Purpose of role:

The consultant will be responsible for supporting the use of data analytics, and data science to ensure Living Goods and its partners deepen impact, continuously learn, improve, build, and communicate compelling evidence of strengthened community health systems, high-impact community health practices, and ultimately improved RMNCH outcomes. Key duties will include conducting full lifecycle analysis to include requirements, activities and design. He/she will develop analysis plans and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Key responsibilities:

• Contributing to improved operational performance by providing staff with timely, accurate and quality data analysis that improves organizational performance and leads to greater social impact.
• Support continuous monitoring of KPIs and other indicators by providing timely updates and analysis to specific teams.
• Work collaboratively with various teams to compile reports on specific metrics using the data collected and analyzed while ensuring data quality standards are adhered to.
• Analyze a variety of quantitative and qualitative data from the database as per the requests of LG program delivery teams.
• Document key learnings from data collection, management and analysis giving suggestions on how the data management processes can be enhanced.
• Ensuring that data is presented in a simple, concise and detailed manner communicating the key learnings with the LG team.

Skills & Competencies:

• 5+ years of experience in data analytics with ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Preference will be given to candidates who have worked in the digital health sector.
• Expert knowledge of data modelling, database design, and data systems, including familiarity with various database technologies (e.g., MSSQL, Postgres, MySQL, CouchDB, etc).
• Proficiency in developing, deploying, and maintaining scalable and secure data warehouses and data marts.
• Experience in leading, mentoring, and developing teams of data professionals.
• Ability to translate complex data concepts into understandable terms for non-technical stakeholders and ability to gather and interpret business requirements.
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, R and/or Python)
• Proficiency in using Business Intelligence (BI) tools, such as Power BI, Tableau or Superset, to create dashboards and other data visualizations.
• Strong problem-solving skills and ability to think creatively to overcome challenges and drive innovation in data management.
• Proven ability to successfully manage data-related projects, including planning, coordinating, and ensuring delivery within time and budget constraints.
• Comfort in a rapidly changing environment, with the ability to handle uncertainty and drive problem-solving initiatives.
• Ability to work collaboratively with cross-functional teams, including product management, IT, compliance, and business operations, to achieve project and organizational goals.
• Adept at queries, report writing and presenting findings.