Data Analyst

Job Title: Data Analyst

Company: CheapFlightStares.com

Location: Remote (Preferred) or New Delhi

Job Type: Full-time

About Us:

CheapFlightStares.com is a leading online travel agency specializing in affordable flights, hotels, and travel deals. We're passionate about making travel accessible to everyone, and we're looking for a talented Data Analyst to join our team!

Job Summary:

We're seeking a detail-oriented and analytical Data Analyst to help us make data-driven decisions. As a Data Analyst, you'll work closely with our product, marketing, and operations teams to analyze large datasets, identify trends, and provide actionable insights to drive business growth.

Responsibilities:

• Collect, analyze, and interpret large datasets to identify trends, patterns, and correlations
• Develop and maintain dashboards, reports, and metrics to track key performance indicators (KPIs)
• Collaborate with cross-functional teams to design and implement A/B testing, experimentation, and personalization strategies
• Analyze customer behavior, market trends, and competitor activity to inform business decisions
• Develop and maintain databases, data systems, and tools to support business intelligence and analytics
• Provide data-driven insights and recommendations to stakeholders to drive business growth and optimization

Requirements:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• 1-3 years of experience in data analysis, business intelligence, or a related field
• Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and statistical software (e.g., R, Python)
• Strong analytical and problem-solving skills, with attention to detail and ability to work with large datasets
• Excellent communication and collaboration skills, with ability to present complex data insights to non-technical stakeholders
• Experience with data mining, machine learning, or predictive modeling is a plus

Nice to Have:

• Experience with cloud-based data platforms (e.g., AWS, Google Cloud)
• Familiarity with web analytics tools (e.g., Google Analytics)
• Knowledge of travel industry trends and dynamics

What We Offer:

• Competitive salary and benefits package
• Opportunity to work with a dynamic and growing company in the travel industry
• Collaborative and supportive team environment
• Flexible work arrangements, including remote work options
• Professional development opportunities and training

How to Apply:

If you're passionate about data analysis and want to join a team that's making travel more accessible, please submit your resume and a cover letter explaining why you'd be a great fit for this role.