DATA ANALYST - ADVANCED ANALYTICS

Thank you for your interest in this opportunity! Your application will only be considered complete after finishing a digital assessment. At the end of your application, and if you meet the required criteria for the role, you will receive a link via your registered email to access it. This step is mandatory, as our recruitment process is based on competency assessment.

We are a company of everyone and for everyone. At MC, we put people at the center: customers, employees, and the community. We create value together, innovate at every step, and lead with closeness, recognizing each person’s unique qualities. Different stories and ideas unite us under the same purpose: to grow and become the best version of ourselves. Because everything we are, we achieve together.
So, join us!

We are looking for a Data Analyst to join our Supply Chain team, and we believe we’ll be #betterwithyou!

We count on you to…

• Develop and implement analytical models and algorithms to solve real-world supply chain challenges involving cost trade-offs across multiple stakeholders;
• Analyze large volumes of operational data to identify patterns, inefficiencies, and opportunities for improvement;
• Build decision-support solutions by translating analytical insights into actionable recommendations for business teams;
• Design and validate management KPIs to continuously monitor and improve supply chain processes;
• Collaborate with cross-functional supply chain teams to understand business challenges and design analytical solutions aligned with operational realities;
• Present methodologies and results to both technical and non-technical stakeholders, ensuring clarity and supporting decision-making.

So, bring with you…

• 2 to 4 years of experience in analytical roles, ideally with exposure to Data Science, Advanced Analytics, or Business Analytics projects;
• Bachelor's or Master's degree in Engineering, Mathematics, Statistics, Data Science, or a related field;
• Strong knowledge of applied Statistics (e.g., predictive models, time series analysis);
• Proficiency in Python for data analysis and model development;
• Strong SQL skills for data extraction and manipulation;
• Ability to structure complex problems and translate them into robust analytical solutions;
• Strong communication skills, with the ability to present technical findings to diverse audiences and provide actionable business recommendations;
• Previous experience in Supply Chain, Logistics, or operational environments is a plus, but not a mandatory requirement;
• Strong analytical mindset and rigorous problem-solving skills;
• Curiosity to explore data beyond the obvious and challenge assumptions;
• Ability to independently manage projects from end to end, thriving in ambiguous environments;
• Collaborative mindset and eagerness to work closely with business teams.

What we have for you…

• Meal Allowance in Dá Card;
• Telecommunications Plan with voice, data, and equipment for permanent employees;
• Flex it Up Program - Extra Off Days, Unpaid Leave, Flexible Work Model (when applicable);
• Health and Life Insurance (for permanent employees) with the possibility of extending Health Insurance to family members with advantageous conditions;
• Flexible Benefits Program (when applicable);
• Onboarding and Initial Training Plan, Continuous Training platform, and Financial Literacy Program;
• School Awards and Merit Scholarships for employees’ children (regular and inclusive education), as well as Holiday Programs during school breaks;
• Flu Vaccine including its administration (voluntary participation);
• We Are Sonae Program, providing psychosocial, financial and legal support to employees;
• Ergocoaching Sessions;
• Mental Health Promotion Programs and Nutrition Consultations;
• Discount and Partnership Program with over 300 leading brands;
• Free coffee and fruit available at the workplace;
• Competitive Salary;
• Collaborative and dynamic work environment.

#BETTERTOGETHER #BETTERWITHYOU

MC Sonae D&I Commitment:
We work to create a work environment based on the richness of profiles and focused on uniqueness, ensuring that everyone feels respected, valued for their skills, and confident in the organization.