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.
Job description
- We need your help to build out the processes and infrastructure delivering deliver data services to governments, NGO partners, commercial clients and internal teams, using data from our supply chain management suite. Our data services drive supply chain and programmatic decision making, our own operations, and the strengthening of public health programs across Africa.
- This role is perfect for someone who thrives at the intersection of technical architecture, domain modelling and process optimization.
Data services
- Champion data as a product: prioritize delivery of scalable, well-documented, reusable data assets, and work with strategy and business units to collaboratively develop new externally facing data-driven services
Organizational capacity
- Build, mentor, and lead a high-performing data function across data management team, engineering, and department leads
Data environment
- Working with data managers and infrastructure and engineering teams, own and manage the application and analytic databases, ensuring that schema, queries and DBMS configurations are verifiable, documented, maintainable and performant
- Introduce and improve tools and frameworks for data quality, monitoring, lineage, and CI/CD for data
- Work with engineering to evolve our data architecture to support analytics, operational, and ML use cases
Data analysis
- Explore our historical and operational data with data managers to derive meaningful operational and commercial insights, and assemble reports for internal and external clients
Required
- Professional experience applying advanced statistical methods to data management and analysis
- Advanced working knowledge of and professional experience with querying and manipulating data using relational databases (postgres), document databases (elasticsearch, couchdb), spreadsheets (google sheets, excel)
- Deep understanding of data lifecycle, from ingestion to transformation, governance, and delivery
- Strong grasp of data modeling, testing, and reliability principles
- Professional experience working with datasets for business intelligence and/or management information systems
- Pro SQL and relational database management skills
- Experience building or evolving modern data stacks
- Excellent quantitative communication skills and proven ability to problem solve with a multi-disciplinary team
- 6+ years of experience in a database management, data science role or equivalent
- Graduate degree in scientific or mathematical field
Method of Application
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