Experienced Full Stack Data Analyst – Voice of the Customer Method Transformation and Innovation
At arenaflex, we're committed to fostering a collaborative and inclusive environment where every individual has the opportunity to contribute to our organization's success. As a Senior Statistics Architect, you'll play a pivotal role in the transformation and innovation of our Voice of the Customer (VOC) method, driving business growth and customer satisfaction through data-driven insights. Join arenaflex and be part of a dynamic team that's shaping the future of customer experience With over 5 million surveys received from clients each year across the consumer, business, and service provider sectors, our Customer Listening Team is responsible for implementing the Stop-to-Give-Up Voice of the Customer technique. This technique involves designing and programming customer experience surveys, which include 40+ studies translated into over 10 languages and deployed in more than 20 countries. As a Senior Statistics Architect, you'll work closely with product and process owners, Qualtrics specialists, and the Agile team in Technology to drive innovation and improvement in our VOC method.
Key Responsibilities:
* Collaborate with utility teams to outline, develop, and capture business needs
- Grow knowledge of Voice of the Customer methods and leverage them to outline and transform data within the Cornerstone Large Data Platform
- Design and build robust data model architecture to support efficient data processing and standardized metric definitions
- Develop and implement large-scale data analytics and batch/real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions ensuring high-quality and accuracy through intensive testing at various and use case levels
- Provide guidance to enhance competencies to drive efficiency in computing programs using massive data ecosystems
- Power customer tale evaluation & elaboration, design and development of software programs, checking out & builds automation tools
- Proactively identify and automate repetitive tasks to improve best and efficiency
- Work closely with colleagues from GSN and AET to prioritize, define, increase, and review statistics for various use cases as part of the VOC cease-to-quit technique
Essential Qualifications:
* Hands-on experience with Hive/Hadoop, Pyspark, Python, shell scripting languages, development life cycle management, and troubleshooting understanding for data-driven tasks for a span of no less than 3+ years
- Ability to collaborate actively with dating managers/product owners to expertise functional requirements and convert them into technical deliverables
- Familiarity with Agile methodologies of delivery, where small increments of a product are introduced at regular intervals to business groups
Preferred Qualifications:
* Experience with data visualization tools and technologies
- Knowledge of machine learning algorithms and techniques
- Familiarity with cloud-based data platforms and services
- Certification in data science, analytics, or a related field
Why join arenaflex?
* Competitive base salaries and bonus incentives
- Support for economic-well-being and retirement
- Flexible work model with hybrid, onsite, or digital preparations depending on position and business needs
- Generous paid parental leave policies (depending on location)
- Free access to international on-site online wellness facilities staffed with nurses and doctors (depending on location)
- Free and confidential counseling aid through our Wholesome Minds application
- Career growth and education opportunities
What we offer:
* A dynamic and inclusive work environment that values diversity and promotes collaboration
- Opportunities for professional growth and development in a rapidly evolving industry
- A comprehensive benefits package that supports your physical, financial, and mental well-being
- A chance to work on high-impact projects that drive business growth and customer satisfaction
- A team of passionate and dedicated professionals who are committed to making a difference
How to apply:
If you're a motivated and experienced data analyst looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We can't wait to hear from you! Apply Now! For more job opportunities, please visit our website: Browse Jobs Apply for this job