Remote Live Chat Data Entry Specialist – Big Data Analytics & Customer Insight – $35/hr – careerzynith

About careerzynith – Pioneering the Future of Financial Services

careerzynith is a global leader in financial services, renowned for its innovative approach to delivering seamless, secure, and customer‑centric solutions. With a heritage of more than a century, careerzynith has continually evolved, embracing cutting‑edge technologies such as Hadoop, Spark, and advanced Python‑based analytics to transform raw data into actionable insights. Our mission is to empower every customer, partner, and employee to thrive in a rapidly changing digital economy. As part of our commitment to flexibility, diversity, and continuous learning, we offer fully remote opportunities that let top talent work from anywhere in the United States while contributing to high‑impact projects that shape the future of finance.

Position Overview – Remote Live Chat Data Entry Specialist

careerzynith is seeking a detail‑oriented, tech‑savvy Live Chat Data Entry Specialist to join our dynamic Data & Analytics team. In this role, you will collaborate closely with utility teams, product owners, and data engineers to capture, cleanse, and enrich customer‑voice data that fuels our enterprise‑wide analytics platform. You will be instrumental in designing robust data models, automating data pipelines, and ensuring the highest standards of data quality and accuracy. This is a remote, full‑time position offering a competitive hourly rate of $35, flexible scheduling, and a clear pathway for professional growth within careerzynith.

Key Responsibilities

• Partner with cross‑functional utility teams to gather, document, and translate business requirements into precise data entry specifications.
• Collect, curate, and transform Voice of the Customer (VOC) data streams, ensuring they are accurately represented in the core data lake.
• Design and construct resilient data models that support efficient statistical processing and standardized metric definitions across the organization.
• Leverage big‑data technologies (Hadoop, HDFS, MapReduce, Hive, Spark, PySpark, Python) to develop batch and real‑time analytical solutions that meet stringent data‑quality standards.
• Implement rigorous testing frameworks to validate data integrity at multiple stages of the data lifecycle.
• Provide actionable recommendations to optimize data‑processing workflows, driving efficiency across the massive data ecosystem.
• Develop, test, and maintain automation scripts (Shell, Python) that streamline repetitive data entry and validation tasks.
• Collaborate with product managers and product owners to translate functional requirements into technical deliverables, ensuring alignment with agile delivery cycles.
• Proactively identify opportunities for automation, reducing manual effort and enhancing overall data reliability.
• Work closely with the GSN and AET teams to prioritize, define, and monitor data requirements for a variety of use cases within the VOC “Stop‑Loss” strategy.
• Maintain comprehensive documentation of data pipelines, transformation logic, and quality assurance procedures.

Essential Qualifications

• Minimum of 3 years of hands‑on experience with Hive/Hadoop, PySpark, Python, and shell scripting in a data‑engineering or data‑entry capacity.
• Demonstrated ability to collaborate with product managers and business stakeholders to capture functional requirements and convert them into technical specifications.
• Strong understanding of agile methodologies, with experience delivering incremental product improvements on a daily or weekly cadence.
• Proven track record of delivering high‑quality data solutions in fast‑paced, remote environments.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non‑technical audiences.
• Exceptional typing speed (minimum 70 WPM) and accuracy, ensuring rapid and error‑free data entry.
• Ability to multitask, prioritize, and manage competing deadlines while maintaining a focus on detail.
• Flexibility to work varied shifts, including evenings or weekends, to support global business needs.

Preferred Qualifications

• Prior experience in a customer‑service or live‑chat support role, providing insight into end‑user interactions and expectations.
• Familiarity with data‑visualization tools (e.g., Tableau, Power BI) to create dashboards that surface key VOC metrics.
• Experience with CI/CD pipelines and version‑control systems such as Git.
• Certification in cloud platforms (AWS, Azure, GCP) or big‑data certifications (Cloudera, Hortonworks).
• Exposure to machine‑learning concepts for predictive analytics on customer sentiment data.

Core Skills & Competencies

• Technical Proficiency: Mastery of Hadoop ecosystem components, Spark, PySpark, Python, and shell scripting.
• Analytical Mindset: Ability to dissect large data sets, identify patterns, and propose data‑driven improvements.
• Collaboration: Strong teamwork skills, comfortable working with distributed teams across time zones.
• Problem‑Solving: Proactive approach to troubleshooting data pipelines and automating repetitive tasks.
• Adaptability: Comfortable navigating evolving requirements and shifting priorities in an agile environment.
• Customer‑Centric Focus: Deep appreciation for the voice of the customer and its impact on business strategy.

Compensation, Benefits & Perks

careerzynith offers a competitive hourly wage of $35, complemented by a comprehensive benefits package designed to support your physical, financial, and mental well‑being. While working remotely, you will enjoy:

• Health, dental, and vision insurance plans with employer contributions.
• Retirement savings options, including a 401(k) match.
• Generous paid time off, holidays, and flexible scheduling.
• Professional development stipend for certifications, courses, and conferences.
• Access to a robust onboarding and continuous training program.
• Employee assistance programs that provide counseling, financial advice, and wellness resources.
• Opportunities to participate in internal innovation challenges and hackathons.

Career Growth & Learning Opportunities

careerzynith is committed to nurturing talent from within. As a Live Chat Data Entry Specialist, you will have clear pathways to advance into senior data‑engineering roles, analytics consulting, or product‑management positions. Our mentorship program pairs you with seasoned professionals who will guide you through technical skill development, leadership training, and strategic thinking. Regular performance reviews, goal‑setting workshops, and cross‑functional project rotations ensure you continuously expand your expertise and increase your impact on the organization.

Work Environment & Culture at careerzynith

Our remote‑first culture emphasizes trust, autonomy, and collaboration. careerzynith fosters an inclusive environment where diverse perspectives are celebrated, and every employee feels empowered to contribute ideas. We prioritize holistic well‑being, offering resources that support physical health, financial literacy, and mental resilience. Regular virtual town halls, team‑building activities, and community‑service initiatives keep our global workforce connected and purpose‑driven.

Application Process

If you are passionate about turning raw customer data into strategic insights, thrive in a remote setting, and meet the qualifications outlined above, we invite you to apply today. Submit your resume and a brief cover letter highlighting your relevant experience and why you are excited to join careerzynith. Our recruiting team will review your application promptly and reach out to schedule a virtual interview.

Take the next step in your career with careerzynith—where data meets impact.

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