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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and visualization, utilizing tools like Looker Studio, Tableau, and Power BI to deliver actionable insights. Proficient in SQL, Python, and statistical analysis, with a strong focus on data accuracy and business performance metrics.
Highest-signal resume keywords
SQL-Based Data WarehousesLooker Studio, Tableau, Power BIPython (Pandas, NumPy)Statistical Significance and A/B TestingBusiness and Financial Metrics (ROI, Gross Margin)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData VisualizationData AnalysisForecastingStatistical AnalysisData CleaningPerformance MetricsA/B TestingAutomated Reporting
Soft Skills
Attention to DetailProactive MindsetClear CommunicationIndependent Work
Tools & Technologies
Looker StudioTableauPower BIGoogle BigQueryGoogle SheetsAI-Powered Analytics ToolsApps Script
Industry Keywords
BI AnalystData AnalystData-Driven BusinessStartupMarketplaceTravelTech
Tech Stack
Tools & technologiesBigQueryNumpyPandasPostgresPythonSQLTableau
About the role
Key responsibilities & impact- Design, build, and maintain interactive dashboards and automated reports using Looker Studio, Tableau, or Power BI
- Monitor key business KPIs and provide regular performance snapshots to stakeholders
- Transform complex datasets into clear, actionable insights and visualizations
- Ensure dashboards and reports are accurate, reliable, and easy to understand
- Perform ad-hoc analysis to identify trends, anomalies, risks, and growth opportunities
- Calculate and forecast run rates, margins, ROI, and other performance indicators
- Translate business questions into analytical approaches and concrete recommendations
- Present findings clearly to non-technical stakeholders and support data-driven decisions
- Design, implement, and analyze A/B tests
- Evaluate statistical significance and help teams interpret experiment results correctly
- Define data requirements and measure the impact of business initiatives with Marketing, Operations, Finance, and other teams
- Validate and clean data to minimize discrepancies and maintain high-quality reporting
- Identify data gaps or inconsistencies and recommend improvements to data collection and reporting processes
- Use AI-powered analytics tools to accelerate analysis and surface insights, anomalies, and recommendations
- Explore and build or configure automated analytical workflows, AI-powered tools, agents, notebooks, or insight-generation workflows
Requirements
What you’ll need- 2–3+ years of experience as a BI Analyst, Data Analyst, or in a similar analytical role
- Strong hands-on experience working with SQL-based data warehouses, particularly Google BigQuery
- Advanced SQL skills (BigQuery/PostgreSQL)
- Strong Python skills, particularly Pandas and NumPy
- Experience with BI and visualization tools such as Looker Studio, Tableau, or Power BI
- Expert-level Google Sheets skills; Apps Script is a plus
- Strong understanding of business and financial metrics, including ROI and Gross Margin
- Experience with forecasting and performance analysis
- Good understanding of statistical significance, hypothesis testing, and A/B test design
- Ability to translate complex analytical findings into clear recommendations for non-technical stakeholders
- Strong attention to detail and data accuracy
- Proactive mindset and ability to work independently in a fast-moving environment
- Fluent English
- Availability to work within a European time zone
- Based outside of Russia and Belarus
- Experience building or configuring AI-powered analytical tools or agents
- Experience with custom prompts, AI-driven notebooks, or automated insight-generation workflows
- Experience designing, training, or fine-tuning AI-based tools for data analysis rather than only using off-the-shelf AI assistants
- Experience in a startup, marketplace, TravelTech, or other data-driven digital business
Benefits
Comp & perks- Fully remote work in an international team
- A unique product in the global yacht travel industry
- Opportunity to work with data across multiple areas of the business
- High level of autonomy and direct impact on business decisions
- Opportunity to experiment with AI and automation in real analytical workflows
- Close collaboration with key business teams and company leadership
- Birthday gift
- Annual company offsite
- 37 paid days off: 20 vacation days + 10 personal days + 7 company holidays
