Customer data analyst

Turn data into decisions for leading retailers.

What if you could help some of the Nordics’ leading retailers decide what to do next — and prove, in real numbers, that it worked?

Sift Lab is a Swedish AI startup building the intelligence layer that helps retailers make better commercial decisions. Our technology combines customer, product and commercial data to predict what customers will buy, which products will grow, and where businesses should focus to drive profitable growth.

We work with leading brands and retailers including CAIA Cosmetics, NetOnNet, Jula, NA-KD, Pressbyrån and Nordic Nest. Our technology is built on years of AI research, and our team combines entrepreneurial experience, deep technical expertise and commercial ambition.

We’re now looking for a curious, hands-on Customer Data Analyst to join our Customer Success team full-time. You’ll be the technical and analytical core of how our customers get value from AI: onboarding their data, launching new use cases and proving the impact.

This is not a role where you’ll spend your days building reports nobody reads. You’ll have real ownership, work closely with our Account Managers and Tech team, and help build the processes and automation that let Customer Success scale as we grow into larger enterprise accounts and new markets.

What you’ll do

1. Onboard customers and own data quality

• Set up data imports and exports, and validate data quality for new customers.
• Configure analytics, AI segmentations and product recommendations across CRM, paid/SEM and site/app.
• Monitor platform and data health across our customer base, and work with Tech to automate checks and data validation.

2. Prove the value of AI

• Set up and follow up tests — holdouts, control groups and A/B tests — so customers can see the incremental impact of each use case.
• Together with the Account Manager, build a value realization roadmap for each customer: which use cases to implement, in what order, and what to expand into next.
• Turn analytical findings into clear stories that commercial decision-makers can act on.

3. Support and enable our customers

• Act as second-line technical support and solve complex technical queries.
• Train customers on the platform and help them get more out of it.
• Contribute to user guides, documentation and standard use-case templates, so customers get value faster with less manual work.

4. Help build a scalable Customer Success engine

• Bring customer insights back to Product, and develop new analytical, segmentation and recommendation solutions beyond standard functionality.
• Explore how AI agents and automation can make Customer Success more scalable as we grow.

Who we’re looking for

You’re an analyst who enjoys working with customer data, but what really motivates you is seeing analysis turn into real business decisions. You’re comfortable in front of both a large dataset and a customer.

You might be a great fit if you:

• Have 3+ years in an analyst role working with customer data, e.g. CRM, loyalty, e-commerce or digital marketing.
• Hold a degree in Computer Science, Statistics, Mathematics or a related field.
• Have strong SQL skills and experience working with large datasets.
• Have a solid grounding in statistics and experimental design (hypothesis testing, A/B and holdout tests).
• Can explain analytical findings clearly to non-technical stakeholders.
• Are self-organizing and detail-oriented, and comfortable juggling several customers and competing priorities.
• Are fluent in Swedish and English.

Experience with marketing automation/CXP platforms (e.g. Voyado, Klaviyo, Braze, Bloomreach), ad platforms (Meta, Google), predictive modelling and machine learning (e.g. regression, clustering, propensity models), cloud data warehouses (BigQuery, Snowflake, Databricks), Python or BI tools (Looker Studio, Tableau, Power BI) is a plus — as is an interest in how AI agents and automation can make customer success more scalable.

Why Sift Lab?

Build, don’t just observe. Help build our Customer Success engine and see the direct impact of your work from day one.

Work at the frontier of AI. Work hands-on with predictive models, AI segmentation and recommendations — close to the researchers behind our technology.

Work with leading retailers. Partner with some of the Nordics’ leading brands and see how data drives their commercial decisions.

Learn from an experienced team. Work closely with a team combining startup experience, commercial leadership and AI research.

Grow with us. As we expand into larger accounts and new markets, your role can grow with us.

Practical details

• Location: Our office in central Stockholm, with hybrid work.
• Commitment: Full-time.
• Start: By agreement.
• Reporting to: Sofie Thulin, Head of Customer Success & Account Management.
• Compensation: Competitive salary, pension and wellness allowance.

Interested?

Send your CV and a short note about why the role interests you to sofie@siftlab.com with the subject line “Customer Data Analyst”. We review applications continuously. Questions? Email Sofie at the same address.

You don’t need a polished cover letter. We’d rather see how you think.