Data Analyst

Jobs for Humanity; Dallas (TX); Remote; USD 30,000 - 39,000; Full time

Benefits offered by this job

Competitive pay

Sign-on bonus $200

Flexible working hours

100% remote work

Paid training

Paid time off

Health and dental benefits

Performance-based bonuses

Career advancement opportunities

Professional development

Supportive team environment

Job summary

Splash Financial is seeking a data analytics intern to collect, clean, and organize datasets, build dashboards, and support forecasting as part of a collaborative, customer-focused fintech team.

You will work closely with consultants to translate data into strategic insights, ensure data accuracy, and contribute to governance efforts, all within a flexible, 100% remote environment.

Qualifications

• Currently studying Data Science, Statistics, Economics, or Engineering
• Proficient in Excel; knowledge of SQL, Power BI, or Python is a plus
• Strong attention to detail and ability to work with large datasets
• Interest in strategy, public policy, or business analytics
• Ability to present complex data simply and clearly

Responsibilities

• Collect, clean, and organize datasets for analysis
• Build dashboards, charts, and visualizations using Excel or BI tools
• Support statistical modeling and forecasting
• Work closely with consultants to translate data into strategic insights
• Ensure data accuracy and support data governance efforts

Job description

Splash Financial is a financial technology company focused on helping consumers explore smarter borrowing options and simplify the loan process. Through its digital platform, the company connects borrowers with lending partners to help them compare available offers and find solutions that fit their financial needs. Splash Financial is committed to creating a convenient, transparent, and customer-focused experience through technology, innovation, and dedicated support.

As part of its team, employees have the opportunity to contribute to a collaborative environment focused on customer satisfaction, operational efficiency, and continuous improvement.

Job Description

• Collect, clean, and organize datasets for analysis
• Build dashboards, charts, and visualizations using Excel or BI tools
• Support statistical modeling and forecasting
• Work closely with consultants to translate data into strategic insights
• Ensure data accuracy and support data governance efforts

Qualifications

• Currently studying Data Science, Statistics, Economics, or Engineering
• Proficient in Excel; knowledge of SQL, Power BI, or Python is a plus
• Strong attention to detail and ability to work with large datasets
• Interest in strategy, public policy, or business analytics
• Ability to present complex data simply and clearly

Additional Information

• competitive pay
• $200 sign up bonus
• flexible working hours
• 100% remote work
• paid training
• paid time off
• health and dental benefits
• performance-based bonuses
• career advancement opportunities
• professional development
• and a supportive team environment.