Analytics Engineer

Ctrl Digital; Stockholms kommun; On-site; SEK 520,000 - 780,000; Full time

Benefits offered by this job

30 days of vacation

Occupational pension

Private healthcare insurance

Wellness allowance

Flexible working arrangements

Continuous learning and certification

AI/data tech on client problems

Job summary

Ctrl Digital, a Swedish consultancy, seeks an Analytics Engineer to join the team in Stockholm. You’ll work at the intersection of data engineering, analytics and marketing tech to bring data from multiple platforms into transformed, AI-enabled insights.

You’ll build data warehouses, model data, and design semantic layers, collaborating with marketing, analytics and IT teams on varied client projects.

Qualifications

• 2–4 years of relevant experience in analytics engineering, data analytics or data engineering.
• Strong SQL skills and cloud data warehouse experience.
• Experience with dbt/Dataform and data modelling concepts.
• Familiarity with Git, Python, APIs and data pipelines.
• Ability to communicate technical concepts to non‑technical stakeholders and fluent English.

Responsibilities

• Build marketing data warehouses in BigQuery.
• Integrate data from GA4, Google Ads, Meta, CRM and other systems.
• Transform and model data with SQL and dbt/Dataform.
• Design reliable data models and semantic layers for reporting and analytics.
• Build data pipelines and integrations using APIs/ETL tools.
• Make data accessible to Power BI, Looker Studio and other BI tools.
• Develop AI-assisted analytics and activation data pipelines.
• Collaborate with clients and cross‑functional teams.

Skills

SQL

BigQuery

Snowflake

dbt

Dataform

Git

Python

APIs

Data modelling

Tools

Power BI

Looker Studio

Job description

Ctrl Digital is a marketing engineering and analytics consultancy. We help companies build the technical foundations they need to understand, use and activate their marketing and customer data.

We’re now looking for an Analytics Engineer to join our team.

About the Role

Ctrl Digital is a marketing engineering and analytics consultancy. We help companies build the technical foundations they need to understand, use and activate their marketing and customer data.

We’re now looking for an Analytics Engineer to join our team.

About the Role

The role sits at the intersection of data engineering, analytics and marketing technology. You’ll work with modern data stacks to bring together data from marketing and digital platforms, model it in the cloud, and make it useful for reporting, analysis, activation and increasingly AI-assisted analytics.

You won’t be working on the same data problem every day. Our projects span industries, technologies and use cases, from building marketing data warehouses and semantic layers to activation pipelines and AI-assisted analytics.

What You’ll Work With

Our projects typically involve building and developing marketing data infrastructure for clients. Depending on the engagement, you might:

• Build marketing data warehouses in BigQuery
• Integrate data from platforms such as GA4, Google Ads, Meta, CRM and other business systems
• Transform and model data using SQL and Dataform/dbt
• Design reliable data models, definitions, and semantic layers for reporting, analytics and AI
• Build data pipelines and integrations using APIs and ETL tools
• Make data available to Power BI, Looker Studio and other BI tools
• Develop solutions for AI-assisted and conversational analytics
• Build pipelines for activation, including offline conversions, audiences and customer value data
• Work closely with clients to translate business questions into technical solutions
• You’ll usually work across both longer client retainers and defined projects, often collaborating directly with marketing, analytics and data/IT teams.
  

Who We’re Looking For

We think you have around 2-4 years of relevant experience in analytics engineering, data analytics, data engineering or a similar role. More importantly, you enjoy understanding how things work, solving problems and learning new technologies.

We’d like you to have:

• Strong SQL skills
• Experience working with cloud data warehouses such as BigQuery, Snowflake or similar
• Experience with dbt, Dataform or another data transformation framework
• A good understanding of data modelling and analytics vExperience working with Git
• Some experience with Python, APIs or data pipelines
• The ability to communicate technical concepts clearly to non-technical stakeholders
• Professional working proficiency in English

Experience with marketing data, GA4, Google Cloud, Power BI, Looker, server-side tracking or activation platforms is useful, but you don’t need to know our entire technology stack when you join. We’re also interested in people experimenting with LLMs, agents and new AI-based ways of working with data. Deep AI expertise isn’t required, but curiosity is.

How You Succeed

We’re a consultancy, so technical ability is only part of the job.

You should enjoy working directly with clients, asking questions and understanding the problem behind the technical requirement. We value people who take ownership, are comfortable exploring unfamiliar technology and can figure things out without needing everything specified in advance.

Technology changes quickly, and learning is part of the job. You don’t need to know our entire stack when you join, but we expect you to be curious, develop your skills and be willing to explore new tools and ways of working. You don’t need to be the most senior person in the room. We’d rather find someone with a strong foundation, good judgement and the ambition to develop quickly.

About Us

Ctrl Digital is a Swedish consultancy specialising in marketing engineering and analytics, with offices in Stockholm, Gothenburg and Malmö. We are part of Havas, one of the world’s largest global communications networks.

We work with companies to connect the worlds of marketing, analytics and data engineering, from measurement and server-side tracking to cloud data warehouses, data modelling, activation and AI-assisted analytics.

Our consultants work closely with clients and are given significant responsibility early. At the same time, you’ll be surrounded by experienced specialists who can help you develop across analytics, cloud, marketing technology and consulting.

We offer:

• 30 days of vacation
• Occupational pension
• Private healthcare insurance
• Wellness allowance
• Flexible working arrangements
• Continuous learning and certification opportunities
• The opportunity to work with modern data and AI technology on real client problems