Lead Data Analyst
Company: Vendelux
Location: New York City
Posted on: April 3, 2026
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Job Description:
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, Shutterstock, Compass, Forter, Airbnb, and more.
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.
Keywords: Vendelux, New York , Lead Data Analyst, Energy / Utilities , New York City, New York