Analytics Engineer III, Marketing & Product

2U; Cape Town; On-site; ZAR 500,000 - 750,000; Full time

Benefits offered by this job

2 complimentary Getsmarter short courses per year

Subsidised medical aid with Discovery Health Medical Scheme

4% contribution towards Discovery Life Pension Fund

Employee Assistance Program (EAP)

Generous leave policy including time off to volunteer

Job summary

2U is seeking a Senior Analytics Engineer in Cape Town to architect and optimize data pipelines that power product analytics, with an emphasis on e-commerce data. This role involves technical leadership, mentoring junior engineers, and collaborating closely with product and business stakeholders to enhance customer engagement and e-commerce performance.

Ideal candidates should have 5–7+ years of experience in analytics engineering and strong skills in data analysis, SQL, and Python.

Qualifications

• 5–7+ years of experience in analytics engineering or similar fields.
• Advanced understanding of SQL and Python.
• Experience with data pipelines and reporting tools.

Responsibilities

• Architect and optimize data pipelines and models.
• Collaborate with analysts to execute projects.
• Provide technical leadership and mentor junior engineers.

Skills

Data analysis

Data engineering

Business intelligence

SQL

Python

DBT

Version control

Reporting tools

Education

Bachelor's degree in a mathematical or analytical field

Tools

Tableau

Job description

Cape Town, South Africa

At 2U, we are all in on purpose. We are motivated by our mission – to make learning limitless – and connected by our shared passion to deliver world‑class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of higher education offerings – from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives.

Role Overview

This senior analytics engineering role focuses on architecting and optimizing data pipelines and models that power Product Analytics, with an emphasis on eventing with e‑commerce data. The position is responsible for building scalable, reliable data sources that enable advanced analytics, tracking user behaviour, purchase funnels and core e‑commerce metrics to drive data‑driven decisions across product, business and operational functions.

The role partners closely with product and business stakeholders to develop trusted, actionable datasets that enhance visibility into customer engagement, enrollment patterns and e‑commerce performance. It also provides technical leadership and mentorship to junior analytics engineers, influencing data architecture and project direction for business‑critical, medium‑to‑high complexity data ecosystems spanning multiple product lines and functional areas.

Responsibilities

• Technical
  • Cleanse and verify data integrity, enhancing data sources when required.
  • Exhibit best coding practices, adeptness in pipeline builds, and proficiency in transformation tools.
  • Analyse data to deliver data‑driven insights using proven data mining techniques.
  • Visualise data insights, communicate findings, and engage in data engineering tasks to optimise data pipelines and enhance analytical capabilities.
• Business
  • Collaborate with other analysts and stakeholders to execute projects.
  • Leverage business knowledge to enhance business performance.
  • Help guide business when making technical decisions.
• Management
  • Effectively lead and deliver projects, leveraging knowledge, expertise and experience.
  • Support and mentor other analysts.
• Personal
  • Perform research and stay on top of industry trends.
  • Engage proactively to seek opportunities for improvement through ongoing learning.

Qualifications

• 5–7+ years of experience in analytics engineering, data engineering, business intelligence, or similar technical fields.
• Bachelor’s degree is required, with a concentration in a mathematical or analytical field preferred (e.g.: Statistics, Mathematics, Computer Science).
• Skilled in data analysis, data engineering and business intelligence.
• Advanced understanding of SQL, efficiently and effectively applies best coding practices and demonstrates ability to upskill/assist others.
• Advanced understanding of Python, efficiently and effectively applies best coding principles and demonstrates ability to upskill/assist others.
• Advanced understanding of DBT and demonstrates proficiency in building data pipelines while assisting in upskilling/assisting others.
• Skilled understanding of version control; efficiently create pull requests, collaborate, debug/track issues, document and host code.
• Independently develop complex data models.
• Experience with a reporting tool, such as Tableau.

Additional Attributes

• Demonstrate a solid understanding of product telemetry and event data, including supporting the validation and tracking of user journeys for product analytics.
• Manage multiple projects, resolve challenges swiftly, deliver adaptable approaches, and value diverse opinions.
• Take ownership, anticipate new problems, test solutions, and mentor others on effective problem‑solving techniques.
• Set quarterly goals aligned with team objectives, track progress in Workday, and communicate barriers to the manager.
• Demonstrate expert understanding, introduce new tools/methodologies, and provide team training to enhance productivity.
• Tailor messages for audience understanding, engage respectfully in team meetings, synthesize thoughts effectively, present confidently, and actively listen to stakeholders.
• Consistently build and maintain key stakeholder relationships, perceived as a trusted partner, offer sound guidance, and navigate challenging relationships effectively.

Benefits & Culture

We offer comprehensive benefits (unique per country) and excellent work/life balance. Full‑time, ZA benefits include:

• 2 complimentary Getsmarter short courses per year.
• Subsidised medical aid with Discovery Health Medical Scheme.
• 4% 2U contribution towards Discovery Life Pension Fund and Group Risk Benefit.
• Employee Assistance Program (EAP).
• Generous leave policy including time off to volunteer for non‑profit organisation, study leave, sports leave, and a company‑wide festive season break.

Diversity and Inclusion

At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike.

2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: [e-mail].

2U is an equal‑opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal‑opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.

About 2U

2U partners with the world's top universities and companies to develop and deliver education programs that accelerate careers and transform lives. Through partnerships with the world’s leading colleges, universities, and companies, 2U delivers thousands of online programs to millions of learners worldwide on edX, its global learning platform. From executive education and professional credentialing to master’s degree programs and free, open courses, 2U transforms how top institutions deliver workforce‑aligned online education, enabling professionals to advance without pausing their careers. Learn more at 2U.com.

The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed.