Digital Data Lead (Freelance)

Philips challenges you to use your analytical and project management skills to create growth for our business and yourself. The goal is to turn data into information, information into insight and insight into global business decisions. You will be responsible for conducting full lifecycle analysis to include requirements, activities and design; develop analysis and reporting capabilities; and monitor performance and quality control plans to identify improvements.

Your responsibilities

As a Digital Data Lead, you will :

• Support the growth and development of our Coffee Digital platforms (web, app, appliance)
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Build predictive models and define machine-learning needs    

Your team

You will be part of the Coffee team in Amsterdam a dedicated group of Marketers, business developers digital Managers within the Business Group Domestic Appliances. As a Digital Data Lead, you will be the key contact between Coffee and all relevant "data" partners across the company (e.g. I&D team and supplier, Marketing Intelligence, Business Group & Commercial Organization Market 2 Order teams, Strategy etc.) and outside (e.g. ecosystem partners etc.).

Our offer

We welcome you to a challenging, innovative environment with great opportunities for you to explore.

We are looking for

Experience & Qualifications & Knowledge

• Proven up to 5 years working experience as a Data scientist / Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Personality Characteristics

• Confident communicator capable of inspiring strong collaboration in an organization
• Very organized and good at planning
• Entrepreneurial with creative nature
• Results driven and pro-active
• Ability to identify and solve problems
• Self-reliant and Change leader