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

    • Remote
      • Remote, California, United States
    • Product​

    Job description

    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 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.

    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 an existing database, with a focus on:

      • EVSE-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 fault 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

    Job requirements

    What You Bring

    Required Qualifications

    • Proven experience as a Data Analyst, preferably in technical, operational, or 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.

    • 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 fault 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.

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