Cvent Data Analyst II (Data Science/ML) in United States
The mission of the Data Science team is to enhance Cvent’s products with AI and machine learning driven features, and to enable the company to make data-informed decisions at all levels. Cvent has a vast amount of data, and significant domain expertise, which we are using to design intelligent features that deliver value to our customers. We are on AWS, use Tableau as a reporting & dashboarding tool, and have recently started using Snowflake as an enterprise data warehouse.
We are hiring a Data Analyst II to work on statistical analysis of data, creating dashboards, and building and maintaining documentation on data. You must be highly collaborative and used to taking initiatives: you will work with data scientists, software developers and product managers on a daily basis. You will be an integral part of a fast-growing team, strongly committed to impacting the company via industry-leading machine learning, data products and data analytics.
What you will do:
Perform statistical analysis of data.
Design randomized controlled trials (A/B tests), and analyze results.
Build and maintain dashboards for the Data Science team, using Tableau, Amazon QuickSight, and possibly other tools.
Understand Cvent's data: for example, what data points are captured from a particular product line and how specific data tables were created.
Use this understanding of data to create and maintain data dictionaries relevant to the Data Science team.
Communicate relevant findings and results to the team.
A Bachelor's degree in statistics or another quantitative field.
At least 2 years of experience working as a data analyst in industry.
Proficiency working with relational (SQL) databases.
Proven skills in data visualization and dashboard creation.
Deep experience with Tableau.
Experience designing and analyzing A/B tests.
Critical thinking and strong problem-solving ability.
Excellent written and verbal communication skills.
Master's or higher degree in statistics or another quantitative field.
Proficiency in the Python language.
Experience with noSQL data stores.
Familiarity with AWS services, especially QuickSight as a dashboarding tool.
Familiarity with Snowflake.
Understanding of data modeling and data store management.
Conceptual understanding of machine learning.
Proven ability for proactive, independent work with minimal supervision.
If you are a good fit for the role, please apply! Your resume should be no more than two pages in length.