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Magenta Ev Solutions
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Data Analyst - Logistics Operations

Data Analyst - Logistics Operations

Magenta Ev Solutions

8 - 10 years

2 - 6 Lacs

mumbai

Posted:3 days ago| Platform:

Apply

Skills Required

data analysis data management machine learning data quality asset management business solutions analytics sql python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the role -

We are seeking a seasoned Senior Data Analyst with 8-10 years of experience to join our innovative

team at Magenta Mobility. You will play a critical role in analyzing and leveraging data to enhance

cross-utilization of our EV fleet, maximize yield per deployed asset, and develop strategies for seamless

operations. The ideal candidate is a strategic thinker with deep technical expertise, exceptional problem-

solving skills, and a passion for using data to track vehicle performance, prevent breakdowns, and drive

efficiency in the EV logistics sector.

Responsibilities -

Design and develop AI-driven solutions for EV fleet cross-utilization challenges, including

optimizing vehicle sharing across routes, clients, and time slots to maximize yield per asset.

Handle and analyze data related to cross-utilization of vehicles, identifying patterns in usage,

downtime, and efficiency to inform asset deployment strategies.

Advise and lead prioritization of research areas supporting data management, governance, and

optimization of EV fleet performance, with a focus on reducing breakdowns through predictive

analytics.

Collaborate with business and corporate functions to identify and co-develop solutions focused on

logistics challenges, such as demand forecasting, route optimization, and strategies to ensure

smooth operations across the fleet.

Analyze large datasets to uncover trends, patterns, and insights that improve EV fleet efficiency,

increase yield per deployed asset, track vehicle breakdowns, and propose actionable strategies for

preventive maintenance and operational improvements.

Build and maintain critical data pipelines and architectures across technical areas to support

Magenta Mobilitys business objectives in EV logistics and asset management.

Communicate complex findings and recommendations such as cross-utilization metrics and

breakdown risk assessments to technical and non-technical stakeholders through compelling

data visualizations and reports.

Location & Commitments -

Employment type : Full-time, Permanent

Location : Navi Mumbai

Working days : Monday to Friday + alternate Saturdays

Candidate requirements

Experience & Qualifications Required

Masters Degree from B school.

8-10 years of professional experience in data science or a related role, preferably in logistics,

transportation, or fleet management.

Proven experience in deploying and managing machine learning models in production

environments, particularly for real-time fleet data and asset utilization.

Strong ability to monitor ML models in production, addressing model performance, data quality

issues, and anomalies related to vehicle breakdowns or utilization inefficiencies.

Working knowledge of security best practices and compliance standards for Machine Learning

systems in operational contexts.

Experience with infrastructure optimization techniques to enhance performance and efficiency in

logistics and fleet data systems.

Development of REST APIs using frameworks such as Flask or FastAPI for seamless integration

into business solutions, including fleet tracking dashboards.

Required Technical Skills

Machine Learning & AI: Proven experience with a wide range of machine learning algorithms and

deep learning techniques, applied to predictive maintenance and asset optimization.

Programming Languages: Expertise in Python.

Data Science Libraries: Hands-on experience with Pandas, Scikit-learn, and deep learning

frameworks like TensorFlow.

Cloud Platforms: Practical knowledge of at least one major cloud provider (Azure, AWS, GCP),

including their data science and machine learning services for handling fleet telemetry data.

Database & Big Data: Familiarity with SQL and big data technologies (e.g., Spark, Databricks) for

processing large-scale EV utilization datasets.

Data Analysis & Visualization: Conduct in-depth data analysis on cross-utilization metrics,

providing actionable insights on yield per asset, breakdown trends, and creating compelling

data visualizations to communicate findings to stakeholders.

At Magenta, we are dedicated to DIVERSITY & EQUAL opportunities. We value each unique individual,

fostering innovation through inclusion.

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Magenta Ev Solutions

Green Technology / Electric Vehicles

Tech City

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Data Analyst - Logistics Operations