Senior Supply Chain Management Operations Data Analytics Analyst – Strategic Business Intelligence & Data Visualization (Work From Home)

About arenaflex

Welcome to arenaflex, where we believe in the power of connection and the importance of bringing people together through innovative solutions. As a leading organization in our industry, we pride ourselves on fostering a dynamic work environment that encourages creativity, collaboration, and continuous learning. Our commitment to excellence and customer satisfaction has been the cornerstone of our success, and we're looking for talented individuals who share our passion for innovation and dedication to results.

At arenaflex, we understand that our greatest asset is our people. That's why we invest heavily in creating an inclusive workplace where diverse ideas and perspectives are not only welcomed but celebrated. We believe that when our employees thrive, our organization thrives. Join us and become part of a team that's transforming the way we approach business intelligence and data analytics.

Position Overview

Are you ready to take your career to new heights as a Senior Supply Chain Management Operations Data Analytics Analyst? arenaflex is seeking a strategic thinker and expert communicator who thrives in a dynamic environment and is excited to drive multiple projects forward. In this pivotal role, you'll be instrumental in developing and implementing cutting-edge Business Intelligence solutions that directly impact our operational efficiency and strategic decision-making.

This position offers an exceptional opportunity to work from home while contributing to meaningful projects that shape the future of our Supply Chain operations. You'll be supporting critical analysis for the Supply Chain Department and other internal stakeholders through comprehensive spend reporting and performance metrics. Your expertise will help transform raw data into actionable insights that drive business growth and operational excellence.

Key Responsibilities

As a Senior SCM Operations Data Analytics Analyst at arenaflex, you will be responsible for:

• Data Analysis and Insights: Conduct comprehensive data analysis using advanced techniques including data mining, data modeling, and cost-benefit analysis. Identify data and system issues that affect reporting quality and analytical deliverables, ensuring accuracy and reliability in all outputs.
• Business Intelligence Development: Design and create compelling data visualizations using Tableau and other visualization tools. Transform complex data sets into intuitive dashboards that enable stakeholders to make informed decisions quickly and effectively.
• Methodology Implementation: Develop and implement quality practices and methodologies while maintaining a deep understanding of customer needs to ensure all deliverables meet or exceed expectations.
• Process Optimization: Create and optimize processes for data analysis and reporting, both for internal and external customers. Streamline data blending and data manipulation workflows to reduce manual processes and improve operational efficiency.
• Data Integration: Provide project-based knowledge for data extraction, collection, integration, and analysis from multiple data sources. Ensure data integrity and consistency across all reporting platforms.
• Cross-Functional Support: Support the SCM Department and internal customers by providing comprehensive reporting, analysis, dashboard development, and application development that meets business requirements.
• Strategic Collaboration: Work collaboratively with team members and cross-functional departments on strategic initiatives. Foster strong relationships with stakeholders to ensure alignment and successful project outcomes.
• Continuous Improvement: Perform other job-related duties as directed by leadership, contributing to the overall success of the Supply Chain Management team and the organization.

Required Qualifications

Education

• High School Diploma or GED (required)
• Bachelor's degree in Business, Information Systems, Computer Engineering, Computer Science, or a related field (required)

Experience

We are looking for candidates with advanced-level experience and specialized knowledge in:

• Analytical, data science, or data-centric environments
• Data Analysis, Data Modelling, and Data Architecture
• Management of big data systems (Microsoft SQL Server, Oracle, Teradata, or equivalent knowledge of ETL functionality)
• Data evaluation and visualization tools (Advanced Excel, Quickbase, SAP Business Objects, Crystal Reports, Power BI, Tableau, Alteryx, or equivalent)
• General experience building complex models using multiple data sets to calculate TCO/cost savings/KPIs
• Experience leading medium-scale corporate projects

Essential Skills and Competencies

To succeed in this role, you must possess the following skills:

• Data Manipulation Expertise: Skilled in collecting, organizing, transforming, cleaning, visualizing, and assimilating data, including converting raw data into meaningful information using data-oriented programming languages and visualization software.
• Problem-Solving Abilities: Skilled in identifying complex issues and reviewing related information to develop and evaluate options and implement effective solutions.
• Stakeholder Management: Ability to demonstrate knowledge and expertise of stakeholders' needs and adapt approach accordingly to deliver value-added solutions.
• Data Integration: Ability to facilitate data sharing between external customers and the Supply Chain team to create data structures that meet user requirements.
• Multi-Source Data Collection: Ability to gather data from multiple and diverse sources while solving complex problems.
• Time Management: Ability to prioritize work with minimal guidance and meet customer timelines while delivering high-quality work.
• Communication Skills: Excellent verbal and written communication skills in the English language to meet the needs of the role.
• Technical Proficiency: Proficient in using computer and other office productivity tools with sufficient speed and accuracy to meet job requirements.

Work Environment and Location

This role is offered as a work-from-home position, providing flexibility and autonomy in your work environment. Employees are expected to work within the region they support, which may require a combination of onsite company facilities and remote-based offices to perform job functions in a local area determined by business need. Each department will provide employees with guidance on when and where presence is needed, with as much notice as reasonably possible.

This position requires minimal travel, making it ideal for candidates seeking a balanced work-life arrangement while still maintaining connections with their team and organizational stakeholders.

Authorization Requirements

U.S. citizenship or current authorization to work in the U.S. is required. No current or future work authorization sponsorship is available for this position. arenaflex is an Equal Opportunity Employer, and we continue to seek opportunities to reflect the communities we serve. We welcome candidates with diverse ideas, backgrounds, and experiences.

Compensation and Benefits

At arenaflex, we value our employees and are committed to providing a comprehensive benefits package that supports your professional and personal well-being:

• Competitive Hourly Rate: $35-45 per hour, commensurate with experience and qualifications
• Retirement Savings: Up to 9.3% 401(k) company match, dollar for dollar, of your eligible pay, per paycheck
• Profit Sharing: Potential for annual profit-sharing contribution toward retirement – when arenaflex succeeds, you succeed
• Professional Development: Strong work environment with equal opportunities for learning and personal growth
• Career Advancement: Opportunities to expand your skills and advance within the organization
• Innovation Culture: Creativity and innovation are encouraged to enhance effectiveness
• Work-Life Balance: Flexible work arrangements to support your lifestyle

Additional Requirements

• Must maintain a well-groomed appearance in line with company appearance requirements as defined in established guidelines
• Must be at least 18 years of age
• Must be able to comply with company attendance requirements as defined in established guidelines
• Must be able to perform work responsibilities from a limited area work station/desk/office region for extended periods of time

Why Join arenaflex?

When you join arenaflex, you're not just accepting a job – you're embarking on a career journey with an organization that values innovation, collaboration, and personal growth. We believe in providing our employees with the same care, respect, and attentive mindset inside the corporation that they are expected to share externally with every customer we serve.

Our commitment to fostering an environment where creativity and innovation thrive sets us apart. We encourage our team members to think outside the box, challenge the status quo, and contribute ideas that drive improvement and efficiency. Here, your voice matters, and your contributions have a direct impact on our success.

We are devoted to offering our employees a strong work environment with equal opportunities for learning and personal growth. As part of our team, you'll have access to resources and support that help you develop professionally and achieve your career goals. Whether you're looking to deepen your expertise in data analytics, expand your skill set in business intelligence, or take on leadership roles, arenaflex provides the platform and opportunities for you to succeed.

How to Apply

If you're ready to take the next step in your career and join a team that's passionate about data-driven excellence, we encourage you to apply today. At arenaflex, we believe that great talent deserves great opportunities, and we can't wait to see what you'll bring to our organization.

Submit your application now and become part of a team that's connecting people to what's important in their lives through friendly, reliable, and innovative solutions. Your future starts here at arenaflex!