BI/Data Analyst

🔥 7 minutes ago

🌏 Anywhere in the World

⏰ Full Time

🟢 Junior

🟡 Mid-level

📉 Data Analyst

🚫👨‍🎓 No degree required

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Logo of SEARADAR

SEARADAR

11 - 50 employees

Founded 2017

🏨 Hospitality

📦 Logistics

💼 Consulting

💰 Seed Round on 2021-11

Hospitality • Logistics • Consulting

SEARADAR is a full-cycle online concierge service dedicated to yacht charters, providing an easy and efficient way for users to search and book yachts for their travels. The platform offers a comprehensive selection of over 20,000 yachts across popular destinations such as Croatia, Greece, and Italy. Users can receive personalized choices, make online bookings, and communicate seamlessly with charter companies, ensuring a smooth sailing experience from start to finish.

📋 Description

• 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 opportunities for growth • Calculate and forecast key business metrics such as 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 gaps or inconsistencies in existing data • Recommend improvements to internal data collection and reporting processes • Use AI-powered analytics tools to accelerate analysis and surface insights, anomalies, and recommendations • Explore opportunities to automate repetitive analytical workflows • Build or configure AI-powered analytical tools, agents, notebooks, or insight-generation workflows where relevant

🎯 Requirements

• 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

• Fully remote work in an international team • 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

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