Sothema is a Moroccan pharmaceutical laboratory, specializing in the manufacturing and marketing of medicines since 1976. With over 250 manufactured products, Sothema represents 35 international partner laboratories among the world leaders in Research & Development.
With an industrial tool at the forefront of innovation, Sothema benefits from recognized expertise that allows it to be the sole producer of insulin and eye drops in Morocco, and to position itself as a leader in the manufacture of flexible bag serums and cephalosporins. Thanks to its sterile block units, Sothema also specializes in injectable pharmaceutical forms such as pre-filled syringes, ampoules, and injectable vials.
Its injectable plant is the largest in Africa. Sothema's activities are certified in compliance with international quality (ISO) and manufacturing (BPF and GMP) standards: France, Belgium, Holland, Germany, Portugal...
Company culture :
Sothema operates within a performance-driven and competitive culture, where ambition, results orientation and customer focus are key priorities. This dynamic is closely balanced by a collaborative environment that promotes trust, teamwork and close leadership. The company also relies on a structured organization to ensure efficiency, quality and process consistency. An innovation component further complements this balance, supporting adaptability and continuous improvement.
Job :
As part of the development of its Data and Digital projects, SOTHEMA is recruiting a Senior Data Analyst to support the transformation of data into decision-making tools. Reporting to strategic projects related to Data, AI, and digital transformation, he/she will collaborate closely with the Business, Data, IT, and Digital teams to produce high-value-added analyses and contribute to the company's performance.
Data Analysis and Valorization
Collect, consolidate, and analyze data from multiple sources to produce high-value-added information.
Identify trends, opportunities, and performance levers through data analysis.
Conduct exploratory analyses and business studies to inform strategic decisions.
Contribute to the definition, implementation, and monitoring of key performance indicators (KPIs).
Reporting & Data Visualization
Design, develop, and maintain dynamic dashboards and reports that meet the needs of various stakeholders.
Ensure the reliability, quality, and consistency of the data and indicators provided.
Produce clear, concise, and business-oriented analyses and presentations to facilitate decision-making by various departments.
Contribution to Data & AI Projects
Participation in Data, AI, forecasting, and automation projects in collaboration with Data Engineering and Data Science teams.
Translate business needs into actionable analytical requirements.
Contribute to the continuous improvement of Data processes and tools.
Data Governance and Quality
Contribute to the continuous improvement of data quality and reliability.
Participate in the definition and formalization of management rules and data repositories.
Identify anomalies and propose appropriate corrective actions.
Required profile :
Master's degree (Bac+5) from a top engineering school or equivalent, with a specialization in Data, IT, Statistics, Business Intelligence, Applied Mathematics, or Data Science.
5 to 8 years of experience in Data Analytics or a similar role, with participation in high-value-added Data projects; experience in the industrial or pharmaceutical sector is a plus.
Advanced proficiency in SQL, Power BI, and Excel, as well as in data analysis, modeling, and visualization.
Good knowledge of data governance and quality principles.
Strong analytical skills and a results-oriented critical mind.
Excellent interpersonal and communication skills, with the ability to collaborate effectively with business and technical stakeholders.
Autonomy, organizational skills, curiosity, and a strong interest in Data and innovation topics.
Head office address :
Bouskoura 27182 Casablanca
Desired personality traits :
Flexibility
Need for action
Team work
Involvement at work
Organization
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