About careerzynith
careerzynith is a global leader in financial services and digital commerce, dedicated to delivering a world‑class experience to millions of consumers, merchants, and partners every day. Our mission is to empower people and businesses through innovative technology, data‑driven insights, and a culture built on integrity, inclusion, and collaboration. From bustling city centers to remote workspaces, careerzynith’s footprint spans continents, and we are constantly expanding our talent pool to include diverse voices that shape the future of finance.
As part of our ongoing commitment to excellence, careerzynith is seeking a highly skilled Senior Data Analytics & Voice‑of‑Customer Engineer to join our Remote Live‑Chat team. This role will be based in the Democratic Republic of the Congo and offers a competitive hourly rate of $35, with a clear path for professional growth and a supportive, inclusive work environment.
Why This Role Matters
The Voice‑of‑Customer (VoC) program at careerzynith is the heartbeat of our customer‑centric strategy. Each day, more than five million surveys flow through our platforms, capturing feedback from consumers, businesses, and service providers across more than 20 countries and in over ten languages. The insights derived from these surveys drive product innovation, operational improvements, and strategic decisions that affect millions of lives.
As a Senior Data Analytics & Voice‑of‑Customer Engineer, you will be at the nexus of data engineering, analytics, and product development. You will translate raw survey data into actionable intelligence, design robust data models, and collaborate with cross‑functional teams to ensure that every customer voice is heard, understood, and acted upon.
Key Responsibilities
- Collaborate with Business Stakeholders: Work closely with product owners, data scientists, and the Agile technology team to gather, refine, and prioritize business requirements for VoC initiatives.
- Data Modeling & Architecture: Design, develop, and maintain scalable data models on the careerzynith data platform, ensuring high‑quality, reliable, and performant data pipelines.
- Big Data Processing: Leverage Hadoop, HDFS, MapReduce, Hive, Spark, and Python (including PySpark) to process large‑volume survey data, delivering both batch and real‑time analytics solutions.
- Metric Definition & Standardization: Establish clear, standardized metric definitions and data quality checks to support consistent reporting across the organization.
- Automation & Tooling: Build and maintain automation scripts (Shell, Python) for data ingestion, transformation, and validation, reducing manual effort and increasing reliability.
- Performance Optimization: Identify bottlenecks, implement performance tuning, and ensure data pipelines meet latency and throughput requirements.
- Testing & Validation: Conduct rigorous unit, integration, and end‑to‑end testing to guarantee data accuracy and integrity across all use cases.
- Documentation & Knowledge Sharing: Produce comprehensive documentation, best‑practice guides, and training materials for internal teams and future hires.
- Continuous Improvement: Proactively propose enhancements to existing processes, tools, and architectures to drive efficiency and innovation.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with Hive/Hadoop, PySpark, Python, and Shell scripting in a production environment.
- Proven track record of designing and implementing large‑scale data pipelines and data models.
- Strong understanding of Agile delivery methodologies, with experience working in Scrum or Kanban teams.
- Demonstrated ability to translate business requirements into technical specifications and deliver high‑quality solutions.
- Excellent communication skills, both written and verbal, with the ability to influence stakeholders at all levels.
- Fluency in English; proficiency in French or local languages is a plus.
Preferred Qualifications
- Experience with survey platforms (e.g., careerzynith’s internal survey solution) and VoC analytics.
- Familiarity with cloud environments such as AWS, Azure, or Google Cloud Platform.
- Knowledge of data visualization tools (Tableau, Power BI, Looker) for presenting insights to non‑technical audiences.
- Certification in data engineering or big data technologies (e.g., Cloudera, Hortonworks).
- Background in financial services or fintech, providing context for customer‑centric data initiatives.
Core Skills & Competencies
- Technical Proficiency: Mastery of Hadoop ecosystem components, Spark, Python, and SQL.
- Analytical Mindset: Ability to dissect complex datasets, identify trends, and generate actionable recommendations.
- Collaboration: Strong team player who thrives in cross‑functional environments and values diverse perspectives.
- Problem‑Solving: Creative thinker who can troubleshoot data issues, design elegant solutions, and iterate quickly.
- Adaptability: Comfortable working in a fast‑paced, remote setting with shifting priorities.
- Integrity & Ownership: Commitment to delivering high‑quality work, meeting deadlines, and taking responsibility for outcomes.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:
- Mentorship from senior data architects and product leaders.
- Sponsored certifications and training programs in big data, cloud, and analytics.
- Opportunities to lead high‑impact projects that influence global product strategy.
- Cross‑departmental rotations to broaden your skill set and network.
- Regular knowledge‑sharing sessions, hackathons, and innovation challenges.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Inclusion, Innovation, and Impact. We celebrate diverse backgrounds, encourage curiosity, and empower every employee to make a difference.
- Inclusive Community: A supportive environment where every voice is valued, and collaboration is the norm.
- Flexible Work Arrangements: Choose the remote, hybrid, or onsite model that best fits your lifestyle and project needs.
- Well‑Being Programs: Access to global health resources, mental‑health counseling, and wellness apps.
- Employee Resource Groups: Join networks focused on professional growth, cultural celebration, and community outreach.
- Recognition & Rewards: Regular performance bonuses, peer‑to‑peer recognition, and career‑advancement pathways.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects your expertise and the value you bring to the organization.
- Hourly Rate: $35 per hour, payable bi‑weekly.
- Performance Bonuses: Quarterly incentive programs tied to individual and team achievements.
- Retirement Savings: Employer‑matched contributions to a retirement plan.
- Health & Wellness: Comprehensive medical, dental, and vision coverage; access to virtual health clinics staffed by doctors and nurses.
- Parental Leave: Generous paid parental leave policies, varying by location.
- Learning Stipends: Annual budget for courses, conferences, and certifications.
- Technology Allowance: Home office setup stipend and equipment provisioning.
- Paid Time Off: Flexible vacation policy to recharge and maintain work‑life balance.
How to Apply
If you are passionate about turning raw data into meaningful stories, thrive in a collaborative remote environment, and want to contribute to a global leader that puts customers at the heart of everything, we want to hear from you. Join careerzynith and help shape the future of financial services while advancing your own career.
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