Analytics Engineer

Photowall; Stockholms kommun; On-site; SEK 550,000 - 700,000; Full time

Job summary

Photowall is seeking an Analytics Engineer to enhance their analytics capabilities and support decision-making across various teams. In this role, you'll manage data pipelines, develop dashboards, and ensure data reliability.

Ideal candidates should have 4–6 years in analytics, expertise in SQL and BigQuery, and strong communication skills. Join a dynamic team and impact how Photowall grows through data.

Qualifications

• 4–6 years of experience in data analytics or analytics engineering.
• Strong SQL and BigQuery skills with experience in transformation tools.
• Fluent in English and strong communication skills.

Responsibilities

• Own and maintain BigQuery data pipelines with monitoring and validation.
• Design and maintain dashboards for marketing and product teams.
• Implement event tracking through Google Tag Manager and GA4.

Skills

SQL

BigQuery

Data analytics

Google Tag Manager

Looker

Tools

GA4

Dataform

Funnel

Job description

About Photowall

At Photowall, we create custom‑made wallpapers and wall murals for customers all over the world. We’re a growing e‑commerce company, with a current presence in over 30 markets, and we’re continuing to expand – both in new markets and with new products.

About the Role

We’re looking for an Analytics Engineer to help build and scale the analytics foundation that powers decision‑making across Growth, Marketing, Product, and Commercial teams.

This is a highly cross‑functional role where you’ll sit at the intersection of data engineering, analytics, and business strategy. You’ll own and evolve our analytics infrastructure – from data pipelines and warehouse models to dashboards, experimentation analysis, and marketing measurement.

You’ll work closely with stakeholders across the business to turn complex data into clear insights and actionable recommendations. At the same time, you’ll help ensure our data ecosystem is scalable, reliable, and built for future growth.

This role is ideal for someone who enjoys both the technical side of analytics engineering and the commercial impact of helping teams make smarter decisions faster.

Main Responsibilities

Data Infrastructure & Pipelines

• Own and maintain BigQuery data pipelines, including scheduling, monitoring, and data quality validation
• Integrate data from multiple sources – including GA4, Klaviyo, marketing platforms, and backend systems – into a centralized data warehouse
• Build and maintain scalable data models serving both marketing and product use cases
• Ensure data reliability through proactive monitoring, alerting, and clear documentation

Analytics & Dashboards

• Design, build, and maintain dashboards for Growth, Marketing and Product teams
• Translate business questions into clear analyses with actionable recommendations
• Own ad‑hoc analysis for senior stakeholders, including executive‑level reporting
• Support experimentation workflows and A/B test analysis

Event Tracking & Digital Analytics

• Implement and maintain event tracking through Google Tag Manager (GTM) and GA4
• Partner with Product and Engineering to define and QA tracking instrumentation across the web funnel
• Own funnel analysis and ensure tracking accuracy across key user journeys

First‑Party Data & Marketing Measurement

• Build and maintain the data infrastructure that feeds CRM (Klaviyo) and paid media channels – including audience exports, customer match, and consent‑compliant data flows
• Support marketing measurement including attribution modelling, channel performance analysis, and media efficiency reporting
• Partner with Digital Marketing on campaign analysis and ROAS reporting

Requirements

• 4–6 years of experience in data analytics, analytics engineering, or a similar hybrid role within e‑commerce or digital products
• Strong SQL and BigQuery skills; experience with dbt, Dataform, or similar transformation tools
• Proficiency with Looker (or a similar BI tool) and Funnel
• Proven experience building and maintaining data pipelines across multiple sources
• Strong communication skills – comfortable explaining technical concepts to non‑technical stakeholders
• Fluent in English

Nice to Have

• Hands‑on experience with GA4, GTM, and digital analytics instrumentation
• Familiarity with CRM data flows (Klaviyo or similar) and paid media data structures (Meta, Google Ads)

Why Photowall?

At Photowall, you’ll be part of a collaborative and fast‑moving environment where data plays a central role in how we grow and make decisions. You’ll work closely with teams across Growth, Marketing, Product, and E‑commerce, with real impact on how we scale across international markets.

As part of the Network of Design (NOD), we continue to evolve how creativity, technology, and data come together to shape the future of Photowall.

We value ownership, curiosity, and continuous improvement – and give you the opportunity to shape and evolve our analytics foundation while working with modern tools and large‑scale e‑commerce data.

Apply today and help us build the analytics capabilities that power the future of Photowall.