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Hybrid Analytics Engineer

Superside · EMEA (Remote)  ·  nan, Ghana · Hybrid

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About the job

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.
  • Solid 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.

Why join us?

Superside's vision is to create more equal opportunities globally by accelerating the world’s transition to online work. With that in mind, we’ve built a natively remote company enabling us to attract the best talent no matter where they are.

Need more convincing? Here’s a skimmable, non-exhaustive list of reasons to join us:

  • A global community of talented people working from more than 60 different countries.
  • Flexible working hours and fully remote setup. We've been remote from day one. No weird office legacy.
  • A high-pace, high-energy, and high-performance environment.
  • Trusting, ego-free, and truth-seeking team members.
  • Pioneering the future of work with a fair, friendly,y and supportive community. We’re pretty proud of this one.
  • A career path towards increased responsibility, mentorship, and leadership. We grow, you grow.
  • Join us at the right time: impact the product as you would do in a startup with the resources of a profitable scaleup.
  • See something you want to improve? Awesome! We’re a flexible and collaborative team that is always learning and growing.
  • Disrupting a massive global industry with a huge market opportunity.

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