We seek an experienced and ambitious Analytics Engineer to join our cross-functional data team and help shape our data models and analytical frameworks. This role supports advanced business intelligence, analytics, and AI-driven insights at Superside.
Superside operates at the intersection of creative services, technology, and product development. This unique position allows us to build scalable, well-structured data models representing some of the most intriguing and novel data relating to creative performance and AI. We empower internal teams and drive the development of data-driven products, creating new market opportunities. Reporting to the Head of Data & Analytics, you will collaborate closely with data engineers, developers, business analysts, and operational teams to define and implement our data modeling strategy and analytics infrastructure.
What you'll do
- Develop and maintain well-documented, scalable, and performant data models using dbt, ensuring business data is well structured, logically modeled, rich in analytical value, and ready for analysis.
- Design and optimize SQL-based transformation pipelines that deliver high-quality, analytics-ready datasets to business intelligence and analytics teams.
- Collaborate with business analysts, product managers, and stakeholders to gather requirements and ensure data models support accurate and meaningful business reporting
- Implement and embed business logic within data models to ensure KPIs and other business metrics accurately reflect the datasets.
- Establish and maintain data quality checks, automated testing, and documentation to ensure business-critical data accuracy, consistency, and reliability.
- Continuously monitor and improve the performance of data transformations and queries, optimizing them for speed, efficiency, and scalability.
- Maintain clear and comprehensive documentation for data models, business logic, and data flows, ensuring that analysts and stakeholders can easily use the data.
- Assist in mentoring junior team members on best practices in analytics engineering and actively contribute to developing the team’s skills and capabilities.
What you’ll need to succeed
- Fluency in SQL, with experience writing efficient and scalable queries to transform, model, and analyze large datasets.
- Experience with data modeling tools like dbt to build and manage structured, reusable data models.
- Ability to translate business requirements into well-defined and scalable data models, ensuring alignment with key business metrics.
- Familiarity with BI tools such as Looker, Tableau, or Power BI and a strong understanding of structuring data for optimal use in these platforms.
- Experience implementing automated data quality checks and tests within data pipelines to maintain data integrity; some python experience is advantageous.
- Strong communication skills and the ability to collaborate with technical and non-technical stakeholders to gather requirements and deliver data solutions that meet business needs.
- A basic understanding of cloud-based data platforms like Snowflake, BigQuery, or Redshift is beneficial.
- Experience working in a remote-first, collaborative environment, demonstrating a proactive and self-directed work 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.Apply for this job
