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

About UsChargerHelp! 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 OverviewWe 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 DoData Extraction & NormalizationExtract and normalize fault data from an existing database, with a focus on:EVSE-specific charge failuresHardware and software faultsAssociated error codes and failure modesClean, validate, and organize datasets from multiple contributors and partners.Standardize diverse data sources into a unified, analysis-ready format.Statistical AnalysisPerform statistical analysis on fault occurrence, including:Frequency analysisHistograms and distributionsHigh-occurrence and repeat-failure patternsAnalyze fault location and attribution, distinguishing issues related to:EVSE hardwareEV-side issuesCustomer/user behaviorBack-office systems (e.g., payment authorization, network communication)Insights & ReportingDeliver 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 SupportCreate clear, compelling visualizations (charts, tables, dashboards) for inclusion in:Product health dashboardsIndustry and research-style reportsCollaborate with a writing team by:Providing analytical contextEnsuring methodology aligns with the report outlineStrengthening the narrative with data-backed insightsWhat You BringRequired QualificationsProven 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 HaveFamiliarity 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 & TimelineImmediate start requiredMust have availability to complete the project over the next couple of weeksThis is a short-term, contract-based engagement with a clearly defined scope and deliverables.Success in This Role Looks LikeProvide 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.