Bazaarvoice
From Bazaarvoice's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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 , Australia, India, Lithuania, France, Germany and the UK!
Client Engagement & Consulting: Partner directly with client stakeholders to scope custom reporting needs uncovering key business objectives and delivering clear analytics recommendations.
Analytics & Data: Analyze large-scale consumer data using SQL, traditional statistical methods, and modern techniques (e.g. sentiment analysis, text classification)
Automation & Workflow Optimization: Use SQL and Python to automate reporting pipelines and improve operational efficiency.
Data Visualization & Storytelling: Design intuitive datasets and dashboards that deliver clear, impact-driven KPIs to both technical and non-technical client audiences.
University degree in a quantitative field (e.g. Statistics, Mathematics, Economics, Computer Science, etc.)
SQL & Cloud Data Warehouses: Strong proficiency in advanced SQL for querying large, complex datasets across cloud data platforms (e.g. AWS Athena, Google BigQuery, Snowflake, or Databricks).
Programming & Scripting: Practical experience with Python for automation, data manipulation, and statistical analysis.
Data Engineering: Experience with data engineering ELT (extract, load, transform) processes and tools (e.g. Airflow, dbt, or Fivetran), as well as API integrations for data collection or automation.
Web Analytics: Knowledge of BI tools and web/product analytics concepts (e.g. event tracking, user segmentation, and funnel analysis).
Version Control: Experience with Git and code review practices..
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