Data Analyst
fulltime_fixed_term mid_level 4200-5200 EUR/monthJob Overview
Horticulture Data Analyst & QA Specialist
At Priva, we started as a hardware company and evolved into a global leader in horticulture technology, building automation, and digital innovation. Today, we develop advanced hardware, software, and digital services focused on climate control, energy efficiency, and sustainable water management for horticulture, indoor farming, smart buildings, retail, hospitality, and healthcare environments worldwide.
With more than 600 colleagues, 16 international offices, and over 400 installation partners active in more than 100 countries, we are continuously building smarter and more sustainable solutions for the future.
Your Role
As a Horticulture Data Analyst & QA Specialist, you play a key role in improving the quality, consistency, and reliability of the data used across our digital horticulture services and platforms.
You combine data analysis, requirements validation, and high-level quality assurance to ensure our digital solutions are scalable, future-proof, and aligned across internal teams and external digital partners.
This role goes beyond traditional QA. We are looking for someone who understands how to translate business requirements into clear data models, validate requirements through Specification by Example, and challenge teams to think critically about quality, usability, and long-term maintainability.
You will work closely with Product Managers, Architects, UX Designers, Engineers, and external partners to ensure that both the functional requirements and the data behind our platforms are consistent, testable, and correctly implemented.
Because of the strong stakeholder coordination involved, this role is also highly suitable for someone with experience as a Functional Analyst, QA Lead, Technical Product Owner, or someone who has operated in a project-driven environment with significant responsibility for alignment and delivery quality.
What You’ll Be Doing
You will be responsible for improving data quality, QA processes, and requirement validation across our horticulture digital ecosystem.
Your work includes:
Defining, analysing, and improving horticulture data models across digital services
Aligning internal teams and external digital partners on data structures, definitions, and usage
Translating business requirements into clear, testable functional specifications
Applying Specification by Example to validate requirements and improve collaboration between business and development teams
Designing and improving high-level QA strategies focused on data consistency, reliability, and usability
Defining test approaches and validating requirements before implementation
Driving alignment on acceptance criteria, testing scope, and expected behaviour
Supporting agile product delivery teams with quality assurance best practices
Identifying risks, inconsistencies, and improvement opportunities early in the development lifecycle
Contributing to scalable and future-proof digital solutions with minimal rework or refactoring
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