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Senior Data Entry & Voice‑of‑Customer Analyst – Live Chat Remote – $35 /hr – 2024 – Burkina Faso – careerzynith

Work from home Full-time role Hiring
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About careerzynith – Pioneering Customer Insight and Innovation

careerzynith is a global leader in financial services and digital solutions, dedicated to delivering world‑class experiences to millions of consumers, businesses, and partners every day. Our mission is to empower people through innovative technology, data‑driven insights, and a culture that celebrates diversity, inclusion, and continuous learning. With a presence in more than 20 countries and a commitment to ethical conduct, arenaxflex (formerly known as American Express) has built a reputation for excellence, integrity, and relentless focus on the customer voice.

Why This Role Matters

In today’s hyper‑connected world, the voice of the customer (VoC) is the most valuable asset a company can have. careerzynith’s Customer Listening Team processes over 5 million surveys annually, spanning consumer, business, and service‑provider segments. As a Senior Data Entry & Voice‑of‑Customer Analyst, you will be at the heart of this ecosystem, transforming raw survey data into actionable insights that shape product strategy, improve service delivery, and drive business growth.

Key Responsibilities

  • Collaborate with cross‑functional teams: Work closely with product owners, data engineers, and agile technology squads to capture and translate business requirements into technical specifications.
  • Data ingestion and transformation: Design, develop, and maintain robust data pipelines that ingest VoC data from the careerzynith Survey Platform into the enterprise data lake.
  • Model architecture: Build scalable data models and schema designs that support high‑performance analytics, reporting, and machine‑learning workloads.
  • Big‑data processing: Leverage Hadoop, HDFS, MapReduce, Hive, Spark, and Python to enable batch and real‑time analytics, ensuring data quality, accuracy, and timeliness.
  • Performance optimization: Identify bottlenecks, refactor code, and implement best practices to improve processing efficiency across large‑scale data ecosystems.
  • Automation & tooling: Develop and maintain automation scripts (Shell, Python, PySpark) for data validation, cleansing, and workflow orchestration.
  • Quality assurance: Conduct rigorous testing, including unit, integration, and performance tests, to guarantee data integrity for downstream consumers.
  • Insight delivery: Produce clear, concise dashboards and visualizations that translate complex data into business‑ready insights for stakeholders across careerzynith.
  • Continuous improvement: Proactively identify opportunities to streamline processes, reduce manual effort, and enhance the overall VoC analytics capability.
  • Agile participation: Contribute to sprint planning, daily stand‑ups, retrospectives, and backlog grooming, adhering to Scrum or Kanban methodologies.

Essential Qualifications

  • Minimum 3 + years of hands‑on experience with Hadoop ecosystem technologies (Hive, Spark, HDFS) and Python/PySpark programming.
  • Proven track record of designing and implementing data models for large‑scale analytics platforms.
  • Strong understanding of ETL processes, data warehousing concepts, and data‑quality frameworks.
  • Experience working in an Agile environment, delivering incremental value in short iterations.
  • Excellent communication skills, with the ability to translate technical concepts for non‑technical audiences.
  • Demonstrated ability to collaborate effectively with product managers, data scientists, and engineering teams.
  • Fluency in English (written and spoken); proficiency in French is a plus given the Burkina Faso location.

Preferred Qualifications & Additional Skills

  • Advanced degree in Computer Science, Data Engineering, Statistics, or a related field.
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with survey tools and platforms, especially those similar to Qualtrics, and the ability to integrate their APIs.
  • Knowledge of machine‑learning pipelines and the ability to support data scientists in model training and deployment.
  • Certification in Agile (Scrum Master, Product Owner) or Big‑Data (Cloudera, Hortonworks) technologies.
  • Strong problem‑solving mindset with a passion for data integrity and continuous improvement.

Core Competencies for Success

  • Analytical mindset: Ability to dissect complex datasets, spot trends, and derive meaningful business recommendations.
  • Collaboration: Team‑player who thrives in a multicultural, remote‑first environment and values diverse perspectives.
  • Adaptability: Comfortable navigating fast‑changing priorities and evolving technology stacks.
  • Attention to detail: Commitment to delivering error‑free data and documentation.
  • Customer‑centric focus: Deep appreciation for the impact of VoC insights on the end‑user experience.

Career Growth & Learning Opportunities

careerzynith invests heavily in employee development. As a senior analyst, you will have access to:

  • Mentorship programs with senior data architects and industry experts.
  • Annual learning stipend for certifications, conferences, or online courses.
  • Opportunities to lead cross‑functional projects and influence strategic decisions.
  • Pathways to transition into data‑science, product‑management, or architecture leadership roles.

Work Environment & Culture

Our remote‑first policy empowers you to work from anywhere in Burkina Faso while staying connected to a vibrant global community. careerzynith fosters an inclusive culture where every voice is heard, and every employee feels a sense of belonging. We celebrate diversity through regular cultural events, employee resource groups, and a supportive leadership team that champions work‑life balance.

Compensation, Perks & Benefits

  • Competitive base salary: $35 per hour, commensurate with experience.
  • Performance bonuses: Quarterly incentive programs tied to individual and team outcomes.
  • Comprehensive health coverage: Medical, dental, and vision plans with access to virtual health services.
  • Retirement savings: Employer‑matched 401(k) or equivalent local retirement plans.
  • Flexible work arrangements: Hybrid, fully remote, or on‑site options based on role and personal preference.
  • Generous paid parental leave: Extended time off for new parents, tailored to local regulations.
  • Well‑being resources: Access to mental‑health counseling, wellness apps, and on‑site health clinics where available.
  • Professional development: Tuition reimbursement, internal training labs, and a library of technical resources.
  • Employee assistance program: Confidential support for personal and professional challenges.

How to Apply

If you are passionate about turning raw customer feedback into strategic advantage, thrive in a data‑intensive environment, and want to grow your career with a forward‑thinking organization, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith.

Join careerzynith – Shape the Future of Customer Experience

At careerzynith, your work will directly influence how millions of people interact with financial services worldwide. By joining our Voice‑of‑Customer team, you become part of a mission‑driven community that values integrity, innovation, and the power of data. Take the next step in your career and help us deliver the first‑class customer experience that our members deserve.

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