About careerzynith
careerzynith is a global leader in financial services and innovative customer experience solutions. With a heritage of more than a century, we have built a reputation for delivering first‑class experiences to millions of consumers, businesses, and service providers worldwide. Our culture is rooted in integrity, collaboration, and a relentless focus on the customer’s voice. At careerzynith, every employee is empowered to shape the future of the industry, contribute to meaningful change, and grow both personally and professionally.
Why This Role Matters
The Senior Data Analytics & Voice‑of‑Customer Engineer is a pivotal position that drives the transformation of how careerzynith captures, processes, and acts on customer feedback. By leveraging cutting‑edge data platforms and advanced analytics, you will help turn raw survey data into actionable insights that shape product strategy, improve service delivery, and enhance overall customer satisfaction. This role sits at the intersection of data engineering, analytics, and product development, offering a unique opportunity to influence the strategic direction of careerzynith’s Voice‑of‑Customer (VoC) initiatives.
Key Responsibilities
- Collaborate with cross‑functional teams—including product owners, data scientists, Qualtrics specialists, and agile technology squads—to translate business requirements into robust technical solutions.
- Design, develop, and maintain scalable data pipelines that ingest, cleanse, and enrich VoC data from multiple sources, including surveys, chat transcripts, and social media feeds.
- Build and optimize data models on the Cornerstone data platform, ensuring high‑performance analytics and reliable metric definitions.
- Implement real‑time and batch analytics solutions using Hadoop, HDFS, MapReduce, Hive, Spark, and Python to deliver timely insights to business stakeholders.
- Develop automated testing frameworks and validation processes to guarantee data accuracy, consistency, and compliance with internal governance standards.
- Provide technical mentorship and guidance to junior engineers, fostering a culture of continuous learning and best‑practice adoption.
- Drive process improvements by identifying bottlenecks, recommending automation opportunities, and implementing efficient data‑processing workflows.
- Participate in agile ceremonies—sprint planning, daily stand‑ups, retrospectives—to ensure rapid delivery of incremental value.
- Document architecture decisions, data lineage, and operational procedures to support knowledge sharing across the organization.
- Stay abreast of emerging technologies and industry trends, evaluating their potential impact on careerzynith’s VoC strategy.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with big‑data technologies such as Hive, Hadoop, Spark, and Python.
- Proficiency in scripting languages (e.g., Bash, PowerShell) and experience with data‑pipeline orchestration tools (e.g., Airflow, Luigi).
- Demonstrated ability to design and implement data models that support complex analytical workloads.
- Strong understanding of agile development methodologies and experience working in Scrum or Kanban environments.
- Excellent problem‑solving skills with a track record of delivering high‑quality, production‑ready solutions.
- Effective communication skills—able to articulate technical concepts to non‑technical stakeholders and collaborate across diverse teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Preferred Qualifications
- Experience with Qualtrics or other survey platforms and familiarity with VoC data structures.
- Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Certifications in data engineering, big‑data analytics, or agile project management.
- Prior exposure to financial services or fintech environments, especially within a global organization.
- Demonstrated leadership in driving data‑driven culture and influencing product roadmaps.
Core Skills & Competencies
- Technical Acumen: Mastery of Hadoop ecosystem tools, Spark programming, and Python for data manipulation.
- Analytical Mindset: Ability to translate raw data into meaningful business insights and recommendations.
- Collaboration: Strong teamwork orientation, comfortable partnering with product, design, and business analysts.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new technologies and processes.
- Attention to Detail: Commitment to data integrity, rigorous testing, and documentation standards.
- Customer‑Centric Focus: Passion for understanding and amplifying the voice of the customer.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Analytics & Voice‑of‑Customer Engineer, you will have access to:
- Structured mentorship programs and leadership coaching.
- Tuition reimbursement for relevant certifications and advanced degrees.
- Internal training labs covering emerging technologies such as machine learning, AI‑driven analytics, and cloud-native architectures.
- Opportunities to lead high‑visibility projects that directly influence global product strategy.
- Rotational assignments across different business units to broaden your expertise.
Work Environment & Culture at careerzynith
Our remote‑first philosophy empowers you to work from anywhere while staying connected to a vibrant, inclusive community. careerzynith fosters a culture where:
- Every voice is heard, respected, and valued.
- Collaboration is encouraged through virtual coffee chats, cross‑team hackathons, and regular town‑hall meetings.
- Diversity, equity, and inclusion are not just buzzwords but core pillars of our daily operations.
- Well‑being is prioritized with flexible schedules, mental‑health resources, and comprehensive wellness programs.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects your expertise and the impact you will make:
- Base Salary: $35 per hour, with performance‑based bonuses.
- Health & Wellness: Comprehensive medical, dental, and vision coverage; access to global tele‑health services staffed by physicians and nurses.
- Retirement Planning: 401(k) matching contributions and pension options.
- Paid Time Off: Generous vacation, parental leave, and sick days.
- Flexible Work Model: Choose between fully remote, hybrid, or occasional on‑site collaboration based on project needs.
- Learning Stipends: Annual budget for courses, conferences, and certifications.
- Employee Assistance Programs: Confidential counseling, financial advice, and wellness apps.
- Community Engagement: Volunteer days, charitable matching, and internal employee resource groups.
How to Apply
If you are passionate about turning customer feedback into strategic advantage, thrive in a data‑rich environment, and want to grow your career with a forward‑thinking global leader, we want to hear from you. Submit your application today and become a catalyst for change at careerzynith.