Impact Data Analyst Intern

The Impact Data Analyst Intern supports the organisation's monitoring, evaluation, accountability, and learning (MEAL) operations under the Impact Design and Evaluation department. This role involves assisting in data management, reporting, and administrative support to ensure accurate and timely information for decision-making.

The intern will gain hands-on experience in data collection, analysis, and system maintenance, while being exposed to the use of emerging technologies—such as automation, AI, and data visualisation tools—to improve the efficiency and impact of organisational data practices.

What's great about this opportunity?

• Work and learn in a supportive, participative team that values innovation and collaboration.
• Gain hands-on experience in data analytics, data systems, and impact measurement within the social impact sector.
• Receive mentorship and guidance to support your personal and professional growth.
• Build your portfolio with tangible outputs that demonstrate your skills in analytics, reporting, and data-driven problem solving.
• Develop key competencies, including analytical thinking, problem-solving, and communication skills.
• Receive an internship allowance throughout the programme.
• Engage directly with communities across Malaysia, including Indigenous (Orang Asli) and urban poor groups, and see the real-world impact of your work.
• Contribute meaningfully to improving the lives of B40 communities as part of a #madetoimpact organisation.

To be shortlisted for this position, you will need to have:

• Open to current undergraduate or graduate students from recognised institutions, fresh graduates, or early-career professionals seeking hands-on experience in data analytics or impact measurement.
• Background in data analytics, data science, computer science, information systems, statistics, or other related disciplines.
• Basic proficiency in spreadsheets (Excel, Google Sheets) and data visualisation software (Power BI, Tableau, Looker Studio). Proficiency in programming languages (Python, SQL, R) is an added advantage.
• Interest in AI, automation, and digital innovation for data management and impact analysis.
• Willingness to travel for field data collection and programme visits, including to remote locations.
• Proficient in English and Bahasa Malaysia.

In this role you will:

Primary Role

• Support data management and administrative functions under the Impact Design and Evaluation department.
• Contribute to administrative and operational tasks related to programme monitoring, evaluation, accountability, and learning (MEAL).
• Assist in collecting, cleaning, and maintaining programme and impact data.
• Participate in field data collection activities through surveys, interviews, and programme visits, which may include rural and remote locations.
• Contribute to the preparation of reports, dashboards, and presentations that communicate key insights.
• Support documentation, filing, and data governance processes to ensure data accuracy and accountability.
• Participate in departmental and organisational meetings, training sessions, and programme reviews.

Secondary Role

• Assist in the design and improvement of data systems, tools, and workflows.
• Support research and experimentation with new technologies such as AI, automation, and data visualisation tools.

To successfully contribute to the impact work we do, you will need to have:

• A digital enthusiast with a passion for learning design, community service and helping others.
• Demonstrates understanding and empathy towards the difficulties caused by poverty.
• Prioritises the needs of beneficiaries and safeguards their best interests.
• Displays cultural, gender, religion, race, nationality and age sensitivity and adaptability.
• Self-motivated, curious, and capable of working independently with minimal supervision, while also being a good team player.
• Demonstrates integrity by modeling the SOLS values and ethical standards.
• Promotes the vision, mission, and strategic goals of SOLS.
• Consistently approaches work with a positive, constructive attitude, an eye for detail, and openness to feedback.