Are you a data-driven professional passionate about optimizing dashboards and transforming complex data into actionable insights? Would you like to grow in a dynamic and collaborative environment within a leading company in Project Management and PMO?
Who We Are
MIGSO-PCUBED is a global management consulting firm focused on delivering project, program, and portfolio management as a service. We are a global team of about 3,000 expert consultants operating in Europe, North America, Asia, and Australia.
We work across industries such as Automotive, Aerospace, Energy, and Manufacturing. Every day, we support our clients by driving major projects and digital transformation initiatives—helping them improve efficiency, data accuracy, and decision-making through strong project and data management practices.
What You’ll Do
As a Business Intelligence Consultant , you will play a key role in supporting a digital optimization project within the automotive sector . You will :
- Analyze, troubleshoot, and optimize existing dashboards in Qlik Sense and Power Apps , ensuring performance, accuracy, and usability.
- Evaluate and refine data models, structures, and sources , identifying opportunities to improve efficiency and scalability.
- Propose and implement enhancements to data visualization tools and recommend new BI solutions aligned with business needs.
- Assess the feasibility of migrating data processes to the cloud (Azure, GCP, or AWS).
- Collaborate closely with business stakeholders to define KPIs and translate analytical findings into actionable recommendations.
- Develop ETL processes and data pipelines using tools like Alteryx, BigQuery, or SharePoint .
- Prepare and execute action plans for BI system improvements, ensuring robust change management and documentation.
Who You Are
We are looking for a proactive, analytical, and solution-oriented professional who brings :
4-7 years of experience in Business Intelligence, Data Architecture, or Data Engineering.Strong experience with Qlik Sense, Power BI, Power Apps , and dashboard optimization.Solid understanding of ETL, data modeling, and performance optimization .Experience in cloud environments (Azure, GCP, or AWS).Proficiency in SQL, Python, or DAX .Strong communication and stakeholder management skills.Proven ability to deliver diagnostic and improvement projects in BI environments.(Preferred) Previous experience in consulting or data architecture projects and knowledge of API integrations .Availability to work in Irapuato and QuerétaroWhy You'll Love Working at MIGSO-PCUBED
Our people are our biggest asset—and we’re committed to helping you grow. Here’s what sets us apart :
Global Networking : Connect with a diverse community of project managers from around the world.Multi-Industry Exposure : Expand your horizons across various industries and domains, becoming a versatile expert.Continuous Learning : Access training programs, certifications, internal workshops, and LinkedIn Learning.Career Progression : Grow with us through our structured career development framework.Inclusive Culture : Join a workplace that values team spirit, respect, and a commitment to excellence.What to Expect in the Interview Process
Introductory Call : A quick 15-minute chat with our Talent Acquisition Partner.Microsoft Teams or In-Person Interview : A 1-hour conversation with a Business Manager to explore your experience and goals.Technical Interview : A case study presentation where you can demonstrate your project management expertise.Excited to make an impact?
Apply today and become part of a growing, global team where your ideas and ambition can thrive.
Equal Opportunity Statement
MIGSO-PCUBED recognizes the civil right of every person to obtain and maintain employment without discrimination. We have a longstanding policy that no individual may be refused a job, discharged, or discriminated against in any way due to any protected characteristics established by local, state and Federal law. In all respects, MIGSO-PCUBED is committed to a policy of full and fair equal employment under the law and applies this in all employment decisions, including recruitment, hiring, compensation, engagement staffing, training, promotion, transfer, and termination.