Data Analyst

Job Description - Data Analyst

Business Unit: Product

Line Manager: Director: Learning and Impact

Direct Reports: none

Job Level: 2 - Individual Contributor

Location: Remote, based in Cape Town

Salary: R35,000 per month.

About Siyavula

Siyavula Foundation is an NPO in the EdTech space based in Johannesburg, South Africa. Our mission is to champion a love of maths and science by creating rich, integrated learning experiences for people everywhere through the use of science and technology.

Our values as a company speak to how we plan to accomplish this mission and the related goals: We want to make a difference that positively impacts millions of lives. For real success this must be done with the utmost integrity and will be extremely hard work, requiring us to be tenacious and entrepreneurial. We embrace this challenge with enthusiasm and openness, accepting our own agency in constantly learning and working in collaboration with stakeholders, both internal and external, to achieve our goal.

The kind of work you will be part of 

The Data Analyst role at Siyavula Foundation is crucial for leveraging user, product, business, marketing, and socio-economic data to inform strategic decisions and improve the learning platform for mathematics, physics, and chemistry students. This role involves gathering, analyzing, and presenting data to enhance user experience, optimize product features, track usage, understand market trends, and measure our impact. The role requires collaboration with all teams for exection.

What we are looking for

We are looking for an Analyst with 3-5 years experience who understands data as a strategic asset - how data plays a role in the big picture of product development. They’re curious enough to dig deeper, have a point of view and who leverages data to drive business and social impact. 

Required Skills

• A solid foundation in statistics and practical experience with statistical software.
• Advanced proficiency of SQL, SQLAlchemy, Python, and Jupyter Notebooks (particularly pandas).
• Proficiency in data visualization tools, such as Tableau, Power BI, Looker, or Matplotlib/Seaborn.
• Strong analytical abilities to compile, structure, examine, and present data sets with precision and clarity.
• Able to critically evaluate data to derive meaningful and actionable insights.
• Strong data storytelling skills—able to simplify complex data insights for non-technical audiences.
• Experience designing interactive dashboards that enhance decision-making and usability.
• Good report writing and communication skills.
• A high level of attention to detail and an ability to ensure data accuracy and integrity.
• Good problem solving skills to optimise data processes and reporting.
• High ethical integrity – ensuring privacy, data security, and the ethical use of data in their analyses.
• A bachelor’s degree in Computer Science, Information Management, Statistics, or a comparable discipline is preferred.
• Prior experience in data analysis or a related field is advantageous.

Roles & Responsibilities

• Ensure data quality by identifying and addressing data inconsistencies and errors.
• Clean data and carefully check reports and outputs for accuracy.
• Gather and process data from various sources, both internal and external, including databases, spreadsheets, and APIs.
• Collaborate with the Product Manager to develop and maintain a system for collecting and analyzing qualitative data (e.g., user feedback, teacher testimonials) to complement quantitative findings.
• Collaborate with cross-functional teams to understand business objectives, identify key metrics, and provide for their reporting needs.
• Collaborate with the Product team to ensure the database is functioning properly
• Create useful reports for both internal teams – often sent to external clients – and the siyavula.com website.
• Develop reports specifically for funders that highlight key impact metrics related to student learning outcomes, engagement, and equity.
• Align with the Product Manager to prioritise organisational needs, and support business units, and programmes.
• Develop, maintain, and enhance dashboards that provide real-time insights for key stakeholders.
• Use data visualization best practices to ensure dashboards effectively communicate trends and patterns.
• Create and maintain processes for generating accurate reports, and identify opportunities for process improvements.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Apply statistical techniques to understand data distributions and relationships.
• Adhere to data governance practices and maintain data integrity.
• Utilise data analytics tools and programming languages (e.g., Python, Pandas, SQL).

Common day-to-day tasks

• Run weekly, monthly, and quarterly reports for all key stakeholders.
• Create new data reports on request from the various other business units.
• Investigate the efficacy A/B tests run on the site.
• Create and maintain data sandbox reports (and other reports that live on the site).

To apply

If you are hands-on, driven, love a challenge and have a passion for education in Africa with the required skills, send us your application by completing the application form. 

All applications will be screened and we may request that shortlisted candidates complete an assignment to help guide our decision-making prior to the interview stage. 

Siyavula Foundation is an equal opportunity employer and does not discriminate in any employer/employee relations based on race, colour, religion, gender, sexual orientation, gender identity and expression, national origin, age, marital status, disability, veteran status, genetic information or any other basis protected by applicable discrimination laws. Siyavula incorporates ethics as part of annual performance appraisals. Employees must declare prior issues of sexual or other misconduct, termination of past employment, criminal records, and concerns registered with government authorities regarding contact with children, and must consent to the disclosure of any such information by their former employers during verification of references.