Digital Process Coordinator

at  bufab

We are looking for a Digital Process Coordinator!

QUALIFICATIONS & COMPETENCES

• Several years of experience in data analysis, business intelligence, or a related role.
• Educational background: degree in a Data Science, Computer Science, Statistics, Engineering, or a related discipline.
• Have interest and experience in data engineering, ML & AI.
• Technical Skills: Proficiency in SQL, experience with BI tools (Qlik sense, Power BI, etc.), Testing and knowledge of programming languages (Python, R).
• Analytical Skills: Strong analytical thinking and problem-solving abilities.
• Communication Skills: Excellent verbal and written communication skills to effectively convey complex data insights to non-technical stakeholders.
• Detail-Oriented: High attention to detail to ensure data accuracy and reliability.
• Curiosity: A strong desire to understand the ‘why’ behind data trends and patterns.
• Team Player: Ability to work collaboratively with different teams and departments.
• Adaptability: Comfortable working in a fast-paced environment with changing priorities.
• Fluent in English, oral and written.
• Capable of travelling 20 days per year.

• Building of API, data pipelines between our internal and external systems to our Database.
• Ensure data accuracy and integrity by cleaning and preprocessing the data.
• Actively communicates with the regions regarding master data, tools and processes too stakeholders.
• Perform exploratory data analysis to uncover trends, patterns, and anomalies.
• Use statistical methods to conduct hypothesis testing and predictive modeling.
• Develop and apply data mining techniques to extract valuable business insights.
• Design, develop, and maintain BI reports and dashboards using tools like Qlik Sense & Power BI.
• Translate complex data findings into understandable and actionable insights for stakeholders.
• Ensure reports and dashboards are user-friendly and accessible to non-technical users.
• Work closely with business stakeholders to understand their data needs and objectives.
• Act as a liaison between the data engineering team and business units to ensure data solutions meet business requirements.