Senior Data Entry & Voice‑of‑Customer Analyst – Live Chat, Remote – $35 /hr – 2024 – Bangladesh

About careerzynith – Pioneering Customer Insight Solutions

careerzynith is a global leader in delivering world‑class customer experiences through data‑driven insights and innovative technology. With millions of surveys collected each year across consumer, business, and service‑provider segments, careerzynith empowers brands to listen, learn, and act on the voice of the customer (VoC). Our mission is to create an environment where every employee feels valued, heard, and inspired to contribute to the collective success of the organization. As we continue to expand our analytics capabilities, we are looking for passionate professionals to join our remote team in Bangladesh and help shape the future of data‑centric decision making.

Role Overview

The Senior Data Entry & Voice‑of‑Customer Analyst will play a pivotal role in transforming raw survey data into actionable intelligence. Working closely with product owners, data engineers, and agile delivery teams, you will design, build, and maintain robust data models that power real‑time analytics and reporting across careerzynith’s VoC platform. This position blends technical expertise with a deep understanding of customer experience, ensuring that the insights we deliver are accurate, timely, and impactful.

Key Responsibilities

• Collaborate with business stakeholders to gather, refine, and translate functional requirements into technical specifications for data pipelines and analytics solutions.
• Develop and maintain large‑scale data models on the careerzynith data platform, supporting both batch and streaming analytics workloads.
• Design, implement, and optimize ETL processes using Hadoop, HDFS, Hive, Spark, PySpark, and Python to ingest and transform survey data from multiple sources.
• Ensure data quality and integrity through rigorous testing, validation, and automated monitoring frameworks.
• Build and document standardized metric definitions that enable consistent reporting across product lines and regions.
• Partner with the agile development team to deliver incremental product enhancements in two‑week sprints, adhering to Scrum best practices.
• Provide technical guidance and mentorship to junior data engineers and analysts, fostering a culture of continuous learning.
• Identify opportunities for automation and process improvement, reducing manual effort and increasing operational efficiency.
• Support the Voice‑of‑Customer analytics suite by creating dashboards, visualizations, and self‑service reporting tools for business users.
• Stay current with emerging big‑data technologies and recommend strategic adoption to keep careerzynith at the forefront of innovation.

Essential Qualifications

• Minimum 3 years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark/PySpark for large‑scale data processing.
• Proficiency in Python programming, including libraries such as pandas, NumPy, and PySpark.
• Strong command of SQL and data modeling concepts, with experience designing relational and dimensional schemas.
• Demonstrated ability to work in an agile environment, delivering incremental value in short sprint cycles.
• Excellent problem‑solving skills and the capacity to troubleshoot complex data pipelines under tight deadlines.
• Effective communication skills, both written and verbal, to convey technical concepts to non‑technical stakeholders.
• Fluency in English; proficiency in Bengali is a plus for local collaboration.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly services related to data storage and processing.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for automated deployment.
• Background in customer experience analytics or survey data processing, preferably within a large enterprise.
• Familiarity with data visualization tools like Tableau, Power BI, or Looker.
• Certification in data engineering or big‑data technologies (e.g., Cloudera, Hortonworks, Databricks).

Core Skills & Competencies

• Analytical mindset: Ability to interpret complex datasets and translate findings into business‑ready insights.
• Collaboration: Works effectively with cross‑functional teams, including product management, engineering, and operations.
• Attention to detail: Maintains high data quality standards through meticulous testing and validation.
• Adaptability: Thrives in a fast‑paced, remote work environment and embraces change.
• Leadership: Mentors junior team members and contributes to a culture of knowledge sharing.
• Customer‑centric focus: Keeps the end‑user experience at the heart of all data solutions.

Compensation, Perks & Benefits

careerzynith offers a competitive base salary of $35 per hour, complemented by performance‑based bonuses. Our comprehensive benefits package includes:

• Health, dental, and vision coverage with access to on‑site or virtual medical facilities.
• Retirement savings plans with employer matching contributions.
• Generous paid parental leave policies, tailored to local regulations.
• Flexible work arrangements – choose between fully remote, hybrid, or occasional on‑site collaboration.
• Access to a global employee assistance program offering confidential counseling and mental‑health resources.
• Continuous learning opportunities, including tuition reimbursement, certification support, and internal training academies.
• Career development pathways that enable progression into senior technical, product, or leadership roles.
• Employee recognition programs that celebrate innovation, teamwork, and impact.

Career Growth & Learning Opportunities

At careerzynith, your professional development is a priority. You will have the chance to:

• Work on cross‑border projects that expose you to diverse markets and data sets.
• Participate in internal hackathons, data challenges, and innovation labs.
• Receive mentorship from senior architects and data science leaders.
• Expand your skill set through structured learning tracks covering cloud engineering, advanced analytics, and product management.
• Transition into roles such as Data Platform Engineer, Analytics Product Owner, or VoC Strategy Lead as you demonstrate expertise and leadership.

Work Environment & Culture at careerzynith

careerzynith fosters an inclusive, collaborative, and high‑performance culture. Our remote teams are connected through regular virtual stand‑ups, coffee chats, and community events. We celebrate diversity, encourage open dialogue, and invest in employee well‑being through:

• Wellness programs that include virtual fitness classes, mindfulness sessions, and ergonomic assessments.
• Employee resource groups (ERGs) that support under‑represented communities.
• A transparent communication model where leadership shares company goals, performance metrics, and strategic direction.
• Recognition of individual contributions through awards, spot bonuses, and public shout‑outs.

Application Process

If you are excited about turning raw survey data into strategic insights and thrive in a dynamic, remote environment, we want to hear from you. To apply, please click the link below, submit your updated resume, and include a brief cover letter highlighting your relevant experience and why you are passionate about the Voice‑of‑Customer domain.

Apply Now – Join careerzynith Today!

Conclusion

careerzynith is more than a workplace; it is a community of innovators dedicated to shaping the future of customer experience. By joining our team as a Senior Data Entry & Voice‑of‑Customer Analyst, you will play a critical role in delivering insights that drive business success worldwide. Take the next step in your career, enjoy a supportive work environment, and make a meaningful impact. Apply today and become part of the careerzynith family.