Senior Data Manager at Field Intelligence

Field designs and builds innovative solutions for improving child survival and access to health commodities in several African countries, with a focus on innovative logistics solutions. Our team works from Berlin, Germany and Abuja, Nigeria. We’re looking for engaged people to work with us on the technology which powers our projects. We believe that only diverse teams can build strong solutions to the often wicked problems that health systems in emerging contexts face. We believe people matter the most - those we work with and that we work for. We believe in the power of careful design, incorrigible curiosity, and respect for the people and challenges we engage with. Our aim is to make a meaningful, positive and lasting impact on communities’ access to healthcare.

• We’re looking for an experienced data manager extract, analyse, update and clean data for our pharmaceutical supply chain service. Our services support and shape health systems, and our data managers are key personnel at the heart of these services, maintaining datasets with a special focus on price lists and product master data.
• You will be responsible for managing data in a variety of formats including SQL databases, spreadsheets and in-house systems.
• As a senior data manager you will be ultimately responsible for the integrity of the datasets under your purview. In order to achieve this you will work directly on the data itself but also design and lead initiatives which coordinate pharmacists, supply chain managers, software teams and other data team members.

Required

• Professional experience working with SQL databases (especially PostgreSQL) for data extraction and updates
• Professional experience working with spreadsheets, including advanced use cases such as pivot tables and custom formulae to create business tools for yourself and others
• Professional experience working with large datasets and automating updates
• Analytical thinker: strong ability to decompose complex problems and tackle them methodically
• Detail oriented: must be able to approach problems systematically and thoroughly
• Excellent communication skills and ability to coordinate team members towards a shared goal
• Basic quantitative modelling skills and ability to analyse data using Excel, SQL or other data environments
• Language skills: English (fluent)

Bonus

• Experience working with inventory systems, pharmaceutical and health commodity data
• Additional scripting capability for personal automation and analysis tools

Method of Application