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

Work from home Full-time role Hiring

At arenaflex, we believe that every individual has the potential to make a significant impact. Our organization values diversity, equity, and inclusion, and we strive to create a work environment where every person feels seen, heard, and valued. We're not just looking for talented professionals; we're looking for individuals who share our passion for innovation, collaboration, and excellence. As a Senior Data Analyst, you'll play a critical role in the development and innovation of our Voice of the Customer (VOC) methodology. You'll work closely with cross-functional teams to design, build, and implement data-driven solutions that drive business growth and customer satisfaction. If you're passionate about data analysis, innovation, and collaboration, we encourage you to apply for this exciting opportunity.

About arenaflex

arenaflex is a global leader in the financial services industry, with a rich history of innovation and customer-centricity. We're committed to delivering exceptional customer experiences, and our VOC methodology is a key enabler of this goal. Our customer listening team receives over 5 million surveys from clients each year, across consumer, business, and service provider segments. We're looking for talented professionals like you to help us transform and innovate our VOC methodology, leveraging cutting-edge technologies and data analytics.

Key Responsibilities

As a Senior Data Analyst, your primary responsibilities will include:

  • Collaborating with utility teams to outline, design, and implement business requirements for our VOC methodology
  • Developing and maintaining a deep understanding of Voice of the Customer methods and leveraging this knowledge to drive innovation and transformation within our Cornerstone large data platform
  • Designing and building robust data model architecture to support high-performance statistical processing and standardized metric definitions
  • Providing expert guidance on leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark, and Python) to deliver innovative solutions that ensure data quality and accuracy through intensive testing at variable and use case levels
  • Developing and implementing automation tools to improve efficiency and productivity in computing programs using massive data ecosystems
  • Powering consumer tale evaluation and elaboration, design and development of software programs, testing, and building automation tools
  • Proactively identifying and automating repetitive tasks to improve best and efficiency
  • Collaborating 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

To be successful in this role, you'll need:

  • 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 the ability to work closely 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
  • Strong analytical and problem-solving skills, with the ability to design and implement data-driven solutions that drive business growth and customer satisfaction

Preferred Qualifications

While not essential, the following qualifications would be highly desirable:

  • Experience with data visualization tools, such as Tableau or Power BI
  • Familiarity with cloud-based data platforms, such as AWS or Azure
  • Experience with machine learning algorithms and techniques
  • Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders

Career Growth Opportunities and Learning Benefits

At arenaflex, we're committed to helping our colleagues grow and develop their skills and careers. We offer a range of learning and development opportunities, including:

  • Career development and education programs
  • Mentorship and coaching opportunities
  • Access to industry-leading training and development resources
  • Opportunities for professional growth and advancement

Work Environment and Company Culture

We're proud of our inclusive and supportive work environment, where every person feels valued and empowered to contribute. Our company culture is built on the following values:

  • Integrity: We operate with the highest level of integrity, transparency, and accountability.
  • Customer-centricity: We're passionate about delivering exceptional customer experiences.
  • Innovation: We're committed to innovation and continuous improvement.
  • Collaboration: We work together as a team to achieve our goals.
  • Diversity, equity, and inclusion: We celebrate our differences and strive to create a workplace where everyone feels seen, heard, and valued.

Compensation, Perks, and Benefits

We offer a competitive base salary, bonus incentives, and a range of benefits, including:

  • Competitive base salaries
  • Bonus incentives
  • Assistance 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)
  • Free and confidential counseling support through our Wholesome Minds application

How to Apply

If you're passionate about data analysis, innovation, and collaboration, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply for this exciting role. Please visit our website to learn more about arenaflex and our culture, and to submit your application. Apply Job! Apply for this job

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