Sift Lab is an innovative SaaS AI start-up and they are scaling rapidly and are now looking for a driven and curious Customer Data Analyst to join their Customer success team.
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, their predictive analytics, segmentation and recommendation platform turbocharges customers’ current marketing technology infrastructure at a fraction of the cost of legacy solutions. Today, they 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
About the role:
The Customer success team is responsible for ensuring that the Sift Lab platform delivers maximum value to their 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 include:
- 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.
- 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.
About you:
For this role, we are looking for someone specialized in digital analytics who, like us, is independent, detail/service oriented, and curious about new technologies. You have strong communication skills and can convey complex analytical findings in a clear and understandable manner to non-technical stakeholders.
- Minimum of a Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.
- 3-5 years of practical experience of customer data analytics, with a focus on CRM 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 using tools like SQL, GDS, Tableau or Power BI and experience working with large datasets.
Required language skills
Fluency in English & Swedish
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