CMI Project Manager: Data Analytics

CMI Project Manager: Data & Analytics Location:  SA and SSA Who We Are At L'Oréal, we believe that our people are our greatest asset. We foster a culture of learning, growth, and innovation, empowering our teams to reach their full potential and drive our business forward. As a global leader in beauty, we are committed to attracting, developing, and retaining top talent who share our passion for excellence. A Day in the Life As the CMI Project Manager: Data & Analytics , you will play a pivotal role in shaping the future of L'Oréal by conducting market, consumer and social insights studies. You will successfully manage projects from end to end, leveraging your data & analytics expertise to deliver impactful insights. Key Responsibilities: Data & Analytics Expertise:  Utilize your deep understanding of market data - market sizing, performance, and competitive intelligence data - to drive strategic decisions. Business Intelligence:  Experience in business intelligence is highly advantageous, enabling you to extract meaningful insights from complex datasets. Problem Solving & Insights Generation:  Fetch information from various sources, analyze it effectively, and provide clear diagnoses and recommendations for business issues. Data Analysis & Reporting:  Employ statistical and analytical methods, including AI tools, to automate processes in the data analysis and reporting cycle. Data Integrity:  Ensure the accuracy and reliability of data by expertly processing, cleansing, and validating it for analysis. Data Visualization:  Communicate insights with impact, clarity, and conviction using your expertise in data visualization software. Customer & Marketing Analytics:  Conduct in-depth customer and marketing analytics, providing both strategic and tactical business decision support. Holistic Insights:  Provide well-rounded insights by filling information gaps using diverse sources - primary and secondary research, competitive insights, and in-house data analytics. Strategic Collaboration:  Accompany stakeholders in the development of strategy, products, and concepts, going beyond research delivery to actively contribute to achieving business objectives. Agency Management:  Brief and collaborate effectively with external agencies as needed. Communication & Influence:  Possess strong communication skills to effectively deliver analytics results with impact and influence stakeholders. Innovation & Best Practices:  Continuously challenge the traditional research methods, staying abreast of data & insights industry evolution, and bringing best practices and new methodologies to projects. Autonomy & Initiative:  Work autonomously with minimal intervention, demonstrating a proactive and self-driven approach. Technical & Professional Competencies Required: Research & Insights:  Strong understanding of research methodologies and analysis, with the ability to create clear briefs that translate business needs into research requirements. Analytical Expertise:  Possess deep analytical expertise, be statistics savvy, and excel at making numbers meaningful for business impact. Data Synthesis:  Advise the business by summarizing and leveraging data, including digital, CRM, media, and retailer information. Actionable Recommendations:  Synthesize reports into concise, actionable summaries, providing strong recommendations based on business objectives. Creative Problem Solving:  Possess an inquisitive and creative mind, enabling you to find innovative solutions to complex challenges. Project Management:  Exceptional project management skills, with the ability to effectively manage numerous projects simultaneously. Self-Motivation & Discipline:  Demonstrate a strong work ethic, self-motivation, and discipline to consistently deliver high-quality results. Teamwork & Collaboration:  Thrive in a team environment and excel at building internal networks within the company. Results Orientation:  Go the extra mile to achieve exceptional results and exceed expectations. Education, Knowledge & Experience Bachelor's degree in Business, Marketing, or a related field. - years of proven experience in a data and analytics environment. Experience in the research industry, ideally with experience in both agency and client-side organizations. FMCG industry experience is highly advantageous. Proficiency in data analytics and visualization software. What We Offer: At L'Oréal, we believe in rewarding and recognizing the contributions of our people. We offer a competitive compensation and benefits package, exciting opportunities for professional growth, and a dynamic and inclusive work environment. We're committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual's gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio -economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law. If you are a passionate data & analytics professional with a desire to make a difference in a global organization driven by innovation and excellence, apply now! Puedes inscribirte en un máximo de tres ofertas en un período de días. No puedes retirar tu solicitud una vez enviada, así que asegúrate de elegir la posición que mejor se adapte a tus habilidades y aspiraciones.