[Hiring] Data Analyst REMOTE USA
Position: Data Analyst
Date Posted: 2 June 2026
Industry: Data Analytics / Market Research / Financial Data Services
Employment Type: Full Time
Experience: Minimum 6+ Years in Data Analytics, Data Science, Consulting, or Financial Services
Qualification: Bachelor’s Degree in Data Science, Computer Science, Statistics, Economics, Engineering, or Related Field
Salary: $165,000 – $205,000 Per Year (Base Compensation; Excludes Bonus, Equity & Benefits)
Location: United States, REMOTE
Company: YipitData
Description:
YipitData is a leading market research and analytics firm specializing in the disruptive economy. The company leverages proprietary technology to analyze billions of alternative data points, delivering actionable insights across industries such as consumer goods, AI, software, cloud, and payments. Its insights are trusted by top investment funds and Fortune 500 companies for high-impact decision-making.
The Data Analyst role sits within the Consumer Goods sector team, one of the organization’s largest and most strategic divisions. This position is focused on transforming complex datasets into meaningful insights that help clients understand consumer behavior, market trends, and competitive dynamics.
This is a high-impact role that goes beyond traditional analytics, requiring a strong ability to build new methodologies, explore new datasets, and contribute to the strategic direction of data products. The position offers significant ownership, autonomy, and exposure to cutting-edge analytical tools, including AI-driven workflows.
Key Responsibilities:
• Own and manage end-to-end data products with a focus on accuracy and client value
• Analyze large-scale datasets to generate insights on consumer behavior and market trends
• Develop and refine data methodologies, frameworks, and analytical models
• Identify opportunities to build new data products and expand existing use cases
• Collaborate with research, engineering, and cross-functional teams
• Use AI tools and automation to improve efficiency and analytical workflows
• Ensure high standards of data accuracy, quality, and reliability
• Communicate complex analytical findings to stakeholders clearly and effectively
Requirements:
• Minimum 6+ years of experience in data analytics, consulting, or financial services
• Strong proficiency in SQL and experience with Python or PySpark
• Experience working with large, complex datasets
• Proven ability to lead ambiguous, high-impact analytical projects
• Strong communication skills for explaining technical concepts clearly
• Experience using AI tools for analytics and workflow optimization
• Strong knowledge of:
• SQL-based data analysis and querying
• Python or PySpark for data processing
• Data modeling and methodology development
• Market research and consumer analytics
• Data storytelling and business insights communication
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