Data Analyst - Phase 1 Product Analysis (TurboTax vs. FreeTaxUSA)
Budget: $250 – $750 USD
Pls read the JOB Description properly. ONLY PEOPLE WHO HAVE RELAVANT EXPERIENCE SHOULD PITCH. I DON'T NEED GENERAL PITCHING COPYING IT FROM CHAT GPT.
WHEN YOU ARE SUBMITTING THE BID ADD YOUR PREVIOUS SIMILAR PROJECTS YOU HAVE WORKED AND SHARE PREVIOUS PROJECT REPORTS SIMILAR TO THIS.
We are seeking a skilled Data Analyst to assist in Phase 1 of a comprehensive, data-driven analysis comparing TurboTax and FreeTaxUSA. This project focuses on the user experience of low-income individuals, particularly examining how these tax tools serve different demographic groups, including Gen Z, Millennials, and older generations.
Key Responsibilities:
• Data Collection and Preparation: Gather and clean data related to user experience metrics such as screens, clicks, latency, and overall cost-effectiveness for TurboTax and FreeTaxUSA.
• Metrics Analysis: Perform a side-by-side comparison of key metrics, highlighting differences in performance and user experience between the two tools.
• Demographic Analysis: Analyze the impact of age and tech-savviness on the user experience, focusing on low-income users across different generations.
• User Journey Mapping Support: Contribute to the creation of user journey maps by identifying pain points and areas of difficulty for low-income users.
• Data Visualization: Create visual representations of the findings, including charts, graphs, and tables, to be used in reports and presentations.
• AI Features Analysis: (If applicable) Document and analyze the impact of AI features in both tools on user experience.
Qualifications:
• Proven experience in data analysis, particularly in user experience or product comparison projects.
• Strong proficiency in data analysis tools such as Excel, Python (Pandas), or R.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Ability to analyze and interpret complex data sets, with a focus on delivering actionable insights.
• Familiarity with demographic segmentation and user journey mapping is a plus.
• Excellent communication skills, with the ability to present data findings clearly and effectively.
WHEN YOU ARE SUBMITTING THE BID ADD YOUR PREVIOUS SIMILAR PROJECTS YOU HAVE WORKED AND SHARE PREVIOUS PROJECT REPORTS SIMILAR TO THIS.
We are seeking a skilled Data Analyst to assist in Phase 1 of a comprehensive, data-driven analysis comparing TurboTax and FreeTaxUSA. This project focuses on the user experience of low-income individuals, particularly examining how these tax tools serve different demographic groups, including Gen Z, Millennials, and older generations.
Key Responsibilities:
• Data Collection and Preparation: Gather and clean data related to user experience metrics such as screens, clicks, latency, and overall cost-effectiveness for TurboTax and FreeTaxUSA.
• Metrics Analysis: Perform a side-by-side comparison of key metrics, highlighting differences in performance and user experience between the two tools.
• Demographic Analysis: Analyze the impact of age and tech-savviness on the user experience, focusing on low-income users across different generations.
• User Journey Mapping Support: Contribute to the creation of user journey maps by identifying pain points and areas of difficulty for low-income users.
• Data Visualization: Create visual representations of the findings, including charts, graphs, and tables, to be used in reports and presentations.
• AI Features Analysis: (If applicable) Document and analyze the impact of AI features in both tools on user experience.
Qualifications:
• Proven experience in data analysis, particularly in user experience or product comparison projects.
• Strong proficiency in data analysis tools such as Excel, Python (Pandas), or R.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Ability to analyze and interpret complex data sets, with a focus on delivering actionable insights.
• Familiarity with demographic segmentation and user journey mapping is a plus.
• Excellent communication skills, with the ability to present data findings clearly and effectively.