Data Analyst

Bazaarvoice

. Deliver business intelligence, web analytics, statistical analysis, and data mining using modern data tools .

Posted 11/12/2026full-timeVilnius • LithuaniaJuniorMid-Level💰 €2,300 - €2,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and business intelligence, utilizing advanced SQL and Python for data manipulation and automation. Capable of translating complex data insights into actionable business strategies while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Advanced SQL ProficiencyPython Automation ExperienceClient-Facing Consulting SkillsData Engineering ELT ProcessesBusiness Intelligence Tools Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsStatistical AnalysisData MiningKPI MeasurementSentiment AnalysisText ClassificationReporting AutomationData VisualizationData ManipulationAPI Integrations

Soft Skills

Effective CommunicationStakeholder CollaborationProblem-Solving

Tools & Technologies

AWS AthenaGoogle BigQuerySnowflakeDatabricksAirflowDbtFivetranGit

Industry Keywords

Business IntelligenceWeb AnalyticsConsumer EngagementQuantitative AnalysisModern AI Tools

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Deliver business intelligence, web analytics, statistical analysis, and data mining using modern data tools
Help clients better understand how consumers engage with consumer-generated content
Identify and measure key performance indicators (KPIs)
Partner with client stakeholders to scope custom reporting needs and uncover business objectives
Analyze large-scale consumer data using SQL, traditional statistical methods, sentiment analysis, and text classification
Use SQL and Python to automate reporting pipelines and improve operational efficiency
Design intuitive datasets and dashboards presenting clear, impact-driven KPIs to technical and non-technical client audiences
Translate client business requests into technical specifications
Collaborate with Client Success, Sales, Data Engineering, and Product teams to build new offerings
Turn structured and unstructured datasets into clear, actionable business reporting

Requirements

What you’ll need

2+ years of hands-on experience in a data analytics or business intelligence role
University degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science
Strong proficiency in advanced SQL for querying large, complex datasets across cloud data platforms such as AWS Athena, Google BigQuery, Snowflake, or Databricks
Practical experience with Python for automation, data manipulation, and statistical analysis
Proven track record in a client-facing or internal stakeholder consulting role
Ability to communicate technical findings concisely in fluent English, written and spoken
Familiarity with modern AI tools/LLMs for analytical workflows
Experience with data engineering ELT processes and tools such as Airflow, dbt, or Fivetran, and API integrations
Knowledge of BI tools and web/product analytics concepts
Experience with Git and code review practices

Benefits

Comp & perks

Equal employment opportunities and commitment to diversity and inclusion
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