Experienced Full Stack Data Engineer – Voice of the Customer Analytics and Data Architecture

At arenaflex, we're committed to creating a workplace where every individual feels valued, heard, and empowered to contribute to our organization's success. As a Senior Statistics Architect, you'll play a pivotal role in shaping the future of our customer listening strategy, leveraging cutting-edge technologies to drive business growth and customer satisfaction. Join our crew and be part of a dynamic team that's passionate about delivering exceptional results.

About arenaflex

arenaflex is a global leader in the financial services industry, with a rich history of innovation and customer-centricity. With over 5 million surveys received from clients each year across the consumer, business, and service provider segments, our customer listening team is responsible for implementing the Stop-To-Give-Up Voice of the Customer technique. This involves designing and programming customer experience surveys, which include 40+ studies translated into over 10 languages and deployed in more than 20 countries.

The Role

As a Senior Statistics Architect, you'll be instrumental in transforming and innovating our Voice of the Customer method. Your primary responsibilities will include:

• Collaborating with utility teams to outline, design, and capture business needs
• Developing knowledge of Voice of the Customer methods and leveraging them to inform and transform data within the Cornerstone large data platform
• Designing and building robust data model architecture to facilitate efficient data processing and standardized metric definitions
• Providing big data and batch/real-time analytical answers 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
• Offering pointers to enhance competencies to drive efficiency in computing programs using massive data ecosystems
• Powering customer tale evaluation & elaboration, design and development of software programs, checking out & builds automation tools
• Proactively identifying and automating repetitive tasks to improve best and efficiency
• Working 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 warehousing, ETL, and data governance

• Knowledge of cloud-based data platforms and big data technologies
• Familiarity with data visualization tools and techniques
• Experience with data quality and data integrity best practices
• Certification in data science, data engineering, or related fields

arenaflex Culture and Benefits

At arenaflex, we prioritize our colleagues' and their loved ones' holistic well-being through every stage of life. This means we focus on their physical, mental, and financial health. Our benefits package includes:

• Competitive base salaries
• Bonus incentives
• Assistance for economic-well-being and retirement
• Flexible work arrangements 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 development and education opportunities

How to Apply

If you're passionate about data engineering, analytics, and customer-centricity, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply Now! Apply for this job