Key Responsibilities:
- 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.
- Cross-Functional Collaboration: Translate client business requests into clear technical specifications while partnering with Client Success, Sales, Data Engineering, and Product teams to build new offerings..
Requirements, Education & Experience:
- 2+ years of hands-on experience in a data analytics or business intelligence role.
- 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.
- Client-Facing Communication: Proven track record in a client-facing or internal stakeholder consulting role, with ability to communicate technical findings concisely in fluent English (written and spoken).
Nice to have:
- AI Literacy & Tooling: Familiarity with leveraging modern AI tools/LLMs for analytical workflows (e.g. prompt engineering for data extraction, code generation, or text processing).
- 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..
Skills Required
- At least 2 years of hands-on experience in data analytics or business intelligence
- University degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science
- Strong proficiency in advanced SQL for large, complex datasets
- Experience with cloud data platforms such as AWS Athena, Google BigQuery, Snowflake, or Databricks
- Practical experience with Python for automation, data manipulation, and statistical analysis
- Client-facing or internal stakeholder consulting experience
- Fluent written and spoken English with the ability to communicate technical findings concisely
- Familiarity with AI tools or LLMs for analytical workflows
- Experience with ELT processes and tools such as Airflow, dbt, or Fivetran
- Experience with API integrations for data collection or automation
- Knowledge of BI tools and web or product analytics concepts
- Experience with Git and code review practices
Bazaarvoice Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bazaarvoice and has not been reviewed or approved by Bazaarvoice.
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Leave & Time Off Breadth — Time off is considered flexible, with unlimited PTO and paid volunteer time available alongside a hybrid/flexible-remote setup. Paid sabbaticals after a tenure milestone are highlighted as part of the package.
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Parental & Family Support — Paid parental leave for primary caregivers is consistently presented as a strong component of the offering. Family medical leave options are also documented.
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Wellbeing & Lifestyle Benefits — Mental health support via a dedicated platform, recognition programs, ERGs, and a companywide volunteering tradition are emphasized. Company events and regular all-hands reinforce a wellbeing and community focus.
Bazaarvoice Insights
What We Do
Each month in the Bazaarvoice Network, more than a billion consumers create, view, and share authentic user-generated content including reviews, questions and answers, and social photos across more than 11,500 global brand and retailer websites. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions help brands and retailers reach in-market shoppers, personalize their experiences, and give them the confidence to buy.








