drjobs Analytics Engineer

Analytics Engineer

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1 Vacancy
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Job Location drjobs

Stockholm - Sweden

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 highquality 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 ina pursuit we expect and encourage at Funnel.

What Youll 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:

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

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

Data Product Delivery:

  • Model the output of our pipelines into quality data assets that are ready for selfserve analytics.

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

Descriptive Analytics:

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

Platform Development:

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

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

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

Team Collaboration:

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

  • Seek and provide feedback through code reviews retrospectives and strategic discussions.

  • Learn by doing share knowledge with others and try out new things that could grow the teams skillset.

  • Promote the teams achievements engage with our stakeholders and drive adoption of our products.

What Were Looking For

  • Strong SQL skills and experience building and maintaining data pipelines (ETL/ELT) in a cloudbased environment (e.g. GCP AWS).

  • Proficiency in Python for data processing automation or API integrations.

  • Handson experience with modern data stack tools (e.g. dbt Airflow or similar).

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

  • Strong communication and collaboration skills with the ability to work across technical and nontechnical teams.

  • A problemsolving mindset with a passion for delivering actionable insights.

  • Fluency in English

Nice to Have
  • Experience with SaaS metrics product analytics or revenue data.

  • Familiarity with Data Mesh principles and federated data ownership.

  • Understanding of data governance privacy and compliance frameworks.

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

  • Exposure to BI tools like Tableau Looker or Power BI.

What We Offer

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

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

  • A collaborative team environment where your opinion matters.

  • A fastpaced 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 worldclass 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.

    Learn more about our platform in this blog post by our CTO Jonas Bjrk: Building Funnels Data Platform for MarketingAnalytics.

    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.

    Officefirst

    At Funnel we have an officefirst 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 through the holidays however we avoid having standing remote days.

    Interview Process

    We have a 4step 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. Were interested in what you can bring even if you dont 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 platformswithout the need for SQL or scripting.

    Now equipped with measurement Funnel combines Marketing Mix Modelling MultiTouch Attribution and Incrementality Testing to triangulate the true effectiveness of marketing efforts and provide smart datadriven 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 customers own concepts and metrics with an AIpowered 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 decisionmaking should have the tools to do it themselves and not be dependent on their technical colleagues.

    Trusted by more than 2000 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 Europes fastestgrowing 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.

    Employment Type

    Full Time

    About Company

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