Manager, Business Analytics

As the fastest-growing business unit in Gartner, our Worldwide Conferences team serves more than 75,000 business and technology leaders from around the globe through 75+ conferences each year. With annual revenue in excess of $400 million, we consistently achieve double-digit growth rates - and we're actively investing in our Conferences Business Analytics team to achieve even higher growth in 2019 and beyond.

About the role:

The Manager of Business Analytics will help advance the analytics function at Conferences and identify new areas to apply advanced analytics to drive business results.

Responsibilities:

• Help solve strategic, commercial challenges facing the Conferences business. This will require partnering with the Conferences Business Analytics Leadership team to identify and then solve complex commercial challenges using data.
• Representative project: Defining a strategy to increase retention of conference exhibitors.

• Use data / analytics to answer critical commercial questions. This will require executing the analysis of different data sets using descriptive or predictive techniques to drive commercial outcomes. This role should have solid hands-on experience in the following analytics techniques:
  
  • Statistical analysis of various data sources
  • Classification systems for key exhibitor and attendee attribute data to support predictive analytics
  • Optimization models to improve conference registrations, attendee revenue and exhibitor sponsorships
  • Supervised and unsupervised machine learning techniques to support analytic objectives.
• Representative project: Analyzing attendee demographic and behavior datasets (e.g. RFID) to identify attendee personas that can be leveraged to customize onsite experience of different attendee segments of a conference.

• Design, build and automate the deployment of our data pipelines to support data scientists and analytics team members with their data and reporting requirements. This includes partnering with IT on the architecture, prototyping and development of data extracts, and the subsequent transformation, cleansing, and integration of data from multiple sources.

• Support the development, maintenance and documentation of data model, data dictionary and data flow diagrams

You will need:

• Experience: 5-7+ years of progressive business experience, data science and/or consulting experience a must; Practical, intuitive problem solver with a demonstrated ability to translate business objectives into actionable data science tasks and translate quantitative analysis into actionable business strategies
• Data Science: 5+ years hands-on experience building supervised or unsupervised models with statistical and datamining tools (e.g., R, Python, SQL, and other object-oriented programming languages); Familiar with the foundational approaches to the major data science disciplines, such as data preparation, advanced statistics, machine learning, recommendation engine, and natural language processing. Experience with data visualization tools a plus.
• Data Engineering: Hands-on experience with traditional data engineering tasks such as building analytical data records, predictive modeling, as well as data extraction via SQL (T-SQL a plus). Experience liaising between IT and business stakeholders a plus.
• Drive: Detail oriented, with the ability to plan, prioritize, and meet deadlines in a fast-paced environment.
• Communication skills: Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
• Strong core values: You demonstrate integrity, collaboration, a no-limits mindset, objectivity, and consistent results using global best practices.
• Education: BA/BS from a top-tier university in economics, statistics, mathematics or similar quantitative field of study. Master's degree or PhD strongly preferred.

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Job Requisition ID:71136

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