[Hiring] Data Analyst @4MATIV Technologies
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Role Description
The Data Analyst will play a key role in crafting intuitive, insightful, and rigorous analyses that inspire and guide our clients to implement new student mobility innovations. The ideal candidate is a quick learner, is self-motivated, is analytically gifted, has a drive for creative optimization, and can manage data processes from beginning to end.
• Lead assigned analysis projects from start to finish, delivering results on time while collaborating effectively with colleagues on resources and timelines.
• Perform in-depth data analysis with self-direction and accuracy, building models to optimize transportation operations and enhance efficiency for school systems.
• Develop and run reusable Python scripts to automate processes and conduct data analysis.
• Deploy clear commenting and process documentation to ensure the code is decipherable and usable by other staff members.
• Create and maintain Excel, Google Sheets and other models for consultative projects and or internal operational use.
• Use business knowledge, code scripts, and software processes to clean, spot-check, and prepare data from various sources.
• Continuously enhance the efficiency and effectiveness of technical task and project delivery, ensuring streamlined processes and minimizing any operational bottlenecks.
• Ensure the accuracy and reliability of technical deliverables through application of rigorous quality control measures and review processes.
• Integrate data from multiple sources to ensure accuracy, consistency, and accessibility across systems.
• Summarize, visualize, and present findings to clients in a clear, concise, and engaging manner.
• Leverage GIS software to produce informative and actionable maps and geospatial insights for both client-facing and internal projects.
• Communicate methodologies, assumptions, results, and the significance of analyses through clear written reports and presentations.
• Collaborate closely with business stakeholders to understand client needs and challenges, translating these into actionable data insights to guide decision-making and strategic initiatives.
• Uphold and contribute to the continuous improvement of company code documentation standards and data governance policies, ensuring data quality, privacy, and security.
Qualifications
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Industrial Engineering, or a related field
• Two (2) years of analytic experience in a relevant field
• Experience in data operations in transportation, logistics, or K-12 Education preferred
Requirements
• Proficiency in Python & SQL
• Proficiency working with data visualization tools such as Microsoft PowerBI
• Proficiency in Microsoft Excel and Google Sheets
• Proficiency working with APIs
• Experience with GIS software
Core Competencies
• User-focus: Maintains consistent focus on the overarching purpose of analyses, ensuring analyses meet user needs while considering the user experience and perspective.
• Self-motivation: Takes initiative, working independently with minimal supervision, setting clear goals, and driving progress.
• Problem-solving: Tackles complex data projects with persistence, creativity, and a strong curiosity to find innovative solutions.
• Attention to details: Effectively manages multiple tasks, prioritizing work to deliver thorough, error-free results on-time.
• Effective communication: Exhibits strong communication skills, both written and verbal, to engage diverse stakeholders clearly and professionally.
Benefits
• Salary Range: $85,000 – $100,000, per year
• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Parental leave
• Vision insurance
Apply Now
Apply Now
Role Description
The Data Analyst will play a key role in crafting intuitive, insightful, and rigorous analyses that inspire and guide our clients to implement new student mobility innovations. The ideal candidate is a quick learner, is self-motivated, is analytically gifted, has a drive for creative optimization, and can manage data processes from beginning to end.
• Lead assigned analysis projects from start to finish, delivering results on time while collaborating effectively with colleagues on resources and timelines.
• Perform in-depth data analysis with self-direction and accuracy, building models to optimize transportation operations and enhance efficiency for school systems.
• Develop and run reusable Python scripts to automate processes and conduct data analysis.
• Deploy clear commenting and process documentation to ensure the code is decipherable and usable by other staff members.
• Create and maintain Excel, Google Sheets and other models for consultative projects and or internal operational use.
• Use business knowledge, code scripts, and software processes to clean, spot-check, and prepare data from various sources.
• Continuously enhance the efficiency and effectiveness of technical task and project delivery, ensuring streamlined processes and minimizing any operational bottlenecks.
• Ensure the accuracy and reliability of technical deliverables through application of rigorous quality control measures and review processes.
• Integrate data from multiple sources to ensure accuracy, consistency, and accessibility across systems.
• Summarize, visualize, and present findings to clients in a clear, concise, and engaging manner.
• Leverage GIS software to produce informative and actionable maps and geospatial insights for both client-facing and internal projects.
• Communicate methodologies, assumptions, results, and the significance of analyses through clear written reports and presentations.
• Collaborate closely with business stakeholders to understand client needs and challenges, translating these into actionable data insights to guide decision-making and strategic initiatives.
• Uphold and contribute to the continuous improvement of company code documentation standards and data governance policies, ensuring data quality, privacy, and security.
Qualifications
• Bachelor’s degree in Computer Science, Data Science, Mathematics, Finance, Industrial Engineering, or a related field
• Two (2) years of analytic experience in a relevant field
• Experience in data operations in transportation, logistics, or K-12 Education preferred
Requirements
• Proficiency in Python & SQL
• Proficiency working with data visualization tools such as Microsoft PowerBI
• Proficiency in Microsoft Excel and Google Sheets
• Proficiency working with APIs
• Experience with GIS software
Core Competencies
• User-focus: Maintains consistent focus on the overarching purpose of analyses, ensuring analyses meet user needs while considering the user experience and perspective.
• Self-motivation: Takes initiative, working independently with minimal supervision, setting clear goals, and driving progress.
• Problem-solving: Tackles complex data projects with persistence, creativity, and a strong curiosity to find innovative solutions.
• Attention to details: Effectively manages multiple tasks, prioritizing work to deliver thorough, error-free results on-time.
• Effective communication: Exhibits strong communication skills, both written and verbal, to engage diverse stakeholders clearly and professionally.
Benefits
• Salary Range: $85,000 – $100,000, per year
• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Parental leave
• Vision insurance
Apply Now
Apply Now