Bazaarvoice

Data Analyst

Vilnius Full Time
About Bazaarvoice
 
At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products.
 
The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty.
 
Our brand promise : closing the gap between brands and consumers.
 
Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia.
 
It’s official: Bazaarvoice is a Great Place to Work in the US , AustraliaIndia, Lithuania, France, Germany and the UK!

We’re looking for a highly motivated, analytical mind to provide analytics services to some of our most strategic clients. As a Data Analyst, you’ll use a combination of business intelligence, web analytics, statistical analysis and data mining techniques to help our clients better understand how their consumers engage with consumer-generated content. The Data Analyst should be able to identify and facilitate the measurement of KPIs, collaborate with business users to understand current and future goals and objectives, elicit requirements that may be known or unknown based on the information provided and provide sound recommendations regarding how best to incorporate these requests. You should be passionate about surfacing undiscovered patterns in data and using quantitative analysis to answer complex questions. You should have a strong background in delivering actionable insights to clients based on your analyses.