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Capgemini

Senior Reporting & Analytics Lead – ADAS

Capgemini

. Own and continuously improve reporting, analytics, and KPI management across a global ADAS data acquisition program .

Posted 9/18/2026full-timeRemote • MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced expertise in Reporting, Analytics, and Business Intelligence, with a strong focus on KPI management and data-driven decision-making in Automotive and ADAS environments. Proficient in developing dashboards and automated reports to translate customer requirements into actionable insights.

Highest-signal resume keywords
Power BI ExpertiseSQL ProficiencyData Modeling SkillsStakeholder ManagementAdvanced English Communication

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ReportingAnalyticsBusiness IntelligencePerformance ManagementData Quality MetricsStatisticsCSV ProcessingJSON Processing
Soft Skills
Customer-Facing SkillsData StorytellingPresentation Skills
Tools & Technologies
ExcelElasticSearchKibanaLogstashAWS OpenSearchDynamoDB
Industry Keywords
AutomotiveADASKPI ManagementData Acquisition

Tech Stack

Tools & technologies
AWSDynamoDBElasticSearchLogstashSQL

About the role

Key responsibilities & impact
  • Own and continuously improve reporting, analytics, and KPI management across a global ADAS data acquisition program
  • Define, monitor, and optimize operational, data quality, delivery, and financial KPIs
  • Develop dashboards, automated reports, and performance tracking solutions for project and customer stakeholders
  • Analyze operational data, driver feedback, and issue logs to identify trends, risks, and improvement opportunities
  • Translate customer requirements into actionable insights, executive reporting, and data-driven recommendations

Requirements

What you’ll need
  • 5+ years of experience in Reporting, Analytics, Business Intelligence, or Performance Management
  • Strong knowledge of Automotive and ADAS environments
  • Advanced expertise in Power BI, Excel, SQL, and data modeling
  • Experience with ElasticSearch, Kibana, Logstash, AWS OpenSearch, and DynamoDB
  • Knowledge of statistics, ML data-quality metrics, data engineering fundamentals, and CSV/JSON processing
  • Strong customer-facing and stakeholder management capabilities
  • Excellent data storytelling and presentation skills
  • Advanced English communication skills

Benefits

Comp & perks
  • Contribute to building a better future for people, planet, and society
  • Thrive in a diverse, respectful, and inclusive environment
  • Continuous learning through internal academies, certifications, and mentorship
  • Active employee networks promoting diversity, equity and inclusion, including OutFront, CapAbility, and Women@Capgemini
  • Fun and Team spirit culture