About the role
At ELYON, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We are looking to hire a Senior Data Analyst to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis. You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. Requirements: Responsibilities
- Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions
- Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels.
- Go beyond standard metrics to uncover the "why" behind performance.
- Build, maintain, and improve dashboards and reports that track key marketing KPIs.
- Ensure that stakeholders have access to timely and accurate data to inform their decisions.
- Design experiments to test hypotheses and analysis to measure business impact
- Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics
- Translate insights into a cohesive narrative and present technical information to non-technical stakeholders
- Act as a dedicated analytical partner to marketing managers (e.g., Brand, Product Marketing, Growth).
- Provide the data and insights needed to refine strategies, set realistic goals, and execute effective campaigns.
Experience:
- Degree (or related work experience) with a focus in analytics, statistics, economics, marketing, or other quantitative fields
- 5+ years of experience in a marketing data analytics role.
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience with A/B testing is preferred
- Experience in Marketing Models like Multi-Media Modeling / Attribution Modeling is a plus
- Advanced proficiency in Excel/Google Sheets for data analysis and modeling.
- Proficiency in a data visualization tool like Tableau, Looker, or similar.
- Experience with Python or R for data analysis is a strong plus.
- Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights.
- Excellent communication skills, with a proven ability to present complex data and findings to a variety of stakeholders in a clear and compelling way.
- A strong attention to detail and a commitment to data accuracy and integrity. Ability to effectively collaborate with cross-functional partners, manage multiple competing priorities, and drive projects to completion.
About the role
At ELYON, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization. We are looking to hire a Senior Data Analyst to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis. You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. Requirements: Responsibilities
- Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions
- Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels.
- Go beyond standard metrics to uncover the "why" behind performance.
- Build, maintain, and improve dashboards and reports that track key marketing KPIs.
- Ensure that stakeholders have access to timely and accurate data to inform their decisions.
- Design experiments to test hypotheses and analysis to measure business impact
- Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics
- Translate insights into a cohesive narrative and present technical information to non-technical stakeholders
- Act as a dedicated analytical partner to marketing managers (e.g., Brand, Product Marketing, Growth).
- Provide the data and insights needed to refine strategies, set realistic goals, and execute effective campaigns.
Experience:
- Degree (or related work experience) with a focus in analytics, statistics, economics, marketing, or other quantitative fields
- 5+ years of experience in a marketing data analytics role.
- Proficiency in SQL - able to write structured and efficient queries on large data sets
- Experience with A/B testing is preferred
- Experience in Marketing Models like Multi-Media Modeling / Attribution Modeling is a plus
- Advanced proficiency in Excel/Google Sheets for data analysis and modeling.
- Proficiency in a data visualization tool like Tableau, Looker, or similar.
- Experience with Python or R for data analysis is a strong plus.
- Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights.
- Excellent communication skills, with a proven ability to present complex data and findings to a variety of stakeholders in a clear and compelling way.
- A strong attention to detail and a commitment to data accuracy and integrity. Ability to effectively collaborate with cross-functional partners, manage multiple competing priorities, and drive projects to completion.