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Remote Data Analyst – Transportation Analytics (SQL, Tableau, Python) – arenaflex

Remote role Full-time Open position
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Why Join arenaflex?

At arenaflex, we are redefining the future of transportation logistics through data‑driven insights. Our Transportation Analytics crew operates at the intersection of technology, supply‑chain strategy, and operational execution, empowering teams across the organization to make faster, smarter decisions. As a remote‑first company, we celebrate flexibility, collaboration, and continuous learning. If you thrive on turning chaotic data into clear, actionable intelligence, you’ve found your next home.

Position Overview

The Remote Data Analyst role is a cornerstone of arenaflex’s Transportation Analytics crew. You will partner with Operations, Finance, and Product teams to ingest, clean, model, and visualize massive, multi‑source datasets. Your work will directly influence day‑to‑day transportation planning, cost optimization, and service reliability—helping arenaflex keep goods moving efficiently across the nation.

Key Responsibilities

  • Data Integration & ETL Development: Design, build, and maintain robust ETL pipelines that pull data from disparate sources (databases, APIs, CSV feeds) into unified, high‑quality tables ready for analysis.
  • Advanced SQL Modeling: Write complex, performant SQL queries (joins, sub‑queries, window functions) to extract insights while preserving data integrity across 2‑4 years of experience.
  • Dashboard Creation & UX Design: Craft interactive Tableau dashboards that tell compelling stories, incorporate best‑in‑class user‑experience principles, and enable stakeholders to explore data independently (1‑2 years of Tableau experience required).
  • Business Problem Solving: Translate operational challenges into analytical questions, conduct root‑cause analysis, and present actionable recommendations that align with transportation and supply‑chain objectives.
  • Cross‑Functional Collaboration: Engage regularly with Operations, Finance, and Product teams to validate data accuracy, define metrics, and ensure timely delivery of insights.
  • Automation & Scripting: Leverage Python (or other scripting languages) to automate repetitive reporting tasks, generate alerts for outliers, and streamline data‑quality checks.
  • Documentation & Knowledge Sharing: Maintain clear documentation of data pipelines, analytical methods, and dashboard logic. Mentor junior analysts and serve as a Subject Matter Expert within the crew.

Essential Qualifications

  • Educational Background: Bachelor’s degree in Business Analytics, Data Science, Computer Science, Supply‑Chain Management, or a related field.
  • SQL Mastery: Proven ability to manage multi‑table queries, optimize performance, and uphold data quality for at least 2‑4 years.
  • Tableau Expertise: Demonstrated experience designing user‑centric visualizations, with a portfolio of dashboards created over the past 1‑2 years.
  • Business Fluency: Strong understanding of transportation or broader supply‑chain operations, with the capability to diagnose and articulate business problems.
  • Communication Skills: Excellent verbal and written communication, capable of presenting technical findings to non‑technical audiences and influencing decision‑makers.
  • Collaborative Mindset: Ability to work effectively across functional teams, manage stakeholder expectations, and drive consensus.

Preferred Skills & Experience

  • Advanced proficiency in Python for data automation, statistical analysis, or machine‑learning prototyping.
  • Hands‑on experience with data‑preparation tools such as Alteryx, KNIME, Tableau Prep, or R.
  • Background in e‑commerce logistics, parcel delivery, or freight transportation analytics.
  • Familiarity with cloud data platforms (e.g., Snowflake, Redshift, BigQuery) and modern data‑warehousing concepts.
  • Experience with version control (Git) and agile project management methodologies.

Core Competencies for Success

  • Analytical Rigor: Ability to dissect large, messy datasets and surface meaningful patterns without losing sight of business context.
  • Problem‑Solving Orientation: Proactive approach to identifying root causes and recommending data‑driven solutions.
  • Detail‑Oriented Execution: Commitment to accuracy, data integrity, and thorough documentation.
  • Adaptability: Comfort working in a fast‑changing environment, handling shifting priorities, and learning new tools quickly.
  • Passion for Continuous Learning: Eagerness to stay abreast of emerging analytics technologies, industry trends, and best practices.

Compensation, Benefits, & Perks

arenaflex offers a competitive hourly rate ranging from $20‑$30 per hour**, reflective of experience and expertise. In addition to base pay, you will be eligible for performance‑based incentive awards that recognize and reward high‑impact contributions.

Our comprehensive benefits package includes:

  • 401(k) plan with company match.
  • Employee stock purchase and equity participation options.
  • Paid Time Off (PTO) and flexible holiday schedule.
  • Generous parental and maternity leave policies.
  • Health, dental, and vision insurance with multiple coverage tiers.
  • Wellness stipend covering gym memberships, virtual fitness classes, and mental‑health resources.
  • Professional development budget for certifications, conferences, and coursework.
  • Remote‑work allowance for home office setup and internet subsidies.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by your ambition and curiosity. As you master the core analytics stack, you can progress into senior analyst, analytics lead, or data‑science specialist roles. The company encourages lateral moves into product analytics, supply‑chain strategy, or even managerial tracks, supported by mentorship programs and cross‑functional project rotations.

Our Learning & Development hub offers:

  • Monthly “Analytics Deep‑Dive” webinars featuring internal and external experts.
  • Access to online learning platforms (Coursera, Udacity, DataCamp) for upskilling in Python, machine learning, and cloud analytics.
  • Quarterly hackathons that spark innovation and provide a sandbox for experimenting with new data‑visualization techniques.

Culture & Work Environment

arenaflex prides itself on an inclusive, collaborative culture where every voice matters. Our remote‑first policy means you can work from anywhere in the United States, while still feeling connected through weekly virtual stand‑ups, quarterly in‑person retreats, and vibrant digital community spaces. We celebrate diversity, champion teamwork, and foster an environment where curiosity is rewarded.

How to Apply

If you are ready to harness data to transform transportation operations and thrive in a forward‑thinking, remote‑centric organization, we want to hear from you. Click the link below to submit your application, resume, and a portfolio of Tableau dashboards or SQL projects that showcase your expertise.

Apply Now – Join arenaflex Today!

Closing Statement

Data is the lifeblood of modern logistics, and at arenaflex, you will be at the pulse of every critical decision. Bring your analytical mindset, technical skill set, and passion for solving complex business problems, and together we will drive the next wave of transportation excellence. Apply today and become a catalyst for change at arenaflex.

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