2. Analytics & Report Verification
Test the business logic and mathematical correctness of aggregations, KPIs, and predictive metrics.
Ensure that user-facing charts, graphs, and dashboards accurately reflect the underlying data.
Conduct regression testing on analytics algorithms and reporting features to prevent data drift.
3. Test Automation & Infrastructure - Experience Advantageous
Design, build, and maintain automated testing frameworks for both APIs and UI dashboards.
Implement automated data quality checks within the CI/CD pipeline.
Mock large-scale datasets to simulate edge cases, high volume, and anomalous data.
4. Performance & Scalability Testing - Experience Advantageous
Evaluate how the analytics platform handles heavy concurrent user loads and massive data processing spikes.
Monitor query performance and report latency bottlenecks to the engineering team.
5. Collaboration & Agile Processes
Partner closely with Product Owners, Data Engineers, and Report Developers to understand complex tracking requirements and data models.
Participate in sprint planning, refinement, and retrospectives to advocate for quality and testability early in the development lifecycle.
Basic Requirements
Required Technical Skills & Qualifications
Experience: 3+ years of experience as a QA Engineer, ideally within a data-intensive, BI, or analytics product environment.
Database Proficiency: SQL skills (joins, window functions, subqueries) for deep-dive data verification.
Automation Skills: Hands-on experience with automation tools (e.g., Selenium, Cypress, Playwright) and backend/API testing tools (e.g., Postman, RestAssured).
Programming (Advantageous): Proficiency in at least one scripting language (preferably Python or JavaScript) for data manipulation and test automation.
Data Technologies: Familiarity with data warehousing concepts and tools (e.g., Synapse, Databricks, Snowflake, BigQuery, Redshift) and ETL pipelines.
Methodology: Strong understanding of Agile/Scrum development cycles and CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
AI: AI use is encouraged and actively used to transform our technology stack.
Soft Skills & Cultural Fit
The "Data Mindset": An obsessive attention to detail—you spot a misplaced decimal point or an omitted data row from a mile away.
Analytical Thinker: Ability to understand complex business logic and translate it into edge-case test scenarios.
Strong Communicator: Ability to clearly explain technical data discrepancies to both developers and non-technical stakeholders.
In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way. Also, to reward your hard work, you’ll get:
PTO 20 Days
Life Cover - Life, dread disease, salary protection - this is covered in full by RD and not out of CTC.
Fully Remote (within South Africa) - we will set you up to work from home with a laptop and necessary accessories.
- Company
- Motorola Solutions South Africa (Proprietary) Limited
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.
