Data Analyst

Job Description / Skills Required

Groupon is based in Chicago and operates in major regions globally. We are a local e-commerce marketplace where people discover and save on amazing things to do, see, eat and buy in their neighborhoods. We're enabling real-time commerce across local businesses, travel destinations, consumer products and live events. At the same time, we provide merchants with the resources and tools to grow and manage their businesses. Culturally, we believe that great people make great companies and that starting with the customer and working backward moves us forward.

Marketing Analytics is a key element in Groupon’s Marketing and as a team we develop new data requirements, maintain automated dashboards and analyze marketing performance to helps improve marketing strategies and customer insights to make Groupon engaging for both merchants and consumers.

This position based out of Dublin office will be part of our International Marketing Analytics team supporting Groupon’s EMEA Marketing efforts. The successful candidate will be responsible for understanding, measuring, testing and reporting on the fundamental success factors that drive our drive Marketing success in the EMEA region.

The right candidate will possess a strong combination of analytical prowess, technical aptitude, and business savvy. Typical responsibilities include:

Collaborate with marketing team and other stakeholders across Groupon, with an understanding of the diverse needs of each stakeholder

Synthesize data from a variety of databases and provide clear actionable recommendations to key business leads and leadership. Essentially, Perform as an “analytics translator” to tell a story about the data

Creation of dashboards and reports providing insight into business data. Aggregate, organize and visualize data to communicate effectively

Design and delivery of advanced analytical models, such as clustering, segmentations or propensity models, to answer core business questions

Work closely with data engineers and analytics team to ensure the ongoing evolution and improvement of our data assets

Develop ad-hoc analysis and reports

Basic

Highly self-motivated and able to work independently as well as in a team environment

Ability to thrive in a fast-paced start-up environment, and to manage multiple, competing priorities simultaneously. Must be comfortable in ambiguity and constantly evolving environment

Proven ability to perform data driven analyses including problem statement, data discovery, and result communication

Excellent presentation and communication skills; comfortable explaining technical topics to non-technical users

Top decile SQL skills a must (experience in Hive is strongly preferred)

Understanding of statistical techniques like Predictive Modeling, Regression, Cluster Analysis, Factor Analysis, hypothesis testing, exploratory analysis, etc

Demonstrated success in ingesting, analyzing, and presenting large data‐sets

Preferred

Bachelor’s degree in a quantitative discipline (e.g. Mathematics, Economics, Statistics, Computer Science, Engineering)

Experience in using tools like Tableau for creating dashboards, reports and data exploration

Experience automating analysis using analytics packages in languages like R or Python

Prior retail and digital marketing knowledge

Strong aptitude for learning new technologies and analytics techniques

Groupon provides a global marketplace where people can buy just about anything, anywhere, anytime. We’re enabling real-time commerce across an expanding range of categories including local businesses, travel destinations, consumer products, and live or lively events. At the same time, we are providing advertising options and tools that merchants can use to grow and manage their businesses. Culturally, we believe that great people make great companies and that starting with the customer and working backward moves us forward. Community matters to us on an internal, local and global scale—it’s fundamental to our company’s growth and to the well-being of the world at large. We also value self-awareness, candor, lunch and WiFi. If we match with you, please apply to join us.