Analytics Engineer Development, Product

3 weeks ago

Stockholm, Stockholm, Sweden Funnel Full time
Why This Role Matters

Internal Data & Analytics (IDA) is a centralised data function within the Product Development organisation. Our purpose is to facilitate a move to a decentralised data architecture that will put trustworthy, high-quality, and actionable data in the hands of every Funnel employee. We are expected to have a solid understanding of how our business operates, a strong sense of what our organisation needs, and a proactive mindset.

Our role spans both building software and serving analytics needs. While this role is officially titled "Analytics Engineer," it encompasses responsibilities that go beyond traditional analytics engineering. Depending on priorities, your focus may shift between data engineering, analytics engineering, and descriptive analytics.

We are a relatively new and small team with a lot of room for creativity within our problem space. As part of IDA, you can make a noticeable impact by helping more colleagues leverage analytics in their daily work and driving the data maturity of our organisation forward. Along the way, there will be plenty of opportunities to learn and grow in the fields we operate in—a pursuit we expect and encourage at Funnel.

What You'll Do

As a team member of IDA, you will operate at the intersection of Data Engineering, Analytics Engineering, and Data Platform Engineering. Your key responsibilities include:

Data Engineering:

  1. Design, develop, and maintain ETL/ELT pipelines to process and integrate data from other teams and systems into our team infrastructure.

  2. Collaborate with stakeholders to define, document, and implement data governance policies, ensuring compliance and quality.

Data Product Delivery:

  1. Model the output of our pipelines into quality data assets that are ready for self-serve analytics.

  2. Act as a technical advisor to teams looking to implement their own data solutions in a federated data ownership model.

Descriptive Analytics:

  1. Serve insights and best practices in order to drive adoption of data products and features.

Platform Development:

  1. Research and implement modern data engineering best practices (e.g., CI/CD processes, infrastructure as code, quality assurance).

  2. Maintain and improve our architecture to ensure it is best in class and built to last.

  3. Develop an efficient infrastructure on AWS that complies with our data security policies and certifications.

Team Collaboration:

  1. Be a willing collaborator, identify opportunities to support others, and offer timely help.

  2. Seek and provide feedback through code reviews, retrospectives, and strategic discussions.

  3. Learn by doing, share knowledge with others, and try out new things that could grow the team's skillset.

  4. Promote the team's achievements, engage with our stakeholders, and drive adoption of our products.

What We're Looking For

  1. Strong SQL skills and experience building and maintaining data pipelines (ETL/ELT) in a cloud-based environment (e.g., GCP, AWS).

  2. Proficiency in Python for data processing, automation, or API integrations.

  3. Hands-on experience with modern data stack tools (e.g., dbt, Airflow, or similar).

  4. Knowledge of data modelling techniques, particularly for analytics and business intelligence.

  5. Strong communication and collaboration skills, with the ability to work across technical and non-technical teams.

  6. A problem-solving mindset with a passion for delivering actionable insights.

  7. Fluency in English.

Nice to Have

  1. Experience with SaaS metrics, product analytics, or revenue data.

  2. Familiarity with Data Mesh principles and federated data ownership.

  3. Understanding of data governance, privacy, and compliance frameworks.

  4. Knowledge of CI/CD workflows and infrastructure as code for data pipelines.

  5. Exposure to BI tools like Tableau, Looker, or Power BI.

What We Offer

  1. A position where you can shape the future of data and analytics within our organisation.

  2. A high level of autonomy and responsibility for those who take initiative.

  3. A collaborative team environment where your opinion matters.

  4. A fast-paced environment with lots of opportunities for practical learning.

What Makes You a Great Match for Funnel

This role is designed for individuals who thrive in dynamic, collaborative environments and are excited about building the foundations of a world-class data organisation. Whether your expertise leans toward Data Engineering, Analytics Engineering, or Data Platform Engineering, we believe the breadth of this role will provide ample opportunity to learn, grow, and make an impact.

Additional Information

At this time, we can only consider applicants who are already located in Stockholm.

Benefits & Perks

We offer a competitive salary along with great benefits. → Take a look at our benefits here.

Office-first

At Funnel, we have an office-first approach, and we work from the office a minimum of four days a week. We have lots of flexibility for when life happens, during the summer, and through the holidays however, we avoid having standing remote days.

Interview Process

We have a 4-step recruitment process for most roles → Get an overview of the steps here.

Inclusiveness

Research shows that many candidates, especially women and individuals from underrepresented groups, may hesitate to apply for a role unless they meet every requirement. If this role excites you and your skills and experiences align, we strongly encourage you to apply. We're interested in what you can bring, even if you don't check every box.

About Funnel

Funnel is the leading Marketing Intelligence platform that empowers marketers to automatically collect, model, visualize, and analyze data from over 500 marketing platforms—without the need for SQL or scripting.

Now equipped with measurement, Funnel combines Marketing Mix Modelling, Multi-Touch Attribution, and Incrementality Testing to triangulate the true effectiveness of marketing efforts and provide smart, data-driven suggestions.

Funnel enables a workflow that automates the collection of all the data the customer needs, easy creation and maintenance of a robust data model with the customer's own concepts and metrics, with an AI-powered model for marketing measurement, and beautiful reporting on top.

All this without the user having to write a single line of code or even be particularly technical. Our vision is that the people who need data for their decision-making should have the tools to do it themselves - and not be dependent on their technical colleagues.

Trusted by more than 2,000 businesses worldwide, including globally recognized brands such as Adidas and Sony, Funnel generated over $50M in ARR in 2023 and continues to feature in the FT 1000 list of Europe's fastest-growing companies. Since its founding in 2014, Funnel has grown into a global team of over 300 employees, with offices in Stockholm, Boston, Dublin, London, Hamburg, and Sydney.

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