{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/automotive-data-analysis"},"x-facet":{"type":"skill","slug":"automotive-data-analysis","display":"Automotive Data Analysis","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. 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As a Senior Data Analyst, you will lead timely analysis for evolving, high-priority stakeholder questions, clarify problem statements, align on definitions, and deliver accurate findings with supporting evidence.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Rapid Investigations &amp; Stakeholder Support: Lead timely analysis for evolving, high-priority stakeholder questions; clarify problem statements, align on definitions, and deliver accurate findings with supporting evidence.</li>\n<li>Time-Series &amp; Sequence Analysis (BigQuery): Analyze time-ordered event/telemetry data at scale to establish context around key outcomes, identify precursor signals, and measure the frequency of specific event sequences.</li>\n<li>Advanced SQL Development: Write efficient, well-structured SQL for analytical workflows, including heavy use of window functions for sequencing, sessionization, and “leading up to” / “following” event context.</li>\n<li>Relational Data Analysis (SQL Server): Analyze non-time-series operational datasets in SQL Server; join across tables, validate definitions, and reconcile findings with event-based analytics where applicable.</li>\n<li>Data Validation &amp; Hypothesis Development: Assess data quality and result validity, identify anomalies, form and test hypotheses, and iterate analyses as new information emerges.</li>\n<li>Multi-Source Data Integration: Integrate and reason across multiple data sources to provide a coherent view of what happened and under what conditions.</li>\n<li>Log Pattern Tool Support (Rules &amp; Execution): Work with stakeholders to define detection requirements, author and refine rule logic for our log-pattern analysis tool, execute investigations, and summarize findings along with recommended rule improvements.</li>\n<li>Comprehensive Reporting: Deliver outputs ranging from concise executive summaries to detailed technical write-ups that document methods, assumptions, and contributing factors.</li>\n<li>Cross-Functional Collaboration: Work closely with engineering, product, and process-improvement stakeholders (including Six Sigma/Black Belt practitioners) to frame questions, define metrics, and support structured root-cause analysis efforts.</li>\n<li>Executive Communication: Communicate complex findings calmly and clearly in high-visibility settings; distinguish evidence from hypotheses and avoid premature conclusions.</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>A Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.</li>\n<li>Minimum 3 years experience in data analysis, including time-series/event correlation and relational (non-time-series) analysis.</li>\n<li>Expert use of SQL, including analytical/window functions, with BigQuery and SQL Server (or equivalent relational database) experience.</li>\n<li>Demonstrated ability to identify anomalies, validate assumptions, and use data to test hypotheses and refine problem statements.</li>\n<li>Minimum 5 years of experience in visualization/reporting tools such as Power BI or Looker Studio.</li>\n</ul>\n<p>Preferred qualifications include:</p>\n<ul>\n<li>A Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.</li>\n<li>Familiarity with structured problem-solving / continuous improvement approaches (e.g., Six Sigma, DMAIC), and comfort collaborating with Black Belt–level stakeholders.</li>\n<li>Proficiency in Python (Pandas, NumPy) or R for analysis and workflow automation.</li>\n<li>Knowledge of infotainment and vehicle systems, or experience in automotive data analysis.</li>\n<li>Experience with Google Cloud Platform (GCP) data services beyond BigQuery.</li>\n<li>Experience with data transformation tools such as dbt.</li>\n<li>Familiarity working with cloud infrastructure, DevOps, or embedded teams in cross-functional environments.</li>\n<li>Effective written and verbal communication skills, including the ability to tailor explanations for both technical and non-technical audiences.</li>\n<li>Ability to manage shifting priorities and deliver accurate work on tight timelines.</li>\n</ul>\n<p>The expected annual salary range for this Ford of Canada position is $85,000.00 - $135,000.00 and individuals may be eligible to participate in our Annual Compensation bonus program.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_feec74b2-210","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ford of Canada","sameAs":"https://www.careers.ford.com","logo":"https://logos.yubhub.co/careers.ford.com.png"},"x-apply-url":"https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62284","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$85,000.00 - $135,000.00","x-skills-required":["BigQuery","SQL Server","SQL","Time-series analysis","Sequence analysis","Data validation","Hypothesis development","Multi-source data integration","Log pattern tool support","Comprehensive reporting","Cross-functional collaboration","Executive communication"],"x-skills-preferred":["Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field","Six Sigma, DMAIC","Python (Pandas, NumPy)","R","Infotainment and vehicle systems","Automotive data analysis","Google Cloud Platform (GCP) data services","Data transformation tools (dbt)","Cloud infrastructure","DevOps","Embedded teams","Effective written and verbal communication skills"],"datePosted":"2026-04-24T12:18:49.444Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Waterloo"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"BigQuery, SQL Server, SQL, Time-series analysis, Sequence analysis, Data validation, Hypothesis development, Multi-source data integration, Log pattern tool support, Comprehensive reporting, Cross-functional collaboration, Executive communication, Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field, Six Sigma, DMAIC, Python (Pandas, NumPy), R, Infotainment and vehicle systems, Automotive data analysis, Google Cloud Platform (GCP) data services, Data transformation tools (dbt), Cloud infrastructure, DevOps, Embedded teams, Effective written and verbal communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":85000,"maxValue":135000,"unitText":"YEAR"}}}]}