Salary 2,300 – 2,500 EUR Why join Bazaarvoice?Read the full posting
Work setup in the employer’s posting: hybridFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
We are looking for a highly motivated Data Analyst to join our team in Vilnius to deliver business intelligence, web analytics, statistical analysis, and data mining utilizing modern data tools that helps our clients better understand how their consumers engage with consumer-generated content.
You will identify and measure key performance indicators (KPIs), collaborate with client stakeholders to uncover hidden opportunities, and turn complex datasets- both structured and unstructured- into clear, actionable business reporting.
At Bazaarvoice, we create smart shopping experiences.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 43.
At Bazaarvoice, jobs usually come down by about day 90.
From 14,545 similar postings that came down, and 8 of Bazaarvoice’s. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 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.
- 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).
- 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.
- 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.
- 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).
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
2,300 – 2,500 EUR
Full-time
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 2,300 – 2,500 EUR Why join Bazaarvoice?
Vilnius
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.