Experienced Full Stack Data Analyst Intern – Customer Service & Logistics Insights

At arenaflex, we're on a mission to revolutionize the way we approach data-driven decision-making in the Customer Service & Logistics (CS&L) space. As a key member of our dynamic team, you'll have the opportunity to work with cutting-edge tools and technologies to drive business growth, improve customer satisfaction, and optimize logistics operations. If you're a motivated and detail-oriented individual with a passion for data analysis, we want to hear from you!

About arenaflex

arenaflex is a leading provider of innovative solutions for the CS&L industry. Our team of experts is dedicated to delivering exceptional results through data-driven insights, strategic partnerships, and a customer-centric approach. We're committed to fostering a culture of collaboration, innovation, and continuous learning, where our employees can grow and thrive.

Job Summary

As a CS&L Data Analyst Intern, you'll play a critical role in supporting our team with data analysis, reporting, and visualization. You'll work closely with cross-functional teams to develop and manage data sets, create reports and dashboards, and provide actionable insights to drive business decisions. This is an exciting opportunity to gain hands-on experience with industry-leading tools and technologies, develop your analytical skills, and contribute to the growth and success of arenaflex.

Responsibilities

* Develop and manage data sets for analytical projects, ensuring accuracy, completeness, and quality.

• Use SQL to pull and aggregate data from various sources, including SAP and other analytical tools.
• Conduct data cleaning, data merging, data architecture review, and data quality control, creating documentation for each data request.
• Help develop reports, analyses, and visualizations using industry-leading tools and technologies.
• Train and incorporate feedback from end-users on new reports and dashboards.
• Collaborate with different members of the CS&L team on reporting and automating analytical needs.
• Work cross-functionally with different teams on data sets, inputs, and outputs.

Requirements

* Minimum 3 upper-level college classes in data analytics, including data analysis and forecasting, data mining and predictive analytics, system analysis and design, and data visualization in business or similarly related classes.

• Experience working in databases like Snowflake, Big Query, etc.
• Experience in SQL programming: ability to read/write complex SQL queries to analyze data, investigate systemic defects, and validate data quality.
• Working knowledge of data modeling, data warehousing, and ability to access relational and multidimensional databases.
• Strong desire to serve the customer, identify and resolve needs, and follow up when necessary.
• Ability to leverage knowledge of numerous data sources, including SAP, external data, and existing internal reports.
• Excellent written and verbal communication skills and interpersonal skills.
• Ability to learn and work in a changing environment with minimal supervision.
• Demonstrated analytical, organizational skills, critical thinking, and attention to detail.
• A strong willingness to learn and adapt to new priorities as they come.
• Familiarity with how to access, input, and analyze data in SAP.
• Proficiency with planning systems and Google and Microsoft Office products, including Excel, Google Sheets, Google presentations, etc.

Nice-to-haves

* Familiarity with data visualization tools.

• Experience with project management tools.

Benefits

* Salary Range: $22.50 - $30.00 USD

• Medical, Dental, Vision, Basic Life Insurance, Accidental Death & Dismemberment, and Disability insurance plans
• 401(k) plan with company matching contributions
• Minimum of 15 days of vacation/PTO leave annually
• Minimum of 13 paid/floating holidays annually
• Minimum of 40 hours of paid sick leave annually
• Up to eight weeks of paid parental leave and 12 weeks of unpaid leave

What We Offer

* A dynamic and supportive work environment with opportunities for growth and development.

• Collaborative teams and a culture of innovation and continuous learning.
• Competitive salary and benefits package.
• Opportunities for professional growth and advancement.
• Flexible work arrangements, including remote work options.

How to Apply

If you're a motivated and detail-oriented individual with a passion for data analysis, we want to hear from you! Please submit your application, including your resume and a cover letter, through our website. We can't wait to hear from you! Apply Job! Apply for this job