2w ago
Senior Data Analyst (English Mandatory)
Senior Data Analyst (English Mandatory)
Requirements
Qualifications
5+ years of IT experience. Hands-on experience in data analysis / business analysis / reporting.
- Proficient in data analysis tools and techniques such as SQL, Python, R or similar programming languages.
- Experience in ETL tools.
- Experience with Power BI.
- Experience with Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics).
- Strong proficiency in DBT (data builder tool) for data transformation.
- Strong understanding of data modelling and database design principles.
SoftSkills:
- Ability to communicate effectively with technical and non-technical stakeholders.
- Problem solving and decision making skills.
- Experience working in a global environment and with virtual teams.
- Experience with effective communication at different levels of the organisation and in English.
Benefits
Additional Information
What do we have for you?
- Full time permanent contract
- 23 days annual leave
- Continuous training: technical and transversal skills and languages. We provide access to several certifications and accreditations and learning programs with our main technological partners, online platforms and more.
- Life and accident insurance.
- Flexible benefits program (health insurance, meal vouchers, childcare vouchers, mobility, and training)
- “Privilige Club” access, where you will find deals for several brands.
- Detailed and personalized onboarding. We’ll be with you in every step of the way so you can feel #soprano from the very beginning.
- Recreational spaces in our offices because work and fun go hand in hand.
- Companionship and great working environment because we know how important the power of togetherness is.
And most importantly you´ll have the opportunity to develop your professional career with us. Together we’ll create an individualized career development plan. We’ll establish goals and we’ll make sure we achieve them together. Your priorities will be ours.
Your voice will be heard! - Join us and be part of something bigger!
The world is how we shape it
Adquirimos el compromiso de respetar la diversidad, creando un ambiente de trabajo inclusivo y aplicando políticas que favorezcan la inclusión y promuevan el respeto social y cultural en cuestiones de género, edad, funcional, orientación sexual y religión con igualdad de oportunidades.
Original Advert
Company Description
Your career starts now...
We are renowned European world leader in consulting, digital services and software development with 56.000 employees in almost 30 countries and more than 4.000 employees in Spain.
We focus on people; their growth and their professional development is what makes us grow and improve constantly.
We are passionate about the digital world and just like you we are looking for the greatest adventures. We want your day to day to be your source of inspiration. We want you to learn, to have fun, to grow and most importantly to enjoy to the fullest.
If you want to be a part of a "Great Place to work" company ...just keep reading!
Job Description
As a Senior Data Analyst, you will be responsible for analyzing and implementing technical and functional requirements, working on improving the current software solution. You will be part of a mixed agile team composed of designers, developers and testers.
Responsibilities / Tasks
This role requires a combination of technical expertise, business acumen and strong communication skills to effectively bridge the gap between business stakeholders and technical teams.
- Use of statistical techniques and data mining methodologies to identify patterns, trends and anomalies in data.
- Collaborate with business stakeholders to understand their needs and requirements. Translate business requirements into technical specifications and data models to ensure effective data collection and analysis.
- Contribute to database design, including data collection mechanisms, data warehousing and data integration strategies.
- Work closely with IT teams to ensure that the infrastructure supports the required data analytics capabilities.
- Create visually appealing and insightful reports and dashboards to communicate key findings and performance metrics, transactional and behavioural data analytics.
- Present findings to business stakeholders in a clear and concise manner.
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