Experienced Senior Statistics Architect – Voice of the Customer Method Transformation and Innovation

At arenaflex, we're committed to creating an inclusive and supportive work environment where every individual feels valued and empowered to contribute to our shared success. As a Senior Statistics Architect, you'll play a critical role in driving the transformation and innovation of our Voice of the Customer (VOC) method, working closely with cross-functional teams to design and implement cutting-edge solutions that deliver exceptional customer experiences.

About arenaflex

arenaflex is a leading global organization with a rich history of innovation and customer-centricity. With over 5 million surveys received from clients each year across consumer, business, and service provider segments, our Customer Listening Team is responsible for implementing the Stop-to-Stop Voice of the Customer technique. This involves designing and programming customer experience surveys, including 40+ studies translated into over 10 languages and deployed in more than 20 countries.

The Opportunity

We're seeking an experienced Senior Statistics Architect to join our team and drive the transformation and innovation of our VOC method. As a key member of our team, you'll work closely with product and process owners, subject matter experts from Qualtrics, and our Agile team in Technology to design and implement data-driven solutions that deliver exceptional customer experiences.

Key Responsibilities

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

• Develop and leverage knowledge of Voice of the Customer methods to inform and transform data within the Cornerstone Large Data Platform
• Design and build robust data model architecture to support high-performance data processing and standardized metric definitions
• Develop and deliver large-scale 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 variable and use case levels
• Provide guidance to enhance competencies to drive efficiency in computing programs using massive data ecosystems
• Power customer story evaluation and elaboration, design and development of software programs, testing and building 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 Stop-to-Stop technique

Essential and Preferred 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

• Strong collaboration skills with dating managers/product owners to translate functional requirements into technical deliverables
• Familiarity with Agile methodologies of delivery, where small increments of a product are introduced at regular intervals to business groups
• Experience with data modeling, data warehousing, and business intelligence tools
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders
• Experience with cloud-based data platforms and big data technologies (Hadoop, Spark, etc.)
• Strong understanding of data governance, data quality, and data security principles

Skills and Competencies

* Strong technical skills in data modeling, data warehousing, and business intelligence tools

• Excellent analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams
• Experience with Agile methodologies of delivery, where small increments of a product are introduced at regular intervals to business groups
• Strong understanding of data governance, data quality, and data security principles
• Experience with cloud-based data platforms and big data technologies (Hadoop, Spark, etc.)

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to supporting the growth and development of our colleagues. As a Senior Statistics Architect, you'll have access to a range of learning and development opportunities, including:

• Competitive base salaries and bonus incentives
• Support for economic-well-being and retirement
• Flexible working 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 well-being facilities staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Wholesome Minds application
• Career development and education opportunities

Work Environment and Company Culture

At arenaflex, we're committed to creating an inclusive and supportive work environment where every individual feels valued and empowered to contribute to our shared success. Our company culture is built on the following values:

• We're a team: We work together to achieve our goals and support each other in our personal and professional development.
• We're customer-centric: We're committed to delivering exceptional customer experiences and continuously improving our products and services to meet their needs.
• We're innovative: We're always looking for new and better ways to do things, and we encourage our colleagues to think creatively and take calculated risks.
• We're inclusive: We believe that diversity and inclusion are essential to our success, and we're committed to creating a workplace where everyone feels welcome and valued.

How to Apply

If you're a motivated and experienced Senior Statistics Architect looking for a new challenge, we'd love to hear from you. Please submit your application through our website, including your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply for this job