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Experienced Full Stack Data Analyst – Voice of the Customer Methodology Development and Innovation

100% Remote Full-time Open now

At arenaflex, we're committed to creating a workplace where every individual feels seen, heard, and valued. Our organization values collaboration, innovation, and a customer-centric approach to drive business success. As a Senior Statistics Architect, you'll play a pivotal role in transforming and innovating our Voice of the Customer (VOC) methodology, leveraging cutting-edge technologies to deliver exceptional customer experiences.

Join arenaflex's Crew Amex and lead the way together

With over 5 million surveys received from clients annually 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 delight surveys, comprising 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.

Key Responsibilities:

* Collaborate with utility teams to outline, design, and capture business needs

  • Develop in-depth knowledge of Voice of the Customer methods and leverage them to inform and transform data within the Cornerstone Large Data Platform
  • Design and build robust data model architecture to facilitate efficient data processing and standardized metric definitions
  • Deliver high-quality and accurate insights through intensive testing at various use case levels, utilizing transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python)
  • Provide guidance to enhance competencies and drive efficiency in computing programs using massive data ecosystems
  • Develop and implement consumer tale evaluation and elaboration, software program design, and automation tools
  • Proactively identify and automate repetitive tasks to improve productivity 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 for data-driven tasks for a span of no less than 3+ years

  • Ability to collaborate actively with dating managers/product owners to translate functional requirements into technical deliverables
  • Familiarity with Agile methodologies, where small increments of a product are introduced at regular intervals to business groups
  • Strong analytical and problem-solving skills, with the ability to communicate complex ideas effectively

Preferred Qualifications:

* Experience with data visualization tools and techniques

  • Knowledge of machine learning algorithms and their applications
  • Familiarity with cloud-based data platforms and big data ecosystems
  • Certification in data science, analytics, or a related field

Why Join arenaflex?

* Competitive base salaries and bonus incentives

  • Support for economic, physical, and intellectual well-being through various programs and resources
  • Flexible work arrangements, including hybrid, onsite, or remote options, depending on position and business needs
  • Generous paid parental leave policies (dependent on location)
  • Free access to international on-site online wellness facilities staffed with nurses and doctors (dependent on location)
  • Confidential counseling support through our Wholesome Minds application
  • Opportunities for career growth and education

How to Apply:

If you're a motivated and innovative data professional looking to make a meaningful impact, we encourage you to apply for this exciting opportunity. Visit our website to learn more about arenaflex and our commitment to creating a workplace where every individual thrives. Apply Now! For more job opportunities, please click here: Browse Jobs Apply for this job

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