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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and analytics, with a strong focus on data modeling, ETL processes, and delivering actionable insights through advanced analytics solutions. Proven ability to collaborate with stakeholders and lead data projects that align with business objectives.
Highest-signal resume keywords
Data EngineeringAnalytics Solutions DeliverySQL ProficiencyAzure DatabricksData Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingETL ProcessesSQLData IngestionData TransformationData OrchestrationData IntegrationData TestingData MonitoringData Production Support
Soft Skills
LeadershipMentoringCoachingCommunication
Tools & Technologies
Azure DatabricksMicrosoft Fabric
Industry Keywords
Business IntelligenceData AnalyticsData ArchitectureStakeholder EngagementData Pipelines
Tech Stack
Tools & technologiesAzureETLSQL
About the role
Key responsibilities & impact- Partner with Finance and business stakeholders to understand challenges, identify opportunities and develop data-driven solutions
- Design and deliver analytics solutions providing actionable insights and measurable business value
- Serve as a subject matter expert for assigned products, platforms or capabilities
- Lead stakeholder discussions to evaluate requirements, define priorities and align solution delivery with business objectives
- Oversee design and implementation of data pipelines for extracting, transforming and integrating data from multiple sources
- Collaborate with data architects and engineering teams on scalable, sustainable data architectures
- Optimize data platforms and storage solutions for performance, reliability and cost efficiency
- Present recommendations, roadmap updates and strategic insights to business leaders and stakeholders
- Coordinate with offshore development resources on delivery, knowledge sharing and continuous improvement
- Promote analytics, AI and modern data practices across the organization
- Evaluate emerging technologies and recommend enhancements to data and analytics capabilities
Requirements
What you’ll need- Bachelor's degree in Business, Finance, Information Systems, Computer Science, Data Science or a related field or relevant experience
- 5-7+ years of experience in data engineering, analytics, business intelligence or related disciplines
- Experience partnering with business stakeholders to define requirements and deliver analytics solutions
- Experience leading or supporting enterprise data, analytics and reporting initiatives
- Strong proficiency in data modeling, ETL processes and SQL
- Hands-on experience developing or delivering enterprise data and analytics solutions using Azure Databricks and/or Microsoft Fabric
- Strong knowledge of data ingestion, transformation, orchestration, integration, modeling, testing, monitoring and production support
- Experience managing data projects and coordinating delivery across technical and business teams
- Ability to analyze complex data sets and develop insights supporting strategic business decisions
- Demonstrated leadership experience, including mentoring, coaching or coordinating team members and delivery resources
- Strong verbal and written communication skills for technical and non-technical audiences
Benefits
Comp & perks- Medical and dental coverage
- Pension and 401(k) plans
- Flexible vacation policy
- EY Paid Holidays
- Winter/Summer breaks
- Personal/Family Care leave
- Other leaves of absence
- Professional growth opportunities
- Inclusive culture
- Compensation based on performance and recognized value