Regional Data Analyst
On site
Zaventem, Belgium
Full Time
25-04-2025
Job Specifications
Zoetis Zaventem is currently looking for a Regional Data Analyst.
As the Data Analyst at Zoetis Benelux, Nordics & Ireland, you will be responsible for transforming raw data into actionable insights that drive business growth and innovation for the whole region.
By analysing and interpreting data trends, patterns, and anomalies, you will provide valuable insights and recommendations to stakeholders across the region, enabling data-driven decision-making and strategic planning for the regional Lead and the General Managers.
The Data Analyst plays a crucial role in building comprehensive reports and dashboards that visualize key metrics and performance indicators, empowering stakeholders to monitor progress, identify areas for improvement, and make informed decisions based on real-time data analysis.
Your work will directly contribute to improving processes, optimizing performance, and ultimately enhancing the overall competitiveness and success of Zoetis BNNI region.
CORE RESPONSIBILITIES
Data Analysis
Perform exploratory data analysis to identify trends, patterns, and correlations in the data.
Develop and maintain dashboards, reports, and visualizations to communicate key insights and findings to stakeholders.
Collaborate with cross-functional teams to understand business requirements and develop analytical solutions to address business challenges.
Conduct ad hoc analysis and research to answer specific business questions and support decision-making.
Stay updated on emerging trends and best practices in data analytics and continuously seek opportunities to improve processes and methodologies.
Translate analytical findings into clear, concise, and actionable recommendations for all stakeholders.
Relationships
Develop mutually beneficial long-term partnerships with local, regional and international teams based on high quality interactions and exceptional provision of service
Implement bespoke solutions for all stakeholders in the region, utilising all available resources and tools
Work effectively at all levels in the teams from Vice President, General Manager to Marketing and Sales Managers.
Contribute to the success of your team by sharing best practice with colleagues across the region and proactively introducing ideas
Compliance
Maintain high standards of business conduct and compliance, adhering particularly to Pharmacovigilance Policy, Global vet Policy, Zoetis values, travel & expenses policy and local codes of practice.
KEY SKILLS
Capability in, or potential to develop
Proficiency in data analysis tools and languages
Experience with data visualization tools (e.g., Tableau, Power BI, etc.) and the ability to create visually compelling reports and dashboards
Strong analytical and problem-solving skills, with the ability to extract insights from complex datasets and identify actionable recommendations
Excellent communication and interpersonal skills, with the ability to effectively communicate findings to all stakeholders
Attention to detail and a commitment to data accuracy and integrity
Ability to manage multiple projects simultaneously and prioritize tasks effectively in a fast-paced environment
Strong collaborative skills and the ability to work effectively with cross-functional teams to understand business requirements and deliver impactful solutions
BEHAVIOURS
Our Colleagues make the difference
Keep your analytical skills sharp. Train, and retrain
Be an expert on your domain - know them inside and out, and continue to learn
Use the experience from setbacks and failure to drive your future success
Always do the right thing
Sell what you know your stakeholders need; what you know will work for our business
Uphold the highest standards of professionalism, honesty and integrity with the stakeholders
Help build the reputation of our brand by understanding and supporting the things that we stand for
Customer obsessed
Know your stakeholders. Know more than just their names, know their business
Establish effective and lasting relationships with customers that build loyalty to our brand
Run it like you own it
Ground all data quality plans in commercially sound thinking
Make realistic and achievable commitments to stakeholders that work for our business whilst benefiting theirs
We are one Zoetis
Show the stakeholders a united team that speak with one voice
Give the team timely information and support that helps them to deliver their role
Know what's going on around the business and talk about it to your customers
TRAINING & QUALIFICATIONS
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field; advanced degree preferred
Proven experience as a Data Analyst or related role, with a minimum of 5 years of experience
EXPERIENCE
Experience in a commercial industry
Experience in a data analyst role
Professional experiences gained in industries or sectors outside of Animal & Human Health are welcomed
TRAVEL REQUIREMENTS
Limited frequency of travel.
About Zoetis
At Zoetis, our purpose is to nurture the world and humankind by advancing care for animals. As a Fortune 500 company and the world leader in animal health, we discover, develop, manufacture and commercialize vaccines, medicines, diagnostics and other technologies for companion animals and livestock. We know our people drive our success. Our award-winning culture, built around our Core Beliefs, focuses on our colleagues' careers, connection and support. We offer competitive healthcare and retirement savings benefits, along with an array of benefits, policies and programs to support employee well-being in every sense, from health and financial wellness to family and lifestyle resources.
Global Job Applicant Privacy Notice
About the Company
The world’s leading animal health company. We’ve been innovating ways to predict, prevent, detect, and treat animal illness for over 70 years, and we continue to stand by those raising and caring for animals worldwide – from veterinarians and pet owners to livestock farmers. Our leading portfolio and pipeline of medicines, vaccines, diagnostics and technologies make a difference in over 100 countries. This page is sponsored by Zoetis. Community Guidelines: This page is intended for learning more about how Zoetis is advanci... Know more
Related Jobs
- Company Name
- Extia
- Job Title
- Data Engineer Senior
- Job Description
- Vous souhaitez rejoindre une entreprise qui place l’humain au cœur de ses préoccupations ? On vous attend chez Extia ! Société de conseil spécialisée dans les métiers de l’IT et du digital, Extia privilégie depuis sa création en 2007 une approche qui allie performance et bien-être au travail. Une vision de l’entreprise partagée aujourd’hui par plus de 2 500 Extiens en France et à l'international et récompensée par le label Great Place to Work® depuis 13 ans ! Nous croyons en l'égalité des chances et nous offrons à chaque candidat la possibilité de révéler son potentiel, sans distinction et de quelque nature qu'elle soit. Chez Extia, c’est « D’abord qui, ensuite quoi » alors, allons-y ! D'abord qui Curieux, poser des questions est votre seconde nature Ingénieux, votre imagination débordante vient à bout de chaque problématique Rigoureux, vous ne laissez rien au hasard Passionné, vous vous réveillez chaque matin avec l’envie d’en savoir plus Ensuite quoi Description Du Poste Vous aurez le rôle de support technique aux équipes d’analyse : structurer les données, réaliser des analyses « statistiques » ou « techniques » sur les données, développer des outils d’analyse… Vous mènerez des études afin d’évaluer les nouvelles technologies dans le domaine du Big Data, Data Mining ou Machine Learning afin d’identifier les solutions les plus pertinentes. Vous serez en charge de : Participer à la définition des besoins et à la rédaction des User Stories, Collaborer avec les Data Scientists au développement des modules d’analyse de donnée, Concevoir et construire des architectures de données, Intégrer des sources de données, Vous assurez que les données sont facilement accessibles et que leur exploitation fonctionne comme demandé, même dans des circonstances hautement évolutives, Exécuter des processus ETL (extraire/transformer/charger) à partir d'ensembles de données complexes et / ou volumineux. PROFIL RECHERCHE Vous êtes habitué à travailler aussi bien avec des méta-données qu’avec des données non-structurées. A cet effet vous maitrisez un ou plusieurs des concepts comme l’ETL, le Data mining le Machine learning, les Big data ou encore la Théorie des graphes par exemple, Vous maitrisez les bases de l’analyse statistique, Vous êtes apte à rédiger des scripts en Python et/ou R, et une connaissance d'autres langages de programmation comme Java, Scala ou SAS est un plus, Vous êtes familiarisé avec l’environnement Linux, Une expérience avec les outils de Stockage de fichiers volumineux (HDFS, Data Lake, S3, stockage Blob), la connaissance des infrastructures cloud AWS ou GCP et des bases en streaming temps réel seront aussi de réels atouts. PACKAGE SALARIAL Chez Extia Belgique IT, la transparence fait partie intégrante de l'expérience positive, voici un aperçu des éléments de package salarial dont peuvent profiter nos collaborateurs, sous réserve d'éligibilité Voiture de société ou budget mobilité Chèques repas & Ecocheque Assurance groupe Frais de représentation Plan cafétéria / Flex Income Plan Primes d'apport d'affaire, de cooptation et de formation 20 jours de congés légaux + 12 jours de récupération Ces informations sont communiquées à titre indicatif et seront abordées plus en détails lors du processus de recrutement. LES PETITS PLUS 250 événements par an pour rencontrer tes collègues et des locaux feel good Des formations, conférences et une plateforme d'e-learning avec LinkedIn pour monter en compétences #greatplacetolearn Des Communautés Métiers et du Mentorat pour partager son expertise et en apprendre sur de nombreux sujets #greatplacetoshare Une communauté de e-sport : Extia Gaming ! #greatplacetoplay Envie d’évoluer ? Grâce à notre politique de mobilité interne, explorez de nouvelles opportunités en Belgique ou dans l’un de nos 7 autres pays !
- Company Name
- ITBuilders
- Job Title
- Data Analytics Reporting Specialist
- Job Description
- As data analytics & reporting specialists were the connection between strategy, business and technology. As such were looking for talent who can structure requests associated with overarching projects. Facilitate where needed the translation of business requirements through mock ups and design thinking. The hire will focus on creating reports from these inputs and collaborates with stakeholders to derive data insight through analysis as they continue to drive adoption. The role balances coordinating, analysing and execution subject to the experience level of the hire. You will work closely with various business units and transversal strategic initiatives. Key responsibilities; Be a catalyst to structure BI-processes in collaboration with the BI manager. Ensure our data products and reports are properly documented. Facilitate the application of ITIL and SDLC processes with a key focus on practical real world application. Collect, analyse and advise on business requirements Build prototypes, reports & dashboards in Qlik. Create clear story lines for insight throughout our reporting portfolio. Analyse data sets and contribute to the improvement of data quality across the organisation. Test data, reports and dashboards as a means to driving trust in our products. Facilitate the adoption of reporting products. Practicals: Minimum 1 day / week onsite to work with business partners is expected. Multiple locations are applicable for the role; Brussel, Gent, Leuven amongst which youll alternate. Brussel being the main office. Dutch or French is required, English is the working language. Ability to communicate with technical and non-technical profiles. High affinity with agile principles is a plus. Work well in dynamic team structure with many different sources of work. Key differentiator: youre pro-active and like to take initiative whilst reporting back on your learnings.
- Company Name
- Extia
- Job Title
- Data Engineer Confirmé
- Job Description
- Vous souhaitez rejoindre une entreprise qui place l’humain au cœur de ses préoccupations ? On vous attend chez Extia ! Société de conseil spécialisée dans les métiers de l’IT et du digital, Extia privilégie depuis sa création en 2007 une approche qui allie performance et bien-être au travail. Une vision de l’entreprise partagée aujourd’hui par plus de 2 500 Extiens en France et à l'international et récompensée par le label Great Place to Work® depuis 13 ans ! Nous croyons en l'égalité des chances et nous offrons à chaque candidat la possibilité de révéler son potentiel, sans distinction et de quelque nature qu'elle soit. Chez Extia, c’est « D’abord qui, ensuite quoi » alors, allons-y ! D'abord qui Curieux, poser des questions est votre seconde nature Ingénieux, votre imagination débordante vient à bout de chaque problématique Rigoureux, vous ne laissez rien au hasard Passionné, vous vous réveillez chaque matin avec l’envie d’en savoir plus Ensuite quoi Description Du Poste Vous aurez le rôle de support technique aux équipes d’analyse : structurer les données, réaliser des analyses « statistiques » ou « techniques » sur les données, développer des outils d’analyse… Vous mènerez des études afin d’évaluer les nouvelles technologies dans le domaine du Big Data, Data Mining ou Machine Learning afin d’identifier les solutions les plus pertinentes. Vous serez en charge de : Participer à la définition des besoins et à la rédaction des User Stories, Collaborer avec les Data Scientists au développement des modules d’analyse de donnée, Concevoir et construire des architectures de données, Intégrer des sources de données, Vous assurez que les données sont facilement accessibles et que leur exploitation fonctionne comme demandé, même dans des circonstances hautement évolutives, Exécuter des processus ETL (extraire/transformer/charger) à partir d'ensembles de données complexes et / ou volumineux. PROFIL RECHERCHE Vous êtes habitué à travailler aussi bien avec des méta-données qu’avec des données non-structurées. A cet effet vous maitrisez un ou plusieurs des concepts comme l’ETL, le Data mining le Machine learning, les Big data ou encore la Théorie des graphes par exemple, Vous maitrisez les bases de l’analyse statistique, Vous êtes apte à rédiger des scripts en Python et/ou R, et une connaissance d'autres langages de programmation comme Java, Scala ou SAS est un plus, Vous êtes familiarisé avec l’environnement Linux, Une expérience avec les outils de Stockage de fichiers volumineux (HDFS, Data Lake, S3, stockage Blob), la connaissance des infrastructures cloud AWS ou GCP et des bases en streaming temps réel seront aussi de réels atouts. PACKAGE SALARIAL Chez Extia Belgique IT, la transparence fait partie intégrante de l'expérience positive, voici un aperçu des éléments de package salarial dont peuvent profiter nos collaborateurs, sous réserve d'éligibilité Voiture de société ou budget mobilité Chèques repas & Ecocheque Assurance groupe Frais de représentation Plan cafétéria / Flex Income Plan Primes d'apport d'affaire, de cooptation et de formation 20 jours de congés légaux + 12 jours de récupération Ces informations sont communiquées à titre indicatif et seront abordées plus en détails lors du processus de recrutement. LES PETITS PLUS 250 événements par an pour rencontrer tes collègues et des locaux feel good Des formations, conférences et une plateforme d'e-learning avec LinkedIn pour monter en compétences #greatplacetolearn Des Communautés Métiers et du Mentorat pour partager son expertise et en apprendre sur de nombreux sujets #greatplacetoshare Une communauté de e-sport : Extia Gaming ! #greatplacetoplay Envie d’évoluer ? Grâce à notre politique de mobilité interne, explorez de nouvelles opportunités en Belgique ou dans l’un de nos 7 autres pays !
- Company Name
- McKinsey & Company
- Job Title
- Senior Data Engineer – I McKinsey Transformatics
- Job Description
- Who You'll Work With You will work in our McKinsey Client Capabilities Network in EMEA and will be part of our Wave Transformatics team. Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames. Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and project managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI. As a member of the team, you will be responsible for designing, building, and optimizing scalable data solutions that power analytics, reporting, and machine learning. Working alongside a team of data engineers across global hubs, you will lead the development of robust data ingestion pipelines, procuring data from APIs and integrating it into cloud-based storage layers while ensuring data quality through rigorous cleaning and standardization. Your Impact You will also be part of an effort to build next-generation data platforms on the cloud to enable our business stakeholders to have rapid data access and incubate emerging technologies. Additionally, you will mentor junior engineers, and implement data governance practices to ensure security, compliance, and lifecycle management. In this role, you will design and build data products. You will develop and maintain scalable, reusable data products that serve as foundational assets for analytics, reporting, and machine learning pipelines. You will be architecting and optimizing data pipelines You will lead the design, develop, and enhance ETL/ELT workflows using AWS Lambda, AWS Glue, Snowflake, and Databricks You will ensure high-performance, scalable, and cost-efficient data processing solutions. You will manage and scale data infrastructure. You will oversee cloud-based data environments, configure optimized storage solutions (S3, Snowflake, Delta Lake), and manage compute resources for efficient data processing. You will perform tuning and optimization. You will implement advanced query tuning, indexing strategies, partitioning techniques, and caching to maximize efficiency in Snowflake and Databricks. You will check cross-functional collaboration. You will partner with data scientists, engineers, and business teams to deliver well-structured, analytics-ready datasets that drive insights and machine learning initiatives. You will govern data, compliance and security. You will establish and enforce best practices for access control, data lineage tracking, encryption, and compliance with industry standards (SOC 2, GDPR). You will automate and observe build resilient, automated data workflows leveraging tools such as Step Functions and Databricks Workflows. You will implement proactive monitoring, logging, and alerting to ensure system reliability and data quality. You will drive innovation and best practices. You will be responsible to mentor junior engineers, stay ahead of emerging technologies, participate in hackathons, contribute to internal knowledge sharing at team and company levels, and champion continuous improvement in data engineering methodologies. Your Qualifications and Skills Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field 5+ years of hands-on experience in data engineering, ETL/ELT development, cloud-based data solutions, or building data products that serve analytics, automation, or machine learning needs Deep expertise in AWS cloud services, including S3, Lambda, Glue, Snowflake, and designing scalable, cost-efficient data architectures Proficiency in Python, including modularization, writing optimized, production-ready code for data transformations, automation, and workflow orchestration Expert-level SQL skills, including query optimization, performance tuning, stored procedures, and database design best practices Proven experience in designing and implementing scalable data pipelines using AWS Glue, Step Functions, and SQL-based transformations (using stored procedures) Strong knowledge of data modeling, data warehousing concepts, schema design, and partitioning strategies Hands-on experience with Tableau or other BI tools for data visualization and dashboard development Hands-on experience with DevOps and CI/CD, including infrastructure-as-code, version control (Git) and automated deployment strategies Strong problem-solving skills, with a focus on troubleshooting and optimizing complex data workflows for performance, reliability, and scalability Excellent communication and collaboration skills, with the ability to work effectively in agile, cross-functional teams and mentor junior engineers Experience with Databricks for scalable data processing, PySpark for distributed data transformations, and Delta Lake for data versioning (Preferred)