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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.

    Basic qualifications:

  • 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.

    Advanced qualifications:

  • 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.