Lead Data Analyst

Vendelux•New York, NY

22d

About The Position

Vendelux helps companies discover the best events. Event marketers are the unsung heroes of successful companies. From generating leads to building world-class brands, event marketers make magic happen throughout the year. Vendelux is here to help maximize the impact of all the events that a company sponsors and attends. We are a Series A SaaS company and provide the system of record for event marketing. Our software platform provides proprietary insights that helps high-growth companies find the highest ROI events, conferences and trade shows to attend and sponsor. We have built an AI-powered platform that customers describe as an event marketer’s dream. Vendelux was founded in 2021, and our recent $14 million Series A was led by FirstMark, whose portfolio includes companies like Shopify, Pinterest, Discord, Airbnb, Draft Kings, Carta and Justworks (amongst others). Our leadership team includes alumni from Bain, ZoomInfo, Shutterstock, Compass, ModernLoop, Forter, Zulilly, NewtonX. 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.

Requirements

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.
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.

Nice To Haves

Data model optimization skills to make BI processes more efficient and relevant is preferred.
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.

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.