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Contract Data Analyst - EV Charging Reliability & Fault Analytics - Remote

Posted Yesterday
Data Analysis
Contract
USA

Overview

We are seeking a skilled Contract Data Analyst to support a high-priority analytics project focused on EV charging reliability and fault performance. This role will play a critical part in transforming contributor and operational data into meaningful insights that support product health dashboards, EVSE OEM design robustness, and industry-facing reporting.

In Short

  • Extract and normalize fault data from an existing database.
  • Clean, validate, and organize datasets from multiple contributors.
  • Perform statistical analysis on fault occurrence.
  • Deliver technical insights related to EVSE design robustness.
  • Create clear visualizations for product health dashboards.
  • Collaborate with a writing team to provide analytical context.
  • Immediate start required.
  • This is a short-term, contract-based engagement.

Requirements

  • Proven experience as a Data Analyst.
  • Strong skills in data cleaning, normalization, and statistical analysis.
  • Experience creating publication-ready visualizations.
  • Ability to synthesize complex datasets into actionable insights.
  • Comfortable working independently under tight timelines.
  • Familiarity with EV charging infrastructure is a plus.

Benefits

  • Opportunity to work on impactful projects in the EV ecosystem.
  • Be part of a dynamic team focused on sustainability.
  • Flexible remote working arrangement.
ChargerHelp logo

ChargerHelp

ChargerHelp! Inc. is a California-based technology company dedicated to enhancing the electric vehicle (EV) ecosystem. With a mission to drive sustainability, ChargerHelp! offers the EMPWR platform, which provides Reliability as a Service (RaaS) to ensure the smooth operation of EV charging stations through data-driven insights. As a dynamic and mission-driven startup, the company values innovation, integrity, and quality, fostering a collaborative environment where team members can significantly impact the future of transportation and environmental sustainability.

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