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!
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