Vendelux
Lead Data Analyst
New York, NY · Junior
Sponsorship not specifiedDetected 166 days ago
SQLData AnalysisData VisualizationStatisticsMarketing AnalyticsExcelLeadershipCommunicationCollaborationProblem SolvingCritical ThinkingMentoringPublic SpeakingAdaptability
About the role
- Events are one of the largest and most impactful marketing channels, yet historically one of the least measurable.
- From identifying the highest ROI conferences to enabling targeted meeting programs, Vendelux helps companies turn events into a predictable and scalable growth engine.
- Your experience defining key business metrics, uncovering impactful trends, and identifying customer insights will enable you to understand and measure product performance and customer retention to power business growth.
Requirements
- Execute tasks independently, with a strong ability to contextualize business performance.
- Demonstrated leadership skills and the ability to thrive in a collaborative team environment.
- Adaptability to a fast-paced and dynamic work environment.
- Previous startup experience or equivalent strongly preferred.
- Not all candidates will check all of the requirements listed above and that's ok! We are open to great people from non-traditional backgrounds.
- Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.
Nice to have
- Define, measure, and monitor KPIs that reflect underlying business dynamics.
- We're early and the expectation of folks joining at this stage is that you'll play a huge part in setting and improving how we work.
- Minimum 5 years of relevant data analytics or business intelligence experience in areas such as marketing analytics, product analytics, or strategy and operations.
- Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business, Finance, Engineering etc.).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong proficiency in analytical tools such as SQL, Excel, Tableau or equivalent, cloud data warehouses.
- Experience applying advanced analytics, statistical analysis, predictive modeling, and data visualization as needed to uncover and communicate insights from data.
- Data model optimization skills to make BI processes more efficient and relevant is preferred.
Visa & Work Authorization
- r, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status
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