SEARADAR
BI/Data Analyst
3 нед. назад
Страна неизвестнаMiddleRemoteC1
google bigqueryadvanced sqlpythonpandasnumpylooker studiotableaupower bi
BI/Data Analyst role at SEARADAR, an international yacht charter company, involves turning complex data into business insights and supporting key teams to make data-driven decisions.
About the company
- 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.
About the product
- A unique product in the global yacht travel industry.
- Opportunity to work with data across multiple areas of the business.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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.
Conditions
- Fully remote work in an international team.
- 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.