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SEARADAR

BI/Data Analyst

SEARADAR

. Design, build, and maintain interactive dashboards and automated reports using Looker Studio, Tableau, or Power BI .

Posted 10/20/2026full-timeRemoteJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis and visualization, utilizing tools such as Looker Studio, Tableau, and Power BI to deliver actionable insights. Proficient in SQL, Python, and AI-powered analytics, with a strong focus on business metrics and performance analysis.

Highest-signal resume keywords
Advanced SQL SkillsPython Programming (Pandas, NumPy)BI Tools (Looker Studio, Tableau, Power BI)Statistical Analysis and A/B TestingData Visualization and Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQL-Based Data WarehousingData Cleaning and ValidationForecasting and Performance AnalysisStatistical Significance EvaluationData-Driven Decision MakingAI-Powered Analytical ToolsCustom Prompts and NotebooksDashboard Design and MaintenanceKPI MonitoringBusiness Metrics Analysis
Soft Skills
Attention to DetailProactive MindsetIndependent WorkClear CommunicationStakeholder Engagement
Tools & Technologies
Looker StudioTableauPower BIGoogle BigQueryGoogle SheetsApps Script
Industry Keywords
Business IntelligenceData AnalysisDigital BusinessTravelTechMarketplace

Tech Stack

Tools & technologies
BigQueryNumpyPandasPostgresPythonSQLTableau

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 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

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
  • 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