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Data Information Manager

2 weeks ago

Stellenbosch, Western Cape, South Africa Peace Parks Foundation Full time
Job Overview

The Peace Parks Foundation seeks a highly skilled Data Coordinator to lead the implementation of its Monitoring, Evaluation, and Learning (MEL) framework. This role will involve designing and implementing robust MEL systems, conducting data analysis, and generating actionable insights to inform strategic decision-making.

Key Responsibilities
  1. MEL Coordination:
    • Develop and implement MEL plans and log frames aligned with the organisation's strategic framework.
    • Oversee the design and implementation of monitoring plans for key programmes and initiatives.
    • Provide technical guidance and support to programme teams on MEL methodologies and tools.
  2. Data Management and Analysis:
    • Lead the collection, cleaning, and management of high-quality data from diverse sources.
    • Conduct advanced data analysis using statistical software and data visualisation tools.
    • Generate insightful reports and dashboards to inform decision-making and programme improvement.
  3. Knowledge Management and Learning:
    • Facilitate knowledge sharing and learning within the organisation through workshops, training sessions, and documentation.
    • Conduct research and literature reviews to identify best practices and emerging trends in MEL.
    • Support the development and implementation of a learning agenda to capture lessons learned and inform future programming.
  4. Partnership and Collaboration:
    • Build strong relationships with programme teams, partners, and stakeholders to ensure effective collaboration and data sharing.
    • Represent the organisation at external meetings and conferences to share knowledge and expertise.
Required Skills and Qualifications
  • Bachelor's degree in Science with a focus on Data Management or a related field.
  • At least 3-5 years of experience in a similar role.
  • Basic understanding of data modelling concepts and techniques, including statistical modelling and data transformation.
  • Familiarity with data management principles and practices, including data quality management.
  • Able to create basic data visualisations using tools such as PowerBI, Microsoft Excel, Google Sheets, and web-based dashboards.
  • Strong written and verbal communication skills to effectively convey data insights and findings to both technical and non-technical audiences.
  • Ability to identify and solve basic data-related problems using analytical thinking skills.
  • Meticulous attention to detail to ensure data accuracy and consistency.
  • Ability to collaborate effectively with cross-functional teams to achieve project goals.
  • Willingness to learn new data analysis techniques and tools to stay up-to-date with industry trends.