About careerzynith
careerzynith is a global leader in financial services and innovative customer experience solutions. With millions of transactions processed each year and a reputation for delivering first‑class service, careerzynith empowers its employees to shape the future of data‑driven decision making. Our culture is built on integrity, collaboration, and a relentless focus on the customer’s voice. Whether you are joining from a bustling city or a quiet home office, you will be part of a diverse, inclusive community that values every perspective and encourages continuous growth.
Why This Role Matters
The Voice‑of‑Customer (VoC) program at careerzynith is the heartbeat of our business strategy. By translating raw survey data into actionable insights, we help product teams, marketing, and senior leadership make informed decisions that improve the customer journey. As a Senior Data Analytics & Voice‑of‑Customer Architect, you will be the technical catalyst that turns complex data streams into reliable, real‑time analytics, ensuring that the voice of every consumer is heard, understood, and acted upon.
Key Responsibilities
- Collaborate with business stakeholders to gather, refine, and prioritize data requirements for VoC initiatives across multiple product lines.
- Design, develop, and maintain scalable data models that support both batch and real‑time analytics on large‑volume platforms such as Hadoop, HDFS, Hive, and Spark.
- Lead the end‑to‑end implementation of data pipelines using Python, PySpark, and Shell scripting, ensuring data quality, consistency, and security.
- Partner with product owners, engineering teams, and the agile delivery squad to translate functional needs into technical specifications and deliver incremental value every sprint.
- Build and optimize robust reporting frameworks that enable self‑service analytics for business users, reducing reliance on ad‑hoc queries.
- Conduct rigorous testing, validation, and performance tuning to guarantee that analytical outputs meet the highest standards of accuracy and reliability.
- Mentor junior data engineers and analysts, fostering a culture of knowledge sharing and continuous improvement.
- Stay abreast of emerging technologies and industry best practices, recommending enhancements that keep careerzynith at the forefront of data innovation.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and modern big‑data processing frameworks (Spark, PySpark).
- Proficiency in Python programming and shell scripting for data extraction, transformation, and loading (ETL) tasks.
- Demonstrated ability to design and implement data models that support both transactional and analytical workloads.
- Strong understanding of agile methodologies, with experience delivering incremental product features in a fast‑paced environment.
- Excellent communication skills, capable of translating technical concepts into clear business language for non‑technical stakeholders.
- Track record of collaborating with cross‑functional teams to drive data‑centric solutions that impact customer experience.
Preferred Qualifications
- Experience with survey platforms and VoC tools (e.g., careerzynith’s own survey suite) and familiarity with integrating survey data into enterprise data warehouses.
- Background in statistical analysis, predictive modeling, or machine‑learning techniques applied to customer sentiment data.
- Certification in cloud platforms (AWS, Azure, or Google Cloud) and exposure to cloud‑based data lake architectures.
- Prior involvement in large‑scale data migration or modernization projects.
- Knowledge of data governance, privacy regulations, and security best practices.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data technologies, data modeling, and programming languages required for high‑performance analytics.
- Analytical Mindset: Ability to dissect complex datasets, identify patterns, and generate insights that drive business outcomes.
- Collaboration: Proven teamwork skills, with a focus on building strong relationships across product, engineering, and business units.
- Problem‑Solving: Proactive approach to identifying bottlenecks, proposing solutions, and implementing improvements.
- Adaptability: Comfort working in a remote, hybrid, or on‑site setting, adjusting to evolving priorities and timelines.
- Leadership: Experience guiding junior talent, fostering a learning environment, and championing best practices.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a senior architect, you will have access to:
- Mentorship programs with senior leaders in data science and analytics.
- Sponsored certifications and training courses on cloud platforms, advanced analytics, and leadership.
- Opportunities to lead high‑visibility projects that influence global product strategy.
- Cross‑functional rotations that broaden your expertise across finance, marketing, and technology domains.
- Participation in internal hackathons and innovation labs where you can prototype new ideas.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package designed to attract and retain top talent:
- Base Salary: $35 per hour, with performance‑based bonuses.
- Health & Wellness: Comprehensive medical, dental, and vision plans; on‑site wellness centers (where available) staffed by nurses and physicians.
- Retirement Savings: 401(k) matching contributions and financial planning resources.
- Flexible Work Arrangements: Remote, hybrid, or on‑site options tailored to the role and employee preference.
- Parental Leave: Generous paid parental leave policies that support new parents.
- Employee Assistance Program: Confidential counseling services through the careerzynith Minds app.
- Learning Stipends: Annual budget for courses, conferences, and certifications.
- Paid Time Off: Vacation, sick leave, and holidays that promote work‑life balance.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Integrity, Inclusion, and Innovation. You will join a team that:
- Values diverse perspectives and encourages open dialogue.
- Celebrates achievements, both big and small, through regular recognition programs.
- Operates with transparency, ensuring every employee understands how their work contributes to the broader mission.
- Provides a supportive environment where mental, physical, and financial well‑being are prioritized.
- Embraces technology as an enabler, offering state‑of‑the‑art tools and platforms to accelerate your work.
How to Apply
If you are passionate about turning raw data into meaningful stories, thrive in a collaborative remote setting, and want to make a tangible impact on the customer experience at a world‑class 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.