MOLINS | Imagine. Project. Build.

Step into an exciting opportunity with Molins, a solid and solvent company with a long history of innovation and growth. Here you’ll work alongside a team of passionate and enthusiastic professionals who foster a collaborative and supportive environment.

Imagine, project and build your own career, at Molins you’ll have the freedom to shape your own career path, continuously learning and evolving while contributing your expertise to meaningful projects. If you’re ready to make an impact and help build a better future, this is the place for you.

And speaking about the future, shall we talk about yours?

JOB DESCRIPTION

As a Data Analyst, you will be responsible for leading projects for developing data models, reports, and interactive dashboards to support strategic decision-making. You will collaborate with various departments to understand their data needs, design effective visualizations, and ensure the accuracy and quality of the information presented, thereby contributing to the success of data-driven initiatives. You will also be responsible for optimizing the data structure and proposing innovative solutions to enhance access to information.

KEY RESPONSABILITIES

As a Data Analyst, your key responsibilities will include:

• Demand Management: Initial understanding and assessment of initiatives. Collaborate with business units and other departments to identify data needs and design data utilization strategies.


• Requirement Analysis and Prioritization: Both at the initial stages and during the detailed conceptualization of data products and projects.


• Communication Coordination: Facilitate communication between business areas and technical teams in different modalities.


• Project Management: Ensure proper execution, reporting, and supervision of assigned projects and initiatives.


• Operational Issue Resolution: Solve operational issues and questions that arise during the development and implementation of initiatives.


• User Reviews and Acceptance: Check user reviews and acceptances, ensuring deliverables meet business expectations and requirements.


• Data Structure Optimization: Improve data structures and accessibility.


• Documentation and Procedures: Document and maintain up-to-date procedures and methodologies.


• Evaluation of Change Requests and Incidents: Provide support and manage incidents and changes of the data assets.


• Staying Updated with Tools and Technologies: Stay up to date with the latest tools and technologies in the field of data visualization.


• Participation in Continuous Improvement Committees: Actively participate in continuous improvement committees, taking responsibility for implementing the resulting changes.

WHAT DO WE OFFER?

• Competitive salary + bonus.


• Hybrid and flexible remote work model.


• Flexible working hours.


• Shorter workdays on Fridays and during the summer.


• Canteen with special prices for employees.


• Physiotherapy services at reduced rates for employees.


• Flexible compensation options (restaurant tickets, medical insurance).


• Continuous training.

We are hiring a professional who meets the following requirements:

• Bachelor's degree in Computer Engineering, Mathematics, Statistics, or a related field.


• Minimum of 3 years of experience in a similar role.


• Advanced knowledge of ETL, data modeling, and data analysis.


• Strong skills in designing and optimizing interactive dashboards.


• Advanced level of English and Spanish.


• Experience in project management and the implementation of data solutions.


• Knowledge of IT demand management and agile methodologies to ensure a suitable conceptualization of initiatives.


• Innovation in creating advanced data visualization and analysis solutions.


• Ability to optimize data structures and improve efficiency in data access.


• Strong organizational and management skills, with the ability to coordinate multiple activities, prioritize tasks, and ensure timely project delivery.


• Effective communication skills to act as an intermediary between technical teams and business areas.


• Results-oriented mindset, with the ability to prioritize and refine requirements in dynamic environments.


• Analytical and problem-solving abilities to assess incidents, change requests, and improvement proposals.