Statistician (Analyst) - Short-term contract at Living Goods

Responsibilities

Data analysis and reporting (70%)

• Analyze routine program performance data to better understand the drivers and restrainers of CHW performance across Kenya and Uganda.
• Write queries for data extraction of new initiatives and update existing queries to make them more efficient and relevant.
• Create visual and written reports on our impact KPIs including data analysis and insights, to communicate impact data to internal and external stakeholders.
• Support internal and external reporting of our impact data and present progress and findings for various audiences.
• Conduct any other adhoc and strategic analyses as may be deemed necessary by the line manager and LG leadership to support program implementation, impactful storytelling, fund raising efforts, etc

Research, innovations and learning (30%)

• Conduct further analyses of existing research data/program data e.g the Uganda Family Planning evaluation and Uganda/Kenya Immunization evaluation to answer priority learning questions
• Contribute to existing research and innovations initiatives by participating in design meetings, trainings, quality assurance, data management, etc as needed
• Generate insights from data deep dives of LG’s program data and triangulation with other sources such as DHIS2, national surveys, etc and package them for various audiences e.g. quarterly program review meetings and stakeholder reports.

Deliverables

• Timely automated monthly reports reflective of the latest program KPIs and targets (e.g. Program KPIs, CHW incentives, Staff commissions, peer supervision, family planning, immunisation, Covid-19)
• Participant selection and documentation of the experiments (e.g self-injection, CHW compensation, Telemedicine project, etc)
• Survey CTO workflows built and design workshops conducted with the program teams to support peer supervision rollout in Uganda.
• Automation codes (in R studio, SQL, etc.) for all the routine program reports and other routine processes worked on.
• Data analytic deep dive Inputs into Q1 and Q2 2022 program reviews at country and cross-country level
• Further analyses of the FP program and survey dataset to answer critical learning questions
• Additional deliverables to be agreed as a part of the ad hoc support

Experience and Qualifications

• A first degree in epidemiology, statistics, data science, quantitative economics or a related field. A postgraduate degree in a relevant discipline would be an added advantage
• Advanced knowledge on Statistical Programming Packages (R studio is a MUST plus any other of STATA, Python, Power BI solutions, and advanced Excel)
• Advanced experience in relational database management skills e.g. SQL/MYSQL
• Knowledge of survey tool mobile platforms preferably Survey CTO and ODK
• Excellent written, verbal, and interpersonal communication skills
• Experience working with multiple stakeholders with diverse backgrounds and skills
• Ability to translate analysis and findings to non-technical audiences through writing and presentations
• Demonstrated ability to work independently, pay attention to detail, be highly organized, use judgement, and meet deadlines