Customer Data Analyst

Customer Data Analyst / Technical Customer Success

Location: Stockholm, Sweden | Hybrid

About Sift Lab

Sift Lab is an innovative Swedish SaaS AI company helping businesses predict, optimise and grow their operations. Built on world-leading AI research from Umeå University, Sift Lab's platform delivers advanced predictive analytics, segmentation and recommendations that enhance customers' existing marketing technology — at a fraction of the cost of traditional enterprise solutions.

Today, we are a team of 14 employees with deep expertise in data, analytics and AI, driven by strong collaboration and a shared ambition to grow and scale the business. Sift Lab works with more than 40 customers across Sweden and the Nordics, including Nordic Nest, Hemtex, Jula and CAIA Cosmetics, and collaborates closely with leading AI researchers. 

About the Role

As a
Customer Data Analyst

, you will be a key part of Sift Lab's Customer Success team with a strong focus on
technical support, troubleshooting and customer operations

. Your primary mission is to ensure that customer data is correctly integrated, configured and functioning as intended in the Sift Lab platform.

The role is highly hands-on and customer-facing, involving daily work with data mapping, debugging data flows, platform setup and ongoing support. You will work closely with customers, Account Managers and the product team to solve issues, improve setups and ensure smooth, reliable use of the platform.

This is a great role for someone who enjoys digging into data problems, understanding systems end-to-end and helping customers succeed through high-quality support and technical expertise.

Key Responsibilities

• Act as a primary point of contact for technical customer support related to data, integrations and platform configuration.
• Troubleshoot and resolve issues related to data imports/exports, data quality, mapping and platform setup.
• Configure and maintain customer setups, including analytics features, AI segmentations and recommendation logic.
• Support onboarding of new customers by setting up data pipelines, validating data and ensuring correct configuration from start.
• Work closely with Account Managers to support customers throughout their lifecycle and ensure stable, well-functioning implementations.
• Investigate and handle complex technical questions from customers, often requiring root-cause analysis and collaboration with internal teams.
• Continuously identify recurring issues and improvement areas, and help define better processes, documentation and support practices.
• Contribute feedback from customer issues and use cases to product and development teams to improve platform robustness and usability.
• Assist customers in understanding dashboards and data.

Experience & Qualifications

• Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics or a related field.
• Approximately 1–4 years of experience in a technical support, customer success, data operations or analytics-related role.
• Strong understanding of data structures, data flows and how analytics platforms are configured.
• Experience with data troubleshooting, validation and mapping across different systems.
• Working knowledge of SQL; ability to investigate data issues using queries.
• Experience with Excel and BI/analytics tools such as Power BI, Tableau or Looker Studio is a plus.
• Familiarity with CRM systems, e-commerce platforms, customer data, paid / performance marketing (Google, Meta ads) or marketing technology is considered a strong advantage.
• Basic understanding of analytics, statistics or machine learning concepts is a plus, but not the primary focus of the role.

About You

• You enjoy solving problems and digging into data to understand what is not working — and why. You are service-minded and motivated by helping customers succeed through great support.
• You are structured, detail-oriented and patient when handling complex customer issues. You communicate clearly and confidently with both technical and non-technical stakeholders.
• You are curious about technology and enjoy learning how systems work together.
• You thrive in a fast-paced, growing company where processes are continuously evolving.
• Fluency in Swedish (customer communication) and English (internal working language).

Compensation & Benefits

• Competitive salary
• Occupational pension (ITP)
• Wellness allowance

Remote Work Policy

Hybrid working model: 3 days per week in the office and 2 days remote.