ChargerHelp

Compensation

Full 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 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.