Pibenchmark
Client Analyst
Gdańsk
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- Seniority
- Mid level
- Country
- PL
- Work mode
- On-site / unstated
- First seen by hirly
- 3 Sept 2026
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the posting
Predict X is on a mission to give every business access to better insights and to facilitate data-driven decisions. Companies are increasingly inundated with data yet struggle to harness the benefits. Our machine learning based platform understands, clean, and integrate their data sources to automate this burden. Our technology reduces data complexity, increases data quality and allows business users leverage data science to make faster and more reliable business decisions. Headquartered in London with offices in Spain, Poland and the US, Predict X is looking to expand and attract intellectually curious individuals to join our team in Poland as we reinvent data analytics. Candidates will be employed on a B2B basis.
Job Description
Managing the day-to-day customer engagement for all production clients, you will work closely with our Predict X Client Consultants in the UK and US offices to ensure that our client base is fully supported. As part of your role you will be expected to complete data acquisition, data validation, data load and report refreshes on a scheduled basis, identifying waste and suggest innovations to ensure all repeatable processes are automated. Following successful on-boarding and induction to the role and various processes, the job will include Out of Hours support in respect to various processes running outside of the support hours currently covered by the UK and US teams. The support you provide will range from help requests, to investigating bugs/issues with production analysis, to producing ad-hoc analysis and consultancy.
Working Hours
During initial onboarding (generally the first 1-3 months depending on experience) your hours will be Monday-Friday between 10am and 6pm with possible exceptions for specific circumstances. Once onboarding is complete the hours will include weekends and night time work on a shift basis with regular shift patterns.
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