Experienced Full Stack Data Analyst – Voice of the Customer (VOC) Transformation and Innovation

At arenaflex, we're committed to creating an inclusive and supportive work environment where every individual feels valued, heard, and empowered to contribute to our collective success. As a Senior Statistics Architect, you'll play a pivotal role in driving the transformation and innovation of our Voice of the Customer (VOC) methodology, leveraging cutting-edge technologies and collaborative approaches to deliver exceptional results.

About arenaflex

arenaflex is a global leader in the financial services industry, renowned for its commitment to excellence, innovation, and customer satisfaction. With a rich history spanning over a century, we've built a reputation for delivering unparalleled service experiences that exceed our customers' expectations. Our mission is to empower individuals and businesses to achieve their financial goals, and we're passionate about creating a workplace culture that reflects our values of integrity, teamwork, and customer-centricity.

The Role

As a Senior Statistics Architect, you'll be responsible for assisting the transformation and innovation of our VOC methodology, working closely with cross-functional teams to design, develop, and implement data-driven solutions that drive business growth and customer satisfaction. Your expertise will be instrumental in shaping the future of our VOC strategy, leveraging advanced analytics, machine learning, and data visualization techniques to deliver actionable insights and recommendations.

Key Responsibilities

* Collaborate with utility teams to outline, design, and capture business needs, ensuring seamless integration with our VOC methodology.

• Develop and maintain a deep understanding of Voice of the Customer methods, leveraging this knowledge to inform and transform data within our Cornerstone Large Data Platform.
• Design and build robust data model architecture to facilitate 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 that ensure data quality and accuracy through rigorous testing and validation.
• Provide guidance on optimizing 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 builds 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-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 visualization tools, such as Tableau, Power BI, or D3.js.
• Strong understanding of data warehousing, ETL processes, and data governance.
• Experience with cloud-based data platforms, such as Amazon Web Services (AWS) or Microsoft Azure.
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

Skills and Competencies

* Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts to non-technical stakeholders.

• Excellent collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Strong understanding of data visualization tools, such as Tableau, Power BI, or D3.js.
• Experience with data warehousing, ETL processes, and data governance.
• Familiarity with Agile methodologies of delivery, where small increments of a product are introduced at regular intervals to business groups.
• Strong understanding of data-driven decision-making and the ability to communicate insights and recommendations to stakeholders.

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to supporting the growth and development of our employees, providing opportunities for career advancement, training, and education. Our comprehensive benefits package includes:

• Competitive base salaries
• Bonus incentives
• Support for economic-well-being and retirement
• Flexible work arrangements, including hybrid, onsite, or remote options
• 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
• Career development and education opportunities

Work Environment and Company Culture

arenaflex is committed to creating a workplace culture that reflects our values of integrity, teamwork, and customer-centricity. Our offices are designed to foster collaboration, innovation, and creativity, with amenities and resources to support the well-being and success of our employees. We prioritize diversity, equity, and inclusion, striving to create a workplace where every individual feels valued, heard, and empowered to contribute to our collective success.

How to Apply

If you're passionate about data-driven decision-making, customer-centricity, and innovation, we encourage you to apply for this exciting opportunity. Please submit your application through our website, including your resume, cover letter, and any relevant work samples or certifications. We can't wait to hear from you! Apply for this job