Lead Data Operations Analyst – Big Data Environment & Production Support Specialist – arenaflex Charlotte Location

About arenaflex

At arenaflex, we believe in the power of data to transform businesses and create meaningful impact for our customers and communities. As a leading financial services organization, we are committed to fostering an inclusive, innovative, and collaborative environment where talented individuals can thrive and grow. Our Data Operations team plays a critical role in ensuring the reliability, quality, and performance of our data infrastructure, which powers the innovative products and services we deliver to millions of customers worldwide.

We are currently seeking an experienced and motivated Lead Data Operations Analyst to join our Client Information Products Group at our Charlotte, USA location. This is an exciting opportunity for a technical professional with a strong background in big data environments who is looking to make a significant impact while advancing their career in a dynamic, forward-thinking organization.

Position Overview

The Lead Data Operations Analyst will be responsible for leading production support activities for a suite of data analysis products that support internal bank operations. This role requires a professional with a deep understanding of large-scale data lake environments who can collaborate effectively with multiple technology teams to identify, analyze, and remediate platform and data quality issues before they impact our products and services.

In addition to production support responsibilities, this position will involve leading smaller initiatives to enhance our production support capabilities, including the implementation of new monitoring tools, establishment of new operational procedures, and preparation for the launch of new products. The ideal candidate will be a self-starter who thrives in a fast-paced environment and is passionate about continuous improvement.

Key Responsibilities

As a Lead Data Operations Analyst at arenaflex, you will be entrusted with a variety of critical responsibilities that directly impact our operational excellence and customer satisfaction. Your daily activities will include:

• Lead Production Support Activities: Oversee and coordinate production support activities for a group of data analysis products used to support internal bank operations, ensuring seamless functionality and minimal disruption.


• Incident Management: Serve as a key contributor in the identification and triage of production incidents affecting our client data analysis platform, responding swiftly to minimize impact.


• Technical Analysis: Analyze complex technical challenges within a big data environment that require in-depth assessment and innovative solutions to ensure system reliability and performance.


• Reporting and Communication: Lead research efforts and prepare comprehensive reports related to ongoing production issues, effectively presenting findings to internal stakeholders and leadership teams.


• Process Enhancement: Lead the development of new operational processes and platform enhancements that improve efficiency and effectiveness across the team.


• Cross-Team Coordination: Act as the primary contact for the inland team, ensuring clear communication and accurate reporting of delivery progress from offshore teams.


• Continuous Improvement: Champion continuous improvement initiatives, including devising new strategies and identifying new opportunities for optimization and innovation.


• Performance Standards: Contribute to the establishment of performance standards for the team and ensure operations achieve or exceed established performance metrics.


• Risk and Control Management: Direct the daily Risk and Control stream of operations, focusing on policies, procedures, and work standards to ensure successful outcomes; redesigning and driving continuous support improvement.


• Team Leadership: Lead teams to meet deadlines and drive new initiatives forward while maintaining high quality standards.


• Plan Review and Approval: Review, approve, and implement recommended changes to plans, ensuring alignment with organizational objectives.


• Collaboration: Collaborate and consult with team members to resolve initiatives and achieve technology mandates effectively.


• Mentorship: Act as a mentor and guide to peers, sharing expertise and fostering professional development across the team.

Required Qualifications

To be considered for this position, candidates must meet the following essential requirements:

• Education: Bachelor's degree in a relevant field such as Computer Science, Information Technology, Data Science, or a related discipline.


• Experience: A minimum of 3+ years of Analysis experience, or equivalent demonstrated through a combination of the following: relevant work experience, training, military experience, or education.


• Technical Proficiency: Strong foundational knowledge of data analysis principles and practices.


• Communication Skills: Excellent written and verbal communication skills with the ability to present complex technical information to diverse audiences.


• Problem-Solving Abilities: Strong analytical and problem-solving skills with the capability to troubleshoot complex issues in high-pressure situations.


• Team Collaboration: Demonstrated ability to work effectively both independently and as part of a collaborative team environment.

Preferred Qualifications

While not required, the following qualifications will give you a competitive edge in this role:

• Big Data Environment Experience: 3+ years of experience supporting big data environments, including hands-on work with large-scale data platforms and architectures.


• Data Engineering Background: 3+ years of experience delivering ETL, data warehouse, and data analysis capabilities on big data architecture platforms.


• Technical Tool Proficiency: 2+ years of experience using a combination of the following tools: HIVE, Panda, Autosys, Grafana, and Splunk for data analysis, monitoring, and automation.


• Database Technologies: Previous experience supporting Kafka and MongoDB systems, with understanding of real-time data streaming and NoSQL database concepts.


• Financial Services Industry: Prior experience in the financial services or banking industry, with familiarity of regulatory requirements and data governance best practices.


• Project Management: Experience leading small to medium-sized projects with demonstrated ability to manage timelines, resources, and stakeholder expectations.


• Process Documentation: Experience establishing operational procedures and documenting technical processes.

Skills and Competencies

Success in this role requires a diverse set of technical and interpersonal skills. We are looking for candidates who possess:

• Big Data Technologies: In-depth knowledge of big data architectures, data lakes, and related technologies used for storing, processing, and analyzing large volumes of data.


• Data Quality Management: Understanding of data quality principles and best practices for ensuring accuracy, completeness, and consistency of data.


• Monitoring and Alerting: Familiarity with monitoring tools and alerting systems to proactively identify and address production issues.

Analytical Thinking: Strong ability to analyze complex technical problems, identify root causes, and develop effective solutions.

• Adaptability: Comfortable working in a dynamic environment with evolving requirements and priorities.


• Stakeholder Management: Ability to effectively communicate with and manage expectations of internal stakeholders across different teams and levels of the organization.


• Attention to Detail: Meticulous attention to detail when reviewing data, reports, and technical documentation.


• Time Management: Excellent organizational skills with the ability to manage multiple priorities and meet tight deadlines.

Career Growth and Development Opportunities

At arenaflex, we are deeply invested in the professional development and career growth of our employees. As a Lead Data Operations Analyst, you will have access to a wide range of opportunities to expand your skills and advance your career:

• Technical Training: Comprehensive training programs on cutting-edge big data technologies, data analysis tools, and industry best practices.


• Career Advancement: Clear pathways for career progression into senior technical roles, management positions, or specialized domains within the organization.


• Certification Support: Financial support and study time for obtaining relevant professional certifications in data engineering, cloud platforms, and project management.


• Mentorship Programs: Access to experienced mentors who can guide your professional development and help you navigate your career path.


• Cross-Functional Exposure: Opportunities to work with different teams and departments, broadening your experience and understanding of the business.


• Industry Conferences: Sponsorship to attend relevant industry conferences, workshops, and seminars to stay current with emerging trends and technologies.

Work Environment and Culture

arenaflex is committed to creating an inclusive, diverse, and supportive work environment where every employee can succeed and feel valued. Our Charlotte office offers:

• Collaborative Culture: A team-oriented atmosphere where knowledge sharing and mutual support are encouraged and celebrated.


• Work-Life Balance: Flexible work arrangements and supportive policies that help you maintain a healthy balance between professional and personal commitments.


• Innovation Focus: An environment that encourages creativity, innovation, and fresh thinking to solve complex challenges.


• Inclusive Workplace: A diverse workforce where different perspectives are valued and contribute to our collective success.


• Modern Facilities: State-of-the-art office spaces equipped with the latest technology and amenities to support your productivity and comfort.


• Community Involvement: Opportunities to participate in community outreach programs and volunteer activities that make a positive impact.

Compensation and Benefits

arenaflex offers a competitive and comprehensive compensation package designed to attract, retain, and reward top talent. In addition to the hourly rate of $27/hour for this full-time position, we provide:

• Financial Rewards: Competitive base salary with annual performance-based bonuses and incentive programs.


• Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans, along with wellness programs and resources.


• Retirement Benefits: 401(k) retirement plan with company matching contributions to help you save for the future.


• Paid Time Off: Generous paid time off policies including vacation days, personal days, and holidays.


• Parental Leave: Supportive parental leave policies for new parents.


• Professional Development: Tuition reimbursement and educational assistance for continued learning.


• Employee Assistance Program: Confidential support services for personal and professional challenges.


• Employee Discounts: Access to exclusive discounts on products and services from partner vendors.

How to Apply

If you are ready to take the next step in your career and join a dynamic team that values excellence, innovation, and collaboration, we encourage you to apply for this exciting opportunity. We are looking for passionate individuals who are eager to contribute to our mission and grow with our organization.

To apply for the Lead Data Operations Analyst position at arenaflex, please submit your updated resume and cover letter through our online application portal. Be sure to highlight your relevant experience, technical skills, and accomplishments that make you an ideal candidate for this role.

arenaflex is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.