Basic job summary:

The Data Collection and Analysis Expert shall contribute to data-driven decision-making processes. The role involves designing and implementing robust data collection methodologies, performing in-depth data analyses, and generating actionable insights to support project goals and organizational objectives.

The ideal candidate will leverage their expertise in data collection techniques and analysis tools to ensure accurate, reliable, and high-quality data. They will collaborate with cross-functional teams to address complex challenges, inform strategic initiatives, and optimize processes. This role is critical in transforming raw data into meaningful insights that drive innovation, efficiency, and impact within the organization.

Duties & Responsibilities:

Maintain Detailed Project Records for Progress Tracking:

• Keep comprehensive and organized documentation of project activities, milestones, and outcomes to ensure transparency and accountability.
• Regularly update records to reflect the latest developments and maintain an audit trail for reference and reporting purposes.

Track Project Activities and Gantt Charts for Progress Reports:

• Use project management tools and Gantt charts to monitor timelines, deliverables, and task completion rates.
• Identify and flag potential delays or issues to ensure project timelines stay on track.

Communicate Progress Metrics with the Project Manager:

• Generate and share detailed progress reports with the project manager, including key performance indicators (KPIs), milestones achieved, and any deviations from the plan.
• Provide insights and recommendations based on metrics to facilitate informed decision-making.

Lead Data Collection and Analysis Efforts for Specific Projects as Needed:

• Coordinate and oversee data collection activities to ensure they align with project objectives.
• Apply analytical techniques to extract actionable insights from collected data, supporting project objectives and outcomes.

Develop and Present Data-Driven Insights to Inform Project Decision-Making:

• Translate raw data into meaningful insights through visualizations, reports, and presentations tailored to various stakeholders.
• Offer evidence-based recommendations to guide strategic planning and operational adjustments.

Develop and Implement Data Collection Strategies and Plans:

• Design comprehensive data collection frameworks that align with project goals and ensure the collection of relevant, high-quality data.
• Collaborate with stakeholders to tailor strategies that meet specific project needs and objectives.

Design and Develop Data Collection Tools:

• Create effective and user-friendly tools, such as surveys, questionnaires, and interview guides, to gather accurate and meaningful data.
• Test and refine tools to ensure reliability and validity in diverse contexts.

Oversee and Conduct Data Collection Activities:

• Lead fieldwork and data collection efforts, coordinating teams to gather data efficiently and ethically.
• Ensure adherence to data quality standards and integrity protocols throughout the collection process.

Clean, Analyse, and Interpret Collected Data:

• Use statistical and analytical methods to preprocess, clean, and organize data for analysis.
• Apply appropriate analytical techniques to uncover patterns, trends, and insights.

Generate Reports, Visualizations, and Presentations to Communicate Data Insights and Findings:

• Create visually engaging and informative dashboards, graphs, and charts to present findings to stakeholders.
• Write detailed reports summarizing key insights and recommendations for use in decision-making and strategy development.

Stay Informed About Current Data Collection and Analysis Best Practices and Emerging Technologies:

• Continuously update knowledge of methodologies, tools, and trends in data collection and analysis to enhance performance and innovation.
• Experiment with and adopt emerging technologies to improve efficiency, accuracy, and scalability in data handling processes.

Minimum Academic Qualifications:

• Bachelor’s degree in statistics, mathematics, engineering or a related field.

Experience:

• 3+ years of proven experience in data collection and analysis.
• Strong understanding of data collection methodologies (e.g., surveys, interviews, focus groups).
• Experience with data collection platforms (e.g., Kobo Toolbox, ODK).
• Proficiency in data analysis software (e.g., Excel, SQL, R, Python) and visualization tools (e.g., Power BI, Tableau).
• Excellent analytical, problem-solving, and critical thinking skills.

Competencies and Attributes

• Project Management Skills: Proficiency in project planning, scheduling, risk management, and monitoring and evaluation (M&E).
• Communication Skills: Strong writing skills for developing reports,  and articles. Ability to communicate complex information clearly to a range of audiences.
• Stakeholder Management: Ability to effectively engage and maintain relationships with diverse stakeholders.
• Data Analysis and Reporting: Strong analytical skills to interpret data from interviews and project activities, and produce insightful reports.
• Research Skills: Experience in designing and conducting KIIs, including qualitative research methodologies.
• Experience working in the energy sector, particularly on electricity-related projects.
• Familiarity with renewable energy technologies and trends.