in analytics engineering
What you’ll need to succeed
- Strong proficiency in SQL, with experience writing efficient queries to transform, model, and analyze large datasets
- Experience with dbt to build and manage reusable data models
- Ability to translate business requirements into scalable data models aligned with key business metrics
- Familiarity with BI tools like Looker, Tableau, or Power BI and a solid understanding of how to structure data for optimal use in these platforms
- Experience implementing automated data quality checks within data pipelines; Python knowledge is a plus
- Strong communication skills with the ability to collaborate across technical and non-technical teams to deliver solutions that meet business needs.
- Basic knowledge of cloud-based platforms (e.g., Snowflake, BigQuery, Redshift) is advantageous
- Experience working in a remote-first, collaborative environment with a proactive, self-directed approach
About Superside
Superside is a revolutionary way for businesses to get good design done at scale. Trusted by 450+ ambitious companies, Superside makes design hassle-free for marketing and creative teams. By combining the top 1% of creative talent from around the world with purpose-built technology and the rigor of design ops, Superside helps ambitious brands grow faster. Since inception, Superside has been a fully remote company, with more than 700 team members working across 57 countries and 13 timezones.
Learn more at superside.com
Diversity, Equity and Inclusion
We’re an equal opportunity company. All applicants will be considered regardless of ethnicity, appearance, religion, gender identity, sexual orientation, national origin, veteran or disability status.
Top Skills
What We Do
Superside is the leading Creative-as-a-Service (CaaS) company that helps over 450 ambitious brands get great design and creative done at scale.
With our design subscription service, marketing and creative teams can unbottleneck design, move faster and drive more reliable creative performance. We help the world's leading companies like Google, Meta, Amazon, Salesforce, Red Bull and Boston Consulting Group with advertising creative, brand design, video production and more. No longer chained to over-taxed in-house creative teams, our customers reduce costs and move quickly with infinite scale.
