Purpose of the position
To support the Lesotho project team in analyzing large complex datasets throughout the project base period. Use modern data science tools, techniques, and best practices including data cleaning, statistical analysis, and machine learning to summarize and visualize data. Help identify and create system performance insights.
Key Accountabilities
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Providing analyses and visualizations that inform decision makers.
- Proposing system improvements through insights developed by analysis.
- Developing performance indicators and metrics
- Delivering relevant reports, dashboards and ad-hoc analytics as directed by management.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Supporting the development of algorithms for our analytics platform to answer key questions users are asking.
- Supporting data mining, patient level to national level data, using state-of-the-art methods.
- Extending company’s data with third party sources of information when needed.
- Doing ad-hoc analysis for both internal and external stakeholders and presenting results in a clear manner.
- Providing support and co-ordination to Data Science team.
- Co-ordinating with product owners, engineering and data science teams for data flow, processing and visualization.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Qualifications
Essential qualifications
- Undergraduate degree in Computer Science, Mathematics, Statistics, Physics Data Science or related field.
Desirable qualifications
- Masters degree in Computer Science, Mathematics, Statistics, Physics, Data Science or working towards a post graduate degree.
Experience & Skills
- A minimum of 5 years’ relevant experience in analytics in a fast paced, product-oriented environment.
- Prior experience in a donor funded (ideally USG) project advantageous
- Prior experience working on health related systems such as DHIS2, OpenMRS and eRegister
- Proven experience with common data science toolkits, such as R, MATLAB, SPSS or SAS etc. Excellence in at least one of these is highly desirable.
- Exposure to the data science life cycle.
- Proven experience with data visualization tools, such as D3.js, GGplot, etc.
- Exposure to machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Proven proficient in one or more of the following programming environments: SQL, Python, Java, Go or C/C++.
- Some understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
- Proven ability to understand, prepare, and analyse large and complex data sets.
- Proven ability to analyse data, draw insights, and prepare reports in a cohesive, intuitive, and simplistic manner.
- Professional proficiency in written and oral communication skills in English.
- Expert skills with MSOffice.
Personal Qualities & Behavioural Competencies
- Ability to collaborate and work with cross-functional, multi-disciplinary teams.
- Self motivated and able to effectively prioritise and plan work.
- Ability to work effectively across a number of projects.
- Highly organised with a strong focus on attention to detail.
- Solution focused.
- Committed to high standards and continuous improvement
- Good influencing and interpersonal skills with people at all levels
- Ability to operate in a high-pressure environment with conflicting priorities and tight timelines
- Resourceful, creative and innovative approach to work
- Ability to build rapport and credibility with stakeholders
Capabilities
Winning, Enabling and Delivery of Projects
- Opportunity Development, Capture Management, Proposal Development, Organized, Disciplined, Analytical
People Leadership/Self Leadership
- Selections, Development, Delegation, Example, Self-Confidence, Independently responsible, Curiosity, Change Management
Strategic and Holistic Decision Making
- Governance and legal awareness, Financial acumen, Risk management, Strategic perspective
Relationship Management
- Institutional Representations, Taking the long view, Building common ground, Mutual respect, Responsiveness, Standing for the other, Engagement