Data Products Analyst (CX) at act digital

Warsaw, Masovian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

180.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Products Analyst, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Science, Prototyping, Product Development, Technical Specifications, Data Analysis, Product Management, Communication, Curiosity, Innovation, Team Collaboration, Problem Solving, English Proficiency

Industry

IT Services and IT Consulting

Description

Company Description Our mission as a company providing IT services is to provide our clients all over the world with the best solutions. We manage to do this by analyzing the needs of our clients and matching them to the skills and aspirations of our employees. Therefore, one of our main motivations is to provide each Employee and Consultant with a satisfying experience. Joining us means being part of a community with diverse personalities. Start your adventure with act digital Polska! Job Description We’re looking for a Product Analyst for NLP who thrives in ambiguity, loves turning messy data into clarity, and can help drive product ideas forward with insight and speed. This isn’t a “traditional BA” role, nor is it a “corporate data science” one. You’ll be embedded with product and engineering teams. Create specs (either in briefs or mock-up prototypes) that communicate to commercial stakeholders, product leadership, and data science—turning business needs and raw data into clear product opportunities. Specify products that don’t yet exist: innovative, data-driven offerings that are unique to us and may not have been seen in the market before. Work side by side with data scientists exploring our data to uncover hidden value—identifying signals, assembling datasets to bring new product ideas to life. Switch easily between strategic vision (‘what new product creates value?’)and technical realities (‘what data do we have or need?’)—proactively Surfacing opportunities and driving them into prototypes or specs. Qualifications 3-5 years as Data Products Analyst. ML/AI experience in defining Natural Language Processing products Comfortable with technology and data science concepts. You don’t need to be a software engineer, but you should be curious and hands-on— able to use agents/assistants to tinker, prototype, and bring ideas to life. You stay sharp on NLP and LLM advances — not just in theory but in how they can be applied creatively to products. Active/engaged experience with NLP. English min B2. Additional Information Work model: Hybrid from Warsaw Type of contract: B2B Project: Long-term (2+ years) Rate: 180 PLN/H net + VAT We offer Access to local and international projects - Clients from France, Germany, Portugal, UK, and Benelux. Professional development support - trainings, technical certificates, conference participation, foreign language classes, and soft skills trainings are subsidized for up to 2 000 PLN. Bonus for recommending Candidates starting from 6 000 up to 10000 PLN. Fully paid Medicover healthcare card. Psychological support program WellBee. Multisport card. Regular integration events and gifts. Long-term cooperation. Relocation Program. If You applied for this position the Controller of your personal will be ACT DIGITAL POLSKA Sp. z o.o., with its registered office at Przyokopowa 31, 01-208 Warsaw. The personal data provided by you will be processed for the purpose of the recruitment process and for future recruitment processes. You will have the right too choose one or both options on next page. You have the right to access the content of your data, request their rectification, erasure, restriction of processing, the right to data portability, the right to object to the processing of your data and the right to lodge a complaint to the President of the Personal Data Protection Office.

Responsibilities

The Data Products Analyst will create specifications that communicate product opportunities to stakeholders and work closely with data scientists to uncover hidden value in data. This role involves specifying innovative, data-driven products and driving them into prototypes or specifications.