[CONTRACT] Data Analyst - EV Charging Reliability & Fault Analytics

About Us

ChargerHelp! Inc., a California-based tech company, offers impactful solutions that power-up the EV ecosystem by providing Reliability as a Service (RaaS), data-driven insights via our EMPWR platform, and Learning & Development to prepare the next generation of EVSE technicians. We pride ourselves on being a trusted partner within our industry. 

In the EVSE landscape, we're not just solving a challenge; we're driving the charge towards a sustainable future. Our mission is crystal clear: maximizing EV charging station uptime to unlock the full potential of mass EV adoption. Through innovation, integrity, and an unwavering commitment to quality and safety, we foster a culture of excellence and trust. If you join us you’ll be part of a dynamic team that’s leading EV reliability. Together, we're not just changing the industry; we’re helping shape the future of transportation and environmental sustainability.

Role Overview

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

You will work with aggregated datasets from multiple industry partners, producing statistical analysis and visualizations that strengthen both technical decision-making and written narratives. This is a fast-turnaround project requiring immediate availability and the ability to deliver high-quality analysis on a tight timeline.

What You’ll Do

Data Extraction & Normalization

• Extract and normalize fault data from existing databases, with a focus on:

  • Electric vehicle-specific charging errors

  • EV charge station-specific charge failures

  • Hardware and software faults

  • Associated error codes and failure modes

• Clean, validate, and organize datasets from multiple contributors and partners.

• Standardize diverse data sources into a unified, analysis-ready format.
  

Statistical Analysis

• Perform statistical analysis on issue occurrence, including:

  • Frequency analysis

  • Histograms and distributions

  • High-occurrence and repeat-failure patterns

• Analyze fault location and attribution, distinguishing issues related to:

  • EVSE hardware

  • EV-side issues

  • Customer/user behavior

  • Back-office systems (e.g., payment authorization, network communication)
    

Insights & Reporting

• Deliver technical insights related to EVSE design robustness and reliability trends relevant to OEMs.

• Identify key trends impacting EV charger uptime and driver experience.

• Produce data reports and summaries highlighting common field faults and systemic issues.
  

Visualization & Narrative Support

• Create clear, compelling visualizations (charts, tables, dashboards) for inclusion in:

  • Product health dashboards

  • Industry and research-style reports

• Collaborate with a writing team by:

  • Providing analytical context

  • Ensuring methodology aligns with the report outline

  • Strengthening the narrative with data-backed insights

What You Bring

Required Qualifications

• Proven and demonstrable experience as a Data Analyst, preferably in technical, operational, electric utility or power distribution infrastructure-focused domains.

• Strong skills in data cleaning, normalization, and statistical analysis.

• Experience creating clear, publication-ready visualizations.

• Ability to synthesize complex datasets into actionable insights for both technical and non-technical audiences.

• Self-started capable of rapidly understanding the product domain.

• Comfortable working independently under tight timelines and delivering results quickly.

  
  

Nice to Have

• Familiarity with EV charging infrastructure, clean energy, or transportation datasets.

• Experience supporting industry reports, research publications, or product health dashboards.

• Understanding of fault classification, reliability engineering, or systems diagnostics.
  

Availability & Timeline

• Immediate start required

• Must have availability to complete the project over the next couple of weeks

• This is a short-term, contract-based engagement with a clearly defined scope and deliverables.

Success in This Role Looks Like

• Provide aggregated analytics focused on high-occurrence EV charging issues.

• Expand coverage of common field faults for product health dashboards.

• Generate actionable technical insights related to EVSE design robustness, fault attribution, and driver experience.