Data Analyst
Jobs for Humanity Open At a glance
Mid-level Data Analysis & BI role at Jobs for Humanity. Remote, United States · full-time · no salary stated · we estimate $76,250–$107,350.
Jobs for Humanity has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Prepare datasets by gathering, cleaning and arranging them for analysis
- Turn findings into dashboards, charts and other visual displays with Excel or BI tools
- Help develop statistical models and forecasts
- Work with consultants to shape data findings into strategic recommendations
- Check data quality and contribute to governance work
What you bring
- You are currently studying data science, statistics, economics, engineering or another listed field
- You can use Excel proficiently; SQL, Power BI or Python knowledge is an added advantage
- You pay close attention to detail and can handle large datasets
- You can explain complex data in clear, simple terms
Who this fits
This role suits someone at the mid-career level who is interested in strategy, public policy or business analytics. It is based remotely, with flexible working hours.
From the employer
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.
• 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
• 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.
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