Jobs at eRecruiter Nigeria

• We're looking for a QA Software Engineer who is passionate about quality and automation. Your role will be to ensure that every release is stable, secure, and user-friendly. You'll work closely with software engineers and product managers to define test strategies, write automated tests, and identify bugs before they reach our users. If you have a sharp eye for detail and enjoy thinking through every possible scenario, this role is made for you.

Key Responsibilities

Testing & Quality Assurance

• Develop and execute comprehensive test plans for new features, enhancements, and bug fixes
• Perform manual and automated testing across web and mobile platforms
• Identify, document, and track bugs and inconsistencies

Automation & Process Improvement

• Write and maintain automated test scripts for critical user flows
• Suggest improvements to QA processes and tools to ensure faster, more reliable testing

Collaboration & Communication

• Collaborate with developers during sprint planning and code reviews to ensure test coverage
• Work closely with the Product team to clarify requirements and edge cases
• Communicate testing outcomes and risks clearly and promptly

Performance & Regression Testing

• Conduct performance, stress, and regression testing for major releases
• Ensure backwards compatibility and consistent performance across updates

Product Knowledge & Customer Experience

• Understand the customer journey and anticipate common issues
• Test with empathy to simulate real-world usage and user behavior

Key Success Metrics:

• Your performance will be measured by:
• Bug Detection Rate – Percentage of critical issues caught before production
• Test Coverage – Breadth of manual and automated test scenarios
• Release Quality – Reduction in post-release bugs and customer-reported issues
• Deployment Velocity – Impact of QA on faster, safer releases

Qualifications & Experience

• 3+ years of experience in QA Engineering, preferably in a fast-paced tech environment
• Strong experience with automated testing tools and frameworks- especially playwright and pytest
• Familiarity with API testing, mobile testing, and cross-browser compatibility
• Ability to write clear bug reports and detailed documentation
• Experience with CI/CD pipelines and release management practices
• Experience with frontend frameworks like Vue.js and Django/Python.
• Strong attention to detail, analytical skills, and a user-first mindset

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Role Overview:

• The Customer Experience & Data Analyst will be responsible for dissecting the customer journey, identifying bottlenecks and opportunities, and turning data into actionable insights that enhance our overall experience.
• The Ideal candidate will collaborate with teams across marketing, product, and support to design experiments, track results, and improve how we onboard, engage, and retain our customers.

Key Responsibilities:

Customer Journey Mapping

• Map the end-to-end customer experience across all touchpoints—from acquisition to onboarding to retention. Identify points of friction and propose clear solutions.

Data Analysis & Reporting

• Dive into customer data to uncover trends and behaviours that affect engagement, retention, and churn. Build and maintain dashboards and reports that inform decisions across the company.

Campaign & Experiment Design

• Design experiments and engagement campaigns (educational content, incentives, onboarding flows) to test hypotheses about how we can improve customer experience. Collaborate with relevant teams to implement them.

Collaboration & Communication

• Work cross-functionally with Product, Marketing, and Customer Support to translate insights into improvements. Communicate findings in a clear, non-technical way to enable action.

Insight-Driven Improvements

• Translate raw data into clear insights that lead to product and process improvements. You will be the voice of the customer—backed by data.

Key Success Metrics:

Your performance will be measured by:

• Customer Engagement – Increase in product adoption metrics (e.g., call volume, repeat usage).
• Onboarding Efficiency – Decrease in time-to-value and drop-off rates.
• Retention Rate – Measurable improvement in customer retention and reduced churn.
• Experiment Success – Number of experiments run and positive impact from resulting changes.
• Insight-to-Action Ratio – Frequency and quality of insights leading to implemented improvements.

Requirements:

• 3+ years of experience in data analysis, business intelligence, or customer experience roles.
• Proficiency in data analysis tools (e.g., Excel, SQL, Python, or Tableau).
• Strong analytical and critical thinking skills—you connect the dots fast.
• Experience creating and presenting reports to cross-functional teams.
• Passion for improving customer experience and understanding customer psychology.
• Excellent communication skills—you can simplify complex data for any audience.