Data Analyst

Jobs for Humanity; Texas; Remote; USD 28,000 - 34,000; Part time

Benefits offered by this job

Sign-up bonus

Remote work

Paid training

Paid time off

Health benefits

Dental benefits

Professional development

Career advancement

Flexible hours

Job summary

Splash Financial is seeking a Data Analytics Intern to join a remote team in the United States. You will collect and clean datasets, build dashboards and visualizations, and support forecasting while translating data into business insights for strategic decisions.

The role emphasizes attention to detail, data integrity, and the ability to present findings clearly. Flexible hours, paid training, and a $200 signup bonus accompany a 100% remote work arrangement.

Qualifications

• Currently studying Data Science, Statistics, Economics, or Engineering
• Proficient in Excel; SQL/Power BI/Python a plus
• Strong attention to detail with large datasets
• Ability to present complex data clearly

Responsibilities

• Collect, clean, and organize datasets for analysis
• Build dashboards, charts, and visualizations using Excel or BI tools
• Support statistical modeling and forecasting
• Translate data into strategic insights
• Ensure data accuracy and governance

Skills

Data analysis

Attention to detail

Communication

Strategic thinking

Education

Pursuing degree in Data Science/Statistics/Economics/Engineering

Tools

Excel

SQL

Power BI

Python

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.

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

Requirements

• 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

Enjoy 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.