Business Analyst – VisualFabriq
Il y a 1 jour
Tétouan, Tangier-Tetouan-Al Hoceima, Maroc
NTT DATA Middle East and Africa
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NTT DATA is a US$30+ billion business and technology services leader, serving 75% of the Fortune Global 100, and is committed to accelerating client success while positively impacting society through responsible innovation. As one of the world’s leading AI and digital infrastructure providers, NTT DATA delivers unmatched capabilities across enterprise-scale AI, cloud, security, connectivity, data centres, and application services, as well as business process services (BPS) and SAP solutions.
Through its consulting expertise and industry solutions, the company helps organisations and society move confidently and sustainably into the digital future.
Recognised as a Global Top Employer and as a Top Employer in Morocco for the third consecutive year, NTT DATA brings together experts in more than 70 countries. We also offer clients access to a robust ecosystem of innovation centres, as well as established and start-up partners.
NTT DATA is part of NTT Group, which invests over US$3 billion each year in R&D.
Inclusion and diversity are at the heart of NTT DATA’s culture. We are committed to ensuring that everyone — regardless of background, identity, or circumstance — feels valued, respected, supported, and empowered to succeed.
NTT DATA strives to build a truly diverse and inclusive workplace, welcoming applications from individuals of all backgrounds, experiences, and perspectives, including but not limited to gender, ethnicity, religion, disability, and orientation.
We are looking for an analytical and solution-oriented professional to join the VisualFabriq project. The ideal candidate will have strong problem-solving skills, confidence working with data and numbers, and the ability to develop solutions independently.
A high level of English is essential. Previous experience in FMCG or TPM is a plus but not mandatory, as a strong analytical mindset and willingness to learn are key.
Key Responsibilities
• Analyse business problems and translate them into structured, logical approaches.
• Work with quantitative data, formulas, assumptions, and business rules to identify solutions.
• Interpret data, identify patterns, and draw logical conclusions.
• Develop and test hypotheses to solve unfamiliar business challenges.
• Apply deductive reasoning and critical thinking to support decision-making.
• Work independently through complex scenarios, demonstrating initiative and sound judgement.
• Communicate analytical findings and proposed solutions clearly to stakeholders.
• Learn and apply new business concepts, tools, and methodologies. Required Skills and
Qualifications:
• Strong analytical thinking and structured problem-solving skills.
• Excellent logical, quantitative, and deductive reasoning abilities.
• Confidence working with numbers, data, formulas, and business logic.
• Ability to understand unfamiliar problems, structure information, and develop solutions independently.
• Strong critical-thinking skills and attention to detail.
• Good communication skills, with the ability to explain reasoning and conclusions clearly.
• Proactive attitude, intellectual curiosity, and willingness to learn. Preferred Academic Background: A degree or academic background in one of the following fields would be an advantage:
• Engineering.
• Mathematics or Statistics.
• Data Analytics or Data Science.
• Computer Science or Information Technology. Candidates from other academic backgrounds will also be considered if they can demonstrate strong analytical and problem-solving capabilities. Nice to Have:
• Previous experience in FMCG, Trade Promotion Management (TPM), or business analytics.
• Experience working with data analysis tools, Excel, or other quantitative applications.
• Exposure to business modelling, hypothesis testing, or data-driven decision-making. What We Are Looking For We are looking for candidates who can think beyond predefined procedures, approach new challenges with curiosity, and develop their own reasoning to reach effective solutions. If you enjoy solving business problems, working with data, and turning complex information into actionable insights, we would love to hear from you.
Key Responsibilities
• Analyse business problems and translate them into structured, logical approaches.
• Work with quantitative data, formulas, assumptions, and business rules to identify solutions.
• Interpret data, identify patterns, and draw logical conclusions.
• Develop and test hypotheses to solve unfamiliar business challenges.
• Apply deductive reasoning and critical thinking to support decision-making.
• Work independently through complex scenarios, demonstrating initiative and sound judgement.
• Communicate analytical findings and proposed solutions clearly to stakeholders.
• Learn and apply new business concepts, tools, and methodologies. Required Skills and
Qualifications:
• Strong analytical thinking and structured problem-solving skills.
• Excellent logical, quantitative, and deductive reasoning abilities.
• Confidence working with numbers, data, formulas, and business logic.
• Ability to understand unfamiliar problems, structure information, and develop solutions independently.
• Strong critical-thinking skills and attention to detail.
• Good communication skills, with the ability to explain reasoning and conclusions clearly.
• Proactive attitude, intellectual curiosity, and willingness to learn. Preferred Academic Background: A degree or academic background in one of the following fields would be an advantage:
• Engineering.
• Mathematics or Statistics.
• Data Analytics or Data Science.
• Computer Science or Information Technology. Candidates from other academic backgrounds will also be considered if they can demonstrate strong analytical and problem-solving capabilities. Nice to Have:
• Previous experience in FMCG, Trade Promotion Management (TPM), or business analytics.
• Experience working with data analysis tools, Excel, or other quantitative applications.
• Exposure to business modelling, hypothesis testing, or data-driven decision-making. What We Are Looking For We are looking for candidates who can think beyond predefined procedures, approach new challenges with curiosity, and develop their own reasoning to reach effective solutions. If you enjoy solving business problems, working with data, and turning complex information into actionable insights, we would love to hear from you.