Senior Data Analyst, OnStar Product Engagement

설명

The Role

The Senior Data Analyst turns complex data into clear insights that improve business decisions. This role partners with stakeholders to clarify business questions, identify the right data sources, analyze performance drivers, and translate findings into practical recommendations. Using SQL, Databricks, Python, visualization tools, and strong business judgment, the Senior Data Analyst builds trusted reporting, monitors KPIs, investigates trends and root causes, and helps business teams act with greater speed and confidence.

What You’ll Do

• Analyze large, complex datasets to identify trends, anomalies, risks, opportunities, and performance drivers that inform business decisions.

• Translate ambiguous business questions into structured analytical plans, including hypotheses, KPI definitions, data requirements, and success measures.

• Use advanced SQL and Data Bricks to query, join, transform, validate, and reconcile data across multiple sources and business systems.

• Leverage Databricks, Python, and similar analytics platforms to perform data wrangling, automate repeatable analyses, and support scalable performance measurement.

• Investigate unexpected metric movements, data quality issues, and reporting discrepancies by validating source logic, transformations, and assumptions.

• Build dashboards, reports, scorecards, and self-service analytics tools that make KPIs, trends, and business performance easy to understand and act on.

• Apply data visualization and storytelling best practices to create clear executive summaries, intuitive dashboards, and actionable insight narratives.

• Partner with business stakeholders to clarify goals, decision needs, pain points, and priorities, then translate them into practical analytics solutions.

• Collaborate with data engineering and platform teams to define source data requirements, transformation logic, semantic model needs, and data quality expectations.

• Communicate findings to technical and non-technical audiences with clear recommendations, business implications, and next steps.

Your Skills & Abilities (Required Qualifications)  

• Bachelor’s degree in Business Analytics, Data Science, Statistics, Information Systems, Computer Science, Engineering, or a related field.

• 6+ years of experience in data analytics, business intelligence, product analytics, or a related analytical role.

• Experience leveraging AI-enabled tools to accelerate data analysis, improve analytical productivity, generate hypotheses, automate repetitive tasks, and enhance insight generation while applying sound judgment to validate outputs.

• Advanced SQL experience, including querying, joining, transforming, and validating large, complex datasets across multiple sources.

• Hands-on experience using analytics platforms such as Databricks, Python, or similar tools to perform data analysis, automation, and recurring performance measurement.

• Experience building dashboards, reports, scorecards, or semantic models using tools such as Power BI, Tableau, Looker, or similar visualization platforms.

• Strong analytical problem-solving skills, including the ability to identify trends, anomalies, root causes, risks, opportunities, and performance drivers.

• Experience translating ambiguous business questions into structured analyses, KPI definitions, data requirements, and actionable recommendations.

• Demonstrated ability to partner with business stakeholders, understand decision needs, and communicate insights clearly to technical and non-technical audiences.

• Experience validating data quality, reconciling discrepancies, documenting assumptions, and ensuring reporting outputs are trusted and repeatable.

• Strong written and verbal communication skills, with the ability to simplify complex findings into executive-ready summaries and practical next steps.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Operates as a strategic thought partner, not just a report builder, by understanding the business context behind every request and proactively identifying better questions, sharper metrics, and more meaningful ways to measure success.

• Connect data to decisions by clearly explaining what the numbers mean, why they matter, what trade-offs exist, and which actions stakeholders should consider next.

• Anticipates stakeholder needs before they are explicitly requested by spotting recurring questions, automating repeatable insights, and creating dashboards that reduce manual follow-up and improve decision speed.

• Builds trust in the data by challenging assumptions, validating definitions, documenting logic, and ensuring stakeholders understand the source, limitations, and appropriate use of each metric.

• Simplifies complexity by turning messy data, unclear requirements, and competing priorities into clean analysis, focused storytelling, and practical recommendations.

• Raises the quality of analytics across the team by sharing best practices, mentoring others, improving dashboard standards, and helping create consistent ways of defining, measuring, and communicating performance.

• Demonstrates strong ownership by following problems through resolution, ensuring insights are acted on, and continuously improving reports and dashboards based on stakeholder feedback and business impact.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.