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

Remote Full-time
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!

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