Customer Data Analyst

Netradyne
harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

We are seeking a skilled Data Analyst with expertise in Tableau, PowerPoint, and data visualization. Experience in transportation, logistics, supply chain or related industries or operations will be a great advantage. The ideal candidate will have a strong background in refining, scaling, and automating business case and ROI modeling processes. This role is critical in supporting data-driven decision-making by analyzing and presenting insights that drive business strategies.

Key Responsibilities:

• Develop, refine, and automate business case and ROI models to improve efficiency and accuracy.
• Create, maintain, and optimize Tableau dashboards for reporting and data visualization.
• Analyze transportation data to identify trends, performance metrics, and opportunities for process improvement.
• Collaborate with cross-functional teams to gather requirements and align analysis with business goals.
• Prepare compelling presentations using PowerPoint to communicate findings, trends, and actionable insights to stakeholders.
• Identify data discrepancies, implement quality control measures, and recommend system or process enhancements.
• Support strategic initiatives by providing in-depth data analysis and forecasting models.
• Continuously evaluate and scale analytics solutions to meet evolving business needs.
• Stay updated on best practices in data analytics, visualization, and transportation operations.

Qualifications:

• Education: Bachelor's degree in Data Science, Business Analytics, Computer Science, Transportation Management, or a related field.
• Experience:
• 3+ years in a data analyst or related role.
• Demonstrated experience with Tableau for creating and managing dashboards.
• Proficiency in PowerPoint for high-impact presentations.
• Familiarity with transportation industry data, processes, or systems.
• Technical Skills:
• Advanced proficiency in Excel (including VBA and macros) and data modelling tools (SQL etc).
• Strong knowledge of Tableau for data querying and manipulation.
• Understanding of automation tools and frameworks.
• Soft Skills:
• Excellent analytical and problem-solving abilities.
• Strong written and verbal communication skills.
• Ability to manage multiple projects and meet tight deadlines.
• Detail-oriented with a commitment to data accuracy and quality.
• Ability to steer data-backed presentations & insights for both internal and external stakeholders.

Preferred Qualifications:

• Experience in cost analysis, logistics, or supply chain optimization.
• Knowledge of advanced statistical methods and predictive modeling.
• Familiarity with transportation planning or fleet management software.

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.
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