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

About careerzynith – Pioneering Customer Insight and Innovation

careerzynith is a global leader in delivering world‑class financial services and cutting‑edge data solutions. With a heritage of more than a century, we have built a reputation for putting the customer at the heart of everything we do. Our mission is to transform raw data into actionable insight, empowering businesses and consumers alike to make smarter decisions. As part of our continued expansion, careerzynith is looking for passionate, detail‑oriented professionals to join our Voice‑of‑Customer (VoC) team, where every interaction helps shape the future of the industry.

Why This Role Matters

The Senior Data Entry & Voice‑of‑Customer Analyst plays a critical role in the end‑to‑end lifecycle of customer feedback. You will be the bridge between raw survey data and strategic business decisions, ensuring that every voice is captured, analyzed, and turned into measurable impact. This position sits at the intersection of data engineering, analytics, and product development, offering a unique opportunity to influence both technology and business strategy.

Key Responsibilities

• Collaborate with cross‑functional teams – Work closely with product owners, data scientists, and engineering squads to translate business needs into technical specifications.
• Design and maintain data pipelines – Build robust ETL processes that ingest, cleanse, and store VoC data from multiple sources, including surveys, live chat transcripts, and social listening feeds.
• Develop data models – Create scalable data models that support both batch and real‑time analytics, ensuring consistency across the enterprise data lake.
• Implement advanced analytics – Leverage Hadoop, Spark, Hive, PySpark, and Python to generate insights, predictive scores, and trend analyses for internal stakeholders.
• Automate reporting – Design dashboards and automated reports that surface key performance indicators (KPIs) such as Net Promoter Score (NPS), sentiment trends, and issue resolution times.
• Quality assurance and testing – Conduct rigorous data validation, performance testing, and anomaly detection to guarantee data integrity and reliability.
• Drive process improvements – Identify bottlenecks in data collection and processing, proposing automation and optimization strategies to increase efficiency.
• Mentor junior team members – Share expertise in big‑data technologies and agile delivery practices, fostering a culture of continuous learning.
• Support compliance and governance – Ensure all data handling complies with global privacy regulations (GDPR, CCPA) and internal security standards.

Essential Qualifications

• Minimum 3 years of hands‑on experience with Hadoop ecosystem tools (HDFS, Hive, MapReduce, Spark).
• Proficiency in Python and PySpark for data transformation and analytics.
• Strong command of Shell scripting for automation of data workflows.
• Demonstrated experience designing and implementing data models for large‑scale analytics platforms.
• Solid understanding of agile methodologies, including Scrum and Kanban, with a track record of delivering incremental value.
• Excellent communication skills, capable of translating complex technical concepts into clear business language.
• Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (or equivalent practical experience).

Preferred Qualifications

• Experience with Qualtrics‑style survey platforms (replaced with careerzynith) and integration of survey data into data warehouses.
• Familiarity with real‑time streaming technologies such as Kafka or Flink.
• Knowledge of statistical analysis tools (R, SAS) and machine‑learning libraries (scikit‑learn, TensorFlow).
• Previous work in a customer‑experience or Voice‑of‑Customer environment.
• Certifications in cloud platforms (AWS, Azure, GCP) or big‑data technologies.

Core Skills & Competencies

• Analytical mindset – Ability to dissect large data sets, spot patterns, and draw actionable conclusions.
• Problem‑solving – Proactive approach to troubleshooting data pipelines and resolving performance issues.
• Collaboration – Comfortable working in a matrixed organization, building strong relationships with product, engineering, and business teams.
• Attention to detail – Commitment to data accuracy, consistency, and documentation.
• Adaptability – Thrive in a fast‑changing environment, quickly learning new tools and technologies.
• Customer‑centric focus – Passion for turning customer feedback into tangible improvements.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its employees. In this role, you will have access to:

• Structured mentorship programs with senior data architects and analytics leaders.
• Annual learning budget for certifications, conferences, and online courses.
• Opportunities to lead cross‑functional projects that influence product roadmaps and strategic initiatives.
• Pathways to senior technical roles such as Lead Data Engineer, Analytics Manager, or Director of Customer Insight.
• Exposure to global teams, giving you a broad perspective on how data drives decisions across markets.

Work Environment & Culture at careerzynith

Our culture is built on three pillars: integrity, inclusion, and innovation. We believe that a diverse workforce fuels creativity, and we strive to create an environment where every voice is heard and valued. Whether you work from a modern office, a co‑working space, or the comfort of your home, you will be part of a collaborative community that celebrates achievements and supports personal well‑being.

• Flexible work arrangements – Choose between fully remote, hybrid, or on‑site schedules based on your role and personal preferences.
• Inclusive community – Employee resource groups, cultural celebrations, and mentorship circles foster belonging.
• Health & wellness – Comprehensive medical, dental, and vision plans, plus access to virtual health services staffed by qualified professionals.
• Generous paid parental leave – Support for new parents, with policies that vary by location but exceed industry standards.
• Competitive compensation – Base salary of $35 per hour, performance‑based bonuses, and equity participation options.
• Retirement planning – 401(k) matching (or equivalent) and financial wellness resources.
• Employee assistance programs – Confidential counseling and mental‑health support through our dedicated platform.

Compensation, Perks & Benefits

careerzynith offers a total rewards package designed to attract and retain top talent:

• Base hourly rate of $35, with regular salary reviews.
• Annual performance bonuses tied to individual and company goals.
• Equity grants that align your success with the company’s growth.
• Comprehensive health, dental, and vision coverage for you and eligible dependents.
• Flexible spending accounts (FSA) and health savings accounts (HSA).
• Generous paid time off (PTO) and holiday calendar.
• Professional development stipend and tuition reimbursement.
• Access to a global wellness portal, including virtual fitness classes and nutrition coaching.
• Employee discount programs for travel, entertainment, and technology.

How to Apply

If you are ready to turn data into meaningful stories and help shape the future of customer experience at careerzynith, we want to hear from you. Click the link below to submit your application, and be prepared to showcase your technical expertise, collaborative spirit, and passion for delivering exceptional results.

Apply Now – Join careerzynith

Closing Thoughts

At careerzynith, every employee is empowered to make a difference. By joining our Voice‑of‑Customer team, you will not only advance your career but also contribute to a mission that puts people first. We look forward to welcoming a motivated, data‑driven professional who shares our commitment to excellence, integrity, and continuous improvement.