About careerzynith
careerzynith is a global leader in financial services, technology‑driven payments, and innovative customer experiences. With a heritage of more than a century, careerzynith combines deep industry expertise with cutting‑edge data science to empower millions of consumers and businesses worldwide. Our mission is to deliver seamless, secure, and personalized financial solutions that enable our customers to thrive in an increasingly digital world. As part of our commitment to continuous innovation, careerzynith invests heavily in data platforms, AI‑powered analytics, and next‑generation cloud infrastructure. This creates a vibrant, fast‑moving environment where every employee can make a tangible impact on the future of finance.
Job Summary
careerzynith is seeking a highly motivated Remote Live Chat Data Entry Specialist to join our data‑intensive team. In this role, you will serve as a critical bridge between our customers, product owners, and engineering squads, ensuring that voice‑of‑the‑customer (VOC) insights are captured, transformed, and loaded into our enterprise‑grade data platform. You will work closely with utility teams, data architects, and analytics engineers to design robust data models, validate data quality, and support real‑time and batch analytical solutions built on Hadoop, HDFS, MapReduce, Hive, Spark, and Python.
Key Responsibilities
Data Capture & Transformation
- Collaborate with utility teams to gather, document, and translate business requirements into technical data specifications.
- Collect and curate voice‑of‑the‑customer (VOC) data from live chat interactions, ensuring completeness and accuracy.
- Design, develop, and maintain scalable data pipelines that ingest raw chat logs into the core data lake.
- Apply data‑cleansing techniques, including de‑duplication, normalization, and enrichment, to guarantee high‑quality downstream analytics.
Data Modeling & Architecture
- Architect and implement robust data models that support both operational reporting and advanced analytics.
- Define standardized metric definitions and ensure consistent usage across the organization.
- Work with data engineers to build and optimize Hive tables, Parquet files, and Spark dataframes for efficient query performance.
- Participate in schema evolution discussions, balancing flexibility with data governance requirements.
Analytics Enablement & Testing
- Enable big‑data and real‑time analytical solutions by leveraging Hadoop ecosystem tools (HDFS, MapReduce, Hive, Spark) and Python/PySpark scripts.
- Conduct rigorous data validation and testing at multiple levels—unit, integration, and end‑to‑end—to ensure data integrity.
- Develop automated test suites and monitoring dashboards that surface data quality issues before they impact business users.
- Provide actionable recommendations to improve data processing efficiency and reduce latency.
Collaboration & Agile Delivery
- Partner with product owners, business analysts, and UX designers to translate functional requirements into technical deliverables.
- Participate actively in Scrum ceremonies—daily stand‑ups, sprint planning, retrospectives—to deliver incremental value every two weeks.
- Coordinate with cross‑functional teams (GSN, AET, and other internal groups) to prioritize data initiatives aligned with the VOC “Stop‑Loss” strategy.
- Identify opportunities for automation of repetitive data‑entry tasks, driving operational efficiency and reducing manual error.
Essential Qualifications
- Experience: Minimum 3+ years of hands‑on experience with Hive/Hadoop, PySpark, Python, and shell scripting in a production environment.
- Data Skills: Proven ability to design, develop, and maintain large‑scale data pipelines and data models.
- Customer Focus: Prior experience in customer service or data‑entry roles, with a strong emphasis on accuracy and empathy.
- Communication: Excellent written and verbal communication skills; ability to convey technical concepts to non‑technical stakeholders.
- Agile Mindset: Familiarity with Agile delivery frameworks, including Scrum and Kanban, and a track record of delivering incremental product releases.
- Typing Proficiency: High typing speed (≥70 WPM) with a focus on precision.
- Multitasking Ability: Demonstrated capacity to manage multiple priorities in a fast‑paced, remote work setting.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud, especially services like EMR, Redshift, or BigQuery.
- Knowledge of data governance frameworks (e.g., GDPR, CCPA) and data security best practices.
- Familiarity with CI/CD pipelines for data engineering (e.g., Jenkins, GitLab CI).
- Certification in data engineering, big data, or related fields (e.g., Cloudera Certified Associate, AWS Data Analytics).
- Background in financial services or fintech, providing context for industry‑specific data challenges.
Core Skills & Competencies
- Technical Proficiency: Strong command of Hadoop ecosystem tools, Python, PySpark, and shell scripting.
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose scalable solutions.
- Collaboration: Comfortable working in a distributed team, building relationships across time zones, and fostering a culture of shared ownership.
- Detail Orientation: Meticulous attention to data quality, documentation, and compliance requirements.
- Adaptability: Thrive in an environment where priorities shift quickly and new technologies emerge regularly.
- Customer Empathy: Understanding of how data impacts the end‑user experience, especially in live‑chat scenarios.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Remote Live Chat Data Entry Specialist, you will have access to:
- Structured mentorship programs pairing you with senior data engineers and product leaders.
- Annual learning stipend for certifications, conferences, and online courses.
- Opportunities to transition into advanced data‑engineering, analytics, or product‑management roles after demonstrating mastery of core responsibilities.
- Cross‑functional project exposure, allowing you to broaden your skill set beyond data entry into areas such as machine learning model monitoring and business intelligence reporting.
Work Environment & Culture at careerzynith
Our remote workforce is built on trust, flexibility, and a shared commitment to excellence. careerzynith promotes a culture where:
- Employees are empowered to take ownership of their work and innovate without unnecessary bureaucracy.
- Well‑being is a priority—careerzynith offers holistic health programs covering physical, financial, and mental wellness.
- Inclusivity and diversity are celebrated; we believe diverse perspectives drive better solutions for our global customer base.
- Collaboration tools (Slack, Microsoft Teams, Confluence) keep remote teams connected, ensuring you never feel isolated.
- Performance is measured by impact, not hours logged, giving you the freedom to manage your schedule responsibly.
Compensation, Perks & Benefits
- Competitive Pay: $35 per hour, reflecting the specialized skill set and market demand.
- Remote Flexibility: Work from any location within the United States, with a home‑office stipend for ergonomic equipment.
- Comprehensive Benefits: Medical, dental, vision, and prescription coverage; 401(k) matching; life and disability insurance.
- Paid Time Off: Generous vacation policy, sick leave, and paid holidays to support work‑life balance.
- Learning Resources: Access to internal training portals, external MOOCs, and a library of technical books.
- Employee Assistance Programs: Confidential counseling, financial planning services, and wellness challenges.
- Recognition Programs: Quarterly awards, peer‑to‑peer recognition, and performance bonuses.
How to Apply
If you are passionate about turning raw chat data into actionable insights, thrive in a collaborative remote setting, and are eager to grow within a forward‑thinking financial technology leader, we want to hear from you. Submit your application today and become a valued member of the careerzynith family.
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