Vantage Point Consulting Inc.

Job Title: Data Analyst – AI & Predictive Modeling for Fleet Operations

Location: Remote

Job Type: Contract

 

Position Summary:

* We are seeking a detail-oriented and forward-thinking Data Analyst to join our Fleet Data Analytics team. This role will focus on developing an AI-driven predictive model aimed at improving data-driven decision-making, optimizing fleet operations, and supporting strategic initiatives.
* As fleet data grows in complexity and volume, this position is critical in helping the organization derive timely, accurate, and actionable insights. You will work with large, multi-source datasets and apply advanced analytics techniques to enhance operational efficiency and planning capabilities across the fleet.

 

Key Responsibilities:

* Design, build, and maintain predictive analytics models using AI and machine learning techniques to support fleet management and strategic decision-making.
* Apply advanced analytics and machine learning techniques to forecast fleet performance, identify operational risks, and support optimization efforts.
* Analyze large datasets from multiple platforms, ensuring data integrity, consistency, and completeness.
* Collaborate with stakeholders across departments to understand business needs and implement data-driven solutions that enhance fleet performance and efficiency.
* Identify patterns, anomalies, and opportunities within fleet data (e.g., utilization, maintenance, fuel consumption, downtime).
* Develop dashboards, reports, and visualizations to communicate insights to technical and non-technical stakeholders.
* Continuously monitor and refine models based on real-world performance, feedback, and evolving business goals.
* Stay current on trends and best practices in AI, data science, and predictive analytics applicable to fleet operations.

 

Qualifications:

* Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
* 3+ years of experience in data analysis, machine learning, or AI model development.
* Proficiency in Python, R, SQL, or equivalent tools for data modeling and analysis.
* Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
* Demonstrated ability to develop and deploy predictive models using regression, time-series forecasting, classification, or clustering.
* Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, or GCP).
* Strong problem-solving and communication skills with the ability to translate analytical insights into strategic recommendations.

 

Preferred Skills:

* Knowledge of fleet operations, transportation logistics, or asset lifecycle management.
* Experience with real-time analytics or streaming data.
* Familiarity with MLOps, automated model deployment, or model monitoring.

Data

Machine learning

Data analytics

Data Science

Operations

Support

Python

Data modeling

Tableau

Analysis

Forecasting

Amazon

Data Visualization

Azure

Statistics

Logistics

Communication Skills

Predictive modeling

Power BI

Regression modelling

Time Series Forecasting

Classification

Clustering

Google Cloud Platform

Data Quality

Data Scientist – Fleet Management/ Fleet Data Analyst – AI & Predictive Modeling/ Fleet Performance Data Analyst (AI & ML Focus)/ Senior Data Analyst – Fleet Optimization & AI