商业智能/数据分析师

Location: Remote
Employment: Full-time
About SEARADAR

SEARADAR is an international yacht charter company helping customers organize yacht trips around the world. We combine technology, data, and personalized service to make yacht charter simple and accessible.
As we continue to scale, we’re looking for a BI / Data Analyst who can turn complex data into clear business insights and help teams make faster, better-informed decisions.
This is a hands-on role with direct exposure to Marketing, Operations, Finance, and other key business functions.
Tasks
BI & Reporting

• Design, build, and maintain interactive dashboards and automated reports using tools such as 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.

Business Analysis

• 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 teams in making data-driven decisions.

Experiments & Decision Support

• Design, implement, and analyze A/B tests.

• Evaluate statistical significance and help teams interpret experiment results correctly.

• Work closely with Marketing, Operations, Finance, and other teams to define data requirements and measure the impact of business initiatives.

Data Quality & Infrastructure

• Validate and clean data to minimize discrepancies and maintain high-quality reporting.

• Identify gaps or inconsistencies in existing data.

• Proactively recommend improvements to internal data collection and reporting processes.

AI & Automation

• 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.

Nice to have:

• 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.

What Success Looks Like
You’ll be successful in this role if:

• Teams have reliable dashboards and can easily understand their key performance indicators.

• Business decisions increasingly rely on accurate data rather than assumptions.

• Important trends, anomalies, and opportunities are identified early.

• Analytical requests are translated into clear recommendations, not just numbers.

• Data discrepancies and reporting issues decrease.

• Experiments are designed and evaluated correctly.

• Reporting and recurring analysis become increasingly automated.

• AI and automation help reduce manual analytical work and speed up the path from data to decisions.

Benefits
What We Offer

• 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.

Originally posted on Himalayas