Data Analyst at Living Goods

Purpose

• The Data Analyst is a key driver of organizational performance and strategic impact, leading the development and application of data analytics to optimize the effectiveness of CHW programs globally. This role involves developing machine learning algorithms, collaborating with digital health teams and data engineers to build robust data workflows and automation, and providing strategic insights to enhance program outcomes.

Key Responsibilities:

• Data Analysis Workflow and Automation: Lead the design and implementation of advanced data analysis workflows, collaborating closely with digital health teams and data engineers. Focus on creating automated systems that streamline data processing and enhance reporting capabilities.
• Machine Learning Development: Develop and implement machine learning algorithms that predict, analyze, and improve CHW performance metrics and health outcomes. Drive the adoption of these models across the organization to enhance decision-making and strategic planning.
• Quality Control and Data Review: Conduct thorough assessments of quality control data to gauge organizational performance. Produce detailed, regular reports that highlight achievements and identify areas for improvement.
• Strategic Support and Experimentation: Partner with the Global Senior Manager, Data Science and Analytics to refine data strategies and support the deployment of operational experiments. Offer insights that drive performance enhancements and support innovative projects focused on community health.
• Data Visualization and Insights: Utilize advanced statistical tools and data visualization techniques to uncover trends, patterns, and insights. Apply these insights to inform program design, implementation, and evaluation, facilitating evidence-based decision-making.
• Support Data-Driven Innovations: In consultation with Innovations team lead data analysis for innovations and experiments in community health, providing analytical support to pilot projects and new initiatives aimed at improving health outcomes.

Required Qualifications:

• Master’s degree in computer science, Information Technology, Statistics or any other technology related degree.

Professional Qualifications / Membership in Professional Bodies:
Certifications:

• Proficiency certification in SQL and statistical programming languages.
• Essential certifications in statistical programming, specifically in R or Python.
• Advanced proficiency in Microsoft Excel.

Database Proficiency:

• Expertise in various database management systems including SQL, MySQL, PostgreSQL, and NoSQL databases.

General IT Skills:

• Strong foundational skills in information technology, capable of supporting complex data systems and infrastructures.

Experience:

• Minimum of 4 years of professional work experience in the role of a data analyst, including administrative responsibilities, within a medium to large organization that has multiple offices. This experience is crucial for understanding the complexities and dynamics of managing data across diverse geographical locations.
• At least 5 years of professional experience in managing a team within a data function that supports an organization with offices in various locations. This experience is essential for ensuring effective leadership and the ability to foster a collaborative and productive team environment.

Competencies & Attributes:

• Program Reporting and Operational Support: Demonstrated hands-on experience in leading and implementing comprehensive program reporting and operational support frameworks. Capable of managing and optimizing systems that facilitate efficient data handling and reporting processes.
• Quality Control Analysis: Expert in conducting rigorous quality control analysis. Able to meticulously assess data and workflows to ensure accuracy and consistency across all reporting standards and practices.
• Self-Drive: Highly motivated and able to initiate and complete projects autonomously. Exhibits a strong work ethic and the ability to push projects forward even in challenging circumstances.
• Teamwork and Collaboration: Exceptional ability to work collaboratively across teams and disciplines. Brings a spirit of cooperation and a can-do attitude to cross-functional team efforts, ensuring that all team members are engaged and contributing to their full potential.