Do you want to be part of shaping the future of retail? Sift Lab is an innovative SaaS AI start-up, on a quest to make retailers in the Nordics truly data driven to improve customer experience, profitability and sustainability. We are scaling rapidly and are now looking for a driven and curious Customer Data Analyst to join our Customer success team.

About us: Sift Lab is a pioneering AI platform enabling retail and e-commerce companies to predict and optimize their business. Based on world-leading AI-research from Umeå University, our predictive analytics, segmentation and recommendation platform turbocharges customers’ current marketing technology infrastructure at a fraction of the cost of legacy solutions. Today, we are trusted by leading ecom, retailers and consultancies and work closely with leading researchers* in AI. 40+ customers in Sweden and the Nordics, such as Rusta, Nordic Nest, Bokus and Caia Cosmetics

* Sift Lab co-founder Martin Rosvall is a Professor in Physics and runs multiple research projects in the AI-space with founding from Wallenberg AI, Autonomous Systems and Software Program (WASP)

About the position: Our Customer success team is responsible for ensuring that the Sift Lab platform delivers maximum value to our clients. You will be working on technical onboarding and operations, implementation and development of new customer use cases and features, on-going tech & user support and driving the data analytics roadmap for each client

Responsibilities:

Onboard new clients on platform; setting up new data imports and exports, set up of key features in analytics, AI segmentations and recommendations omni-channel

Together with Account Manager develop a value realization roadmap for each customer i.e in what order to implement use cases for

Develop new use cases for clients

Consult clients on new use cases on the platform, optimization/testing of new segmentations and recommendations

Handle complex technical queries

Continuously identify areas for improvement, and implement effective service management practices.

Contribute to and develop new analytical, segmentation and recommendation solutions beyond standard functionalities based on customer feedback to further enhance the Sift Lab platform capabilities.

Qualifications:

Minimum of a Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. 

At least 3-5 years of practical experience of customer data analytics, with a focus on CRM (Customer Relationship Management) and loyalty programs.

Proven track record of successfully applying data science techniques to improve customer acquisition, engagement and loyalty in previous roles

Proficient in statistical analysis, hypothesis testing, and predictive modeling.

Experience with machine learning algorithms, such as regression analysis, decision trees, clustering, and neural networks.

Proficiency in data manipulation using tools like SQL and experience working with large datasets.

Proficient in data visualization tools such as GDS, Tableau or Power BI. 

Ability to work collaboratively in a cross-functional team environment, effectively communicating and problem-solving with colleagues 

Strong communication skills to convey complex analytical findings in a clear and understandable manner to non-technical stakeholders. 

 Selforganizing, attention to detail and able to handle multiple and competing request

 Curiosity and ambition to explore new technologies and solutions.