Purpose of role:
The Global Manager Data Analytics for LG plays a crucial role in driving performance, evaluating impact, and providing strategic recommendations to enhance CHW performance and overall program effectiveness across Global Living Goods operations. The Global Manager Data Analytics is responsible for overseeing the development and implementation of workflows for analysis to provide valuable insights on Community Health Worker (CHW) performance. This includes analyzing sales trends, product performance, health performance, and conducting CHW incentive analysis. They review Quality Control data to produce regular reports on LG’s performance.
Key Responsibilities:
You will be tasked with the following:
Development and implementation of analysis workflows: Oversees the development and implementation of workflows for analyzing CHW performance. They design and implement processes to gather data and conduct comprehensive analysis, providing insights into the performance of CHWs.
Reviewing and backstopping reports: Reviews and provides support for weekly, monthly, and quarterly reports on health performance and CHW incentive analysis. They ensure the accuracy and quality of these reports, supporting program teams in utilizing the insights generated.
Supporting the Global Senior Manager Data Science and Analytics: Collaborates with the Global Senior Manager Data Science and Analytics in developing and managing workflows. They provide support in leveraging data and insights to drive program performance and make informed decisions.
Modeling and simulation of operational experiments: Utilizes machine learning algorithms and statistical modeling techniques to simulate and analyze operational experiments. This enables the assessment of new approaches and provides insights and recommendations to enhance performance across Global Living Goods operations.
Utilizing statistical and data visualization tools: Applies statistical and data visualization tools to analyze data and identify trends, patterns, and insights. They use these tools to inform program design, implementation, and evaluation, facilitating evidence-based decision-making.
Qualifications & Experience Required
Master’s degree in computer science, Information Technology, or any other technology related degree.
Professional Qualifications / Membership in professional bodies
Certification in SQL, Statistical programming languages
Essential in Statistical Programming using R or Python and Advanced Excel).
SQL/MYSQL/PostgreSQL/ NoSQL
General IT Skills
Experience:
13+ years of professional work experience in the capacity of data analyst and admin roles for a medium to large organization with multiple offices is essential.
05+ years professional experience of team management in a data function which is supporting an organization with offices in different locations is essential.
Competencies & Attributes:
Hands-on experience of leading and implementing of Program Reporting, Support Operation, Quality Control Analysis and General Management .
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