PRODECA, Promotora d’Exportacions Catalanes, SA, is opening a selection process to recruit a market intelligence and data analysis technician to join its team.

Prodeca is a public company attached to the Department of Agriculture, Livestock, Fisheries and Food of the Generalitat de Catalunya. It promotes Catalan food in Catalonia and worldwide and supports the marketing and internationalisation of Catalan agri-food companies.

GENERAL PURPOSE OF THE JOB

The selected person will join the Market Intelligence Unit, within the Knowledge and Strategy Area. They will analyse market data and sources, produce useful information for decision-making and contribute to the development of analysis and visualisation tools for Prodeca, the sector's companies and its institutional stakeholders.

JOB FUNCTIONS

Market intelligence

• Analyse the evolution of international markets, demand, consumption, competition and opportunities for the Catalan agri-food sector.
• Monitor agri-food exports and imports and exploit statistical sources, sector studies and foreign trade databases.
• Prepare market reports, situation notes and executive summaries that turn data into clear conclusions and recommendations.
• Help identify and prioritise markets, products and sectors according to their potential and commercial accessibility.

Data analysis and visualisation

• Develop and maintain dashboards in Microsoft Power BI and define monitoring indicators.
• Process, integrate and validate data from different sources, ensuring its quality and traceability.
• Automate, where possible, processes for collecting, transforming and updating data.

Knowledge management and continuous improvement

• Provide technical support to Prodeca's teams in interpreting and presenting data.
• Take part in projects to improve information systems and explore new analysis and automation tools, including artificial intelligence applications where appropriate.

TECHNICAL SKILLS

• Analysis of statistical, economic and international trade data.
• Advanced knowledge of Microsoft Excel and practical knowledge of Power BI, data modelling and indicator visualisation.
• Ability to clean and combine databases and to prepare executive reports and market studies.
• Knowledge of national and international statistical sources and market intelligence tools.

TRANSVERSAL SKILLS

• Analytical capacity, critical thinking and rigour in handling information.
• Ability to synthesise and communicate in writing to diverse audiences.
• Organisation, autonomy, initiative and teamwork.
• Interest in the agri-food sector, international markets and continuous improvement.

REQUIREMENTS

• University degree in Economics, Business Administration and Management, International Trade,
• Statistics, Mathematics, Engineering, Data Science or other disciplines related to the job functions.
• Minimum of two years' experience in data analysis, market intelligence, business intelligence, international trade or similar functions.
• Advanced knowledge of Microsoft Excel and Power BI, and experience in processing and exploiting data.
• Ability to write and synthesise reports and to interpret economic indicators.
  Level C1 in Catalan or equivalent.
• Minimum B1 level in English.

ADVANTAGEOUS CRITERIA

• English level above the minimum required and knowledge of other languages.
• Professional experience in the Administration of the Generalitat, its public sector, other administrations or in bodies for economic promotion, internationalisation or business support.
• Knowledge of the Catalan agri-food sector and its markets.
• Experience in international trade, business internationalisation or economic intelligence.
• Knowledge of international statistical sources such as DataComex, Eurostat, COMEXT, UN Comtrade, Trade Map or FAOSTAT, or other similar ones.
• Experience with market and consumer intelligence platforms, such as Euromonitor or Mintel.
• Knowledge of Power Query to transform, combine and update data.
• Knowledge of SQL, Python or R applied to data analysis.
• Experience in data integration using APIs.
• Knowledge of international economics, geopolitics and trade policy.
• Knowledge of tools for visualising, laying out and presenting information, such as Canva, Photoshop or similar.
• Experience using artificial intelligence tools, including generative and agent-based AI, applied to research, analysis, automation or knowledge generation.
• Use of CRM systems and experience in exploiting business data for segmentation, monitoring and analysis.
• Experience in managing projects related to data, market intelligence, digitalisation or information systems.
• Ability to analyse and orient conclusions towards decision-making.
• Ability to communicate complex information clearly and in a way adapted to different audiences.
• Teamwork, initiative, autonomy and a focus on continuous improvement.

JOB CONDITIONS

• Permanent contract with a three-month probationary period.
• Working week of 37.5 hours.
• Working arrangement: three days of teleworking and two days of on-site work.
• Gross annual salary: €29,968.08.
• Expected start date: December 2026.

APPLICATION PROCESS

Interested persons who meet the established requirements must submit their curriculum vitae and the required supporting documentation to the email address rrhh@prodeca.cat, indicating the reference in the subject line: PROD04-26/SURNAMES AND NAME.

Application deadline: 17 November 2026

Documentation to be provided:

• ID card (DNI/NIE) and updated curriculum vitae.
• University degree and certificate of Catalan level C1 or equivalent.
• Documents supporting the experience and additional training claimed, where applicable.
• The documentation supporting the requirements and merits must be submitted electronically within the established deadline. Failure to prove the required requirements may result in exclusion from the process.

SELECTION PROCESS

During the selection procedure, the participation requirements, technical knowledge, professional experience, transversal skills and merits provided by candidates will be assessed.

The selection process will consist of the following phases:

• Assessment of the applications submitted based on their curricula.
• First selection interview, aimed at assessing professional experience, technical knowledge, transversal skills and suitability for the job.
• Practical/technical test, related to the job's functions and aimed at assessing the knowledge and abilities needed to carry out the assigned tasks. This test may be carried out as part of the first interview.
• Second selection interview with the finalist candidates, aimed at further examining how well the profile fits the organisation's needs.
• Other complementary competency assessment tools that contribute to the final decision.
• Candidates must document the training and experience stated in their curriculum when requested. Only persons who remain in the selection process will be contacted.

PERSONAL DATA PROCESSING

Processing: selection and provision processes.

Controller: Promotora d’Exportacions Catalanes, SA (Prodeca).

Purpose: to manage the staff selection process.

Rights: data subjects may exercise their data protection rights before Prodeca and lodge a complaint with the Catalan Data Protection Authority (www.apdcat.cat).

Additional information: please see the privacy policy on the Prodeca website.

INTERNAL ANNEX: PROPOSED PRACTICAL TEST

This annex is a proposal to prepare the selection process and is not part of the text of the public offer.

Propose to candidates a limited set of anonymised or public agri-food export data, with a short dictionary of variables and the same starting information for everyone.

• Indicative duration: two or three hours. Provide information about the available tools in advance.
• Clean and analyse the data with Excel; if the tools are available, build a short dashboard in Power BI.
• Present three or four relevant indicators and visualisations, with an explanation of the data used and the limitations identified.
• Write a conclusions page with the main trends and possible implications for Prodeca or for Catalan agri-food companies.

The test makes it possible to assess technical knowledge, analytical capacity and the ability to turn data into information useful for decision-making.