Vendelux is transforming how companies discover, evaluate, and maximize the impact of events.

Event marketers are the driving force behind pipeline and brand — yet events remain one of the least optimized and most opaque marketing channels. Vendelux changes that. We provide the system of record for event marketing, giving teams the data and insights they need to make smarter, more strategic decisions.

Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth companies identify where their ideal customers will be, maximize ROI, and turn events into a scalable growth channel. Customers often describe Vendelux as an event marketer’s dream. A key part of this is our growing network of event organizer partnerships — where organizers share first-party attendee and sponsorship data, and in return gain access to valuable market insights.

In addition, Vendelux Meetings helps customers turn event insights into action — using AI to identify high-value attendees and automatically book 1:1 meetings with the right prospects at conferences. This allows teams to maximize pipeline generation and make every event materially more impactful.

Founded in 2021, Vendelux is a Series A SaaS company backed by leading investors including FirstMark, with a recent $14M round. Our team brings experience from companies like Bain, ZoomInfo, Airbnb, FanDuel, Shutterstock, Compass and more.

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Vendelux is seeking a Lead Data Analyst to drive and execute the strategic analytics roadmap for the company. Reporting into the Head of Data & AI, you will be a critical partner to executives and business teams to recommend data driven solutions and strategic opportunities, working collaboratively to make data actionable. 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. Your technical skills in building data solutions, including data warehousing, data analysis, predictive analytics, and data visualization will help us develop a strong foundation for analytics at the company.

Scope of Responsibilities

Use data to generate actionable recommendations to optimize performance and drive business results.
Define, measure, and monitor KPIs that reflect underlying business dynamics. Develop dashboards to track progress towards key results.
Design and build data models to capture key information necessary for business insights by integrating data from various sources.
Work with engineering and business teams to understand data models, gather requirements, and design accurate and actionable business intelligence solutions.
Design customer-facing dashboards and visualizations to share insights and recommendations from our platform.
Lead the application of advanced analytics to model user behavior, uncover drivers of growth, and operationalize actionable insights.
Collaborate with operations, sales, and customer teams to share findings, implement recommendations, and generate feedback loops.
Communicate insights and results to peers and leaders, promoting a culture of collaboration and learning across teams via mentoring, documentation, presentations, or other knowledge-sharing methods.
Identify bottlenecks and implement improvements to our processes and tools. 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.
Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and excellence.

Qualifications

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.
Ability to translate complex data into actionable insights and recommendations, tailoring communications to diverse audiences.
Excellent verbal and written communication and presentation skills.
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.