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Lead Data Analyst

This role is for a Lead Data Analyst with 8 years of experience, focusing on consumer insights in the vacation rental sector. Contract length is unspecified, with a pay rate of "unknown." Key skills include Python, R, SQL, and advanced Tableau/PowerBI proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 21, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
San Jose, CA
🧠 - Skills detailed
#Visualization #Data Science #Programming #Data Analysis #Python #Tableau #R #SQL (Structured Query Language) #Base #Data Management
Role description
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Role: Lead Data Analyst

Experience: 8 years

We are seeking an experienced Lead Data Analyst for an exciting consumer insights project focused on analyzing transaction data for an online consumer-to-consumer marketplace in the vacation rental sector. This project will involve leveraging consumer data to generate actionable insights and improve business strategies.

Responsibilities:
• Conduct detailed analyses of the consumer base using transaction data, including aspects such as price dispersion, price sensitivity, customer loyalty, lifetime value, and segment definition.
• Develop consumer insights dashboards using visualization tools like Tableau or PowerBI.
• Assess current internal data management processes, identifying opportunities for improvement and optimization.
• Collaborate closely with management teams to ensure alignment and quality of deliverables.
• Design and implement automated reporting solutions to provide real-time, actionable insights.

Required Skills & Qualifications:
• Technical expertise in data science, proficient in programming languages such as Python, R, and SQL.
• Advanced proficiency in data visualization tools, especially Tableau and PowerBI.
• Proven experience working with consumer data, particularly in eCommerce or digital travel businesses.
• Strong background in developing and implementing automated reporting systems that deliver real-time insights.
• Demonstrated ability to collaborate with cross-functional teams and manage multiple stakeholder expectations.
• Experience in creating high-quality leave-behind tools and reports, with a track record of successful client engagement.