About careerzynith
careerzynith is a global leader in financial services and innovative customer experiences. With a heritage of more than a century, we empower millions of consumers, businesses, and partners worldwide to thrive in a rapidly evolving digital economy. Our mission is to deliver first‑class service, foster inclusive cultures, and drive sustainable growth through data‑driven insights. As we expand our footprint across emerging markets, we are looking for passionate professionals who want to shape the future of voice‑of‑customer analytics and help us create meaningful, data‑rich interactions for every stakeholder.
Why This Role Matters
The Senior Data Analytics & Voice‑of‑Customer Engineer will be a cornerstone of our Customer Listening Team, responsible for transforming raw survey data into actionable intelligence that fuels strategic decisions across the organization. This position sits at the intersection of data engineering, analytics, and product collaboration, enabling careerzynith to listen to its customers, understand their needs, and continuously improve the experience we deliver.
Key Responsibilities
- Partner closely with business stakeholders to gather, refine, and translate functional requirements into robust technical solutions.
- Design, develop, and maintain scalable data models that support the Voice‑of‑Customer (VoC) platform, ensuring high‑quality, reliable data pipelines.
- Leverage big‑data technologies such as Hadoop, HDFS, MapReduce, Hive, Spark, and Python to build batch and real‑time analytics solutions.
- Implement and optimize data ingestion workflows from survey tools, integrating them with careerzynith’s central data lake and analytics ecosystem.
- Develop and enforce standardized metric definitions, ensuring consistency across reporting dashboards and executive summaries.
- Collaborate with product owners, agile development teams, and external partners to prioritize feature delivery and drive continuous improvement.
- Conduct rigorous testing, validation, and performance tuning to guarantee data accuracy, integrity, and compliance with regulatory standards.
- Automate repetitive data‑processing tasks using shell scripting, PySpark, and Python to increase operational efficiency.
- Provide mentorship and technical guidance to junior engineers, fostering a culture of learning and knowledge sharing.
- Stay abreast of emerging technologies and industry best practices, recommending innovative approaches to enhance the VoC analytics stack.
Essential Qualifications
- Experience: Minimum 3+ years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark/PySpark programming.
- Programming Skills: Proficiency in Python, Shell scripting, and SQL for data manipulation and pipeline development.
- Data Modeling: Demonstrated ability to design and implement robust data models that support large‑scale analytics.
- Agile Methodology: Familiarity with Scrum or Kanban frameworks, delivering incremental value in fast‑paced environments.
- Analytical Mindset: Strong problem‑solving capabilities, with a focus on translating business questions into technical solutions.
- Communication: Excellent written and verbal communication skills, capable of articulating complex technical concepts to non‑technical audiences.
- Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).
- Background in survey design, customer experience research, or market research analytics.
- Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
- Certifications in big‑data technologies (e.g., Cloudera, Hortonworks) or Agile Project Management.
- Previous work in a multinational, remote‑first organization with distributed teams.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data processing frameworks and the ability to write clean, maintainable code.
- Collaboration: Proven track record of working effectively with cross‑functional teams, including product, engineering, and business analysts.
- Customer‑Centric Focus: Passion for turning raw feedback into strategic insights that improve the customer journey.
- Detail Orientation: Commitment to data quality, thorough testing, and documentation.
- Adaptability: Ability to thrive in a dynamic, fast‑changing environment while managing multiple priorities.
Compensation, Perks & Benefits
careerzynith offers a competitive base salary of $35 per hour, complemented by performance‑based bonuses. Our comprehensive benefits package includes:
- Health, dental, and vision coverage with access to on‑site or virtual medical professionals.
- Retirement savings plans with employer matching contributions.
- Generous paid parental leave and flexible vacation policies.
- Remote‑first work model with options for hybrid or on‑site arrangements based on role and personal preference.
- Access to a global employee assistance program, including confidential counseling and wellness resources.
- Continuous learning opportunities, tuition reimbursement, and internal career development pathways.
- Employee discount programs, wellness stipends, and community‑building events.
Career Growth & Development
At careerzynith, your career trajectory is shaped by your ambition and the support you receive. As a senior engineer, you will have opportunities to:
- Lead cross‑functional projects that influence product strategy and customer experience.
- Mentor emerging talent and build high‑performing data teams.
- Transition into roles such as Data Architecture Lead, Analytics Manager, or Product Owner.
- Participate in global conferences, hackathons, and internal innovation challenges.
- Access a robust learning platform offering courses on advanced analytics, cloud engineering, and leadership.
Work Environment & Culture
careerzynith prides itself on an inclusive, collaborative culture where every voice is heard. Our remote workforce enjoys:
- Regular virtual coffee chats, team‑building activities, and cultural celebrations.
- A transparent communication style that encourages feedback and continuous improvement.
- Commitment to diversity, equity, and inclusion, ensuring a workplace where all employees feel they belong.
- State‑of‑the‑art collaboration tools that enable seamless interaction across time zones.
How to Apply
If you are ready to leverage your data engineering expertise to shape the future of customer insight at a world‑class organization, we want to hear from you. Click the link below to submit your application and join careerzynith’s mission‑driven team.
Apply Now – Become a Voice‑of‑Customer Champion at careerzynith!
Closing Statement
careerzynith is committed to building a workforce that reflects the diversity of the communities we serve. We welcome applicants of all backgrounds and encourage you to bring your unique perspective to our innovative, data‑focused environment. Take the next step in your career and help us listen, learn, and lead together.
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