Summer Associate Internship (Business Intelligence Analyst)
Fa Etbx Saasfaprod1 Open At a glance
Junior Data Analysis & BI role at Fa Etbx Saasfaprod1. Vienna · full-time.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Explore digital and financial datasets to explain customer behavior, app and website usage, and customer sentiment
- Research competitors and new mobile banking trends with quantitative or qualitative analysis
- Use SQL, Python or similar tools to summarize data, assess trends, and interpret moderately complex results
- Create data dictionaries and source-to-target maps, applying modeling or forecasting methods when useful
- Share findings through clear writing, presentations, and visuals while joining project planning and team stand-ups
What you bring
- You are pursuing a degree at an accredited college or university, with graduation expected in December 2027 or later
- Your studies focus on economics, finance, data science, statistics, mathematics or another quantitative discipline
- You understand data collection, organization, management, statistics, and data science applications
- You have used SQL, Python, R or a comparable language for data analysis or modeling
- You can explain technical findings and are ready to learn Azure, Databricks, and other data environments
Who this fits
This full-time summer internship runs for twelve weeks, from May through August 2027, and suits a student seeking hands-on business intelligence and digital analytics experience. The schedule is Monday through Friday, 8:00 AM to 4:30 PM, at the Vienna, Virginia location.
From the employer
Join the Digital Analytics Department for a summer internship focused on turning digital and financial data into actionable insights for mobile app and online banking experiences.
Our Digital Analytics Department delivers actionable insights to support our mobile app and online banking operations. We conduct analysis that helps business and app development teams enhance the user experience and optimize performance.
We are seeking a motivated and talented summer intern to join our growing team. In this role, you will work with senior team members, department leaders, and business units to support research and development using digital and financial data. You will explore and summarize data, generate insights into customer digital behavior, analyze mobile app and website usage trends, and examine customer sentiment.
This is a full-time summer internship designed to provide hands-on experience in business intelligence, digital analytics, and data storytelling.
The Summer Associate Program is a 12-week internship program beginning in May 2027 and ending in August 2027. Students will work on impactful projects and meaningful work during their internship. To qualify for this position, applicants must be currently pursuing a degree from an accredited college or university and have an anticipated graduation date of December 2027 or later.
- Perform research and exploratory analysis on competitive intelligence and emerging trends in mobile banking using quantitative and/or qualitative methods.
- Explore datasets using available technologies and tools.
- Write SQL or Python code to summarize and analyze data.
- Group data, assess trends, and analyze and interpret moderately complex results.
- Develop data dictionaries and source-to-target mapping documentation to improve data usability.
- Apply data science techniques, such as logistic regression, machine learning, or forecasting, where appropriate for more advanced insights.
- Collaborate with business intelligence and data science team members.
- Participate in project planning and Agile/Kanban stand-ups.
- Document findings and present insights clearly through effective written, verbal, and visual communication.
- Currently pursuing a degree from an accredited college or university.
- Academic focus in an analytical discipline such as economics, finance, data science, statistics, mathematics, or a related quantitative field.
- Knowledge of data gathering, compilation, and data management.
- Knowledge of statistics and data science use cases.
- Experience with SQL, Python, R, or a similar language for data exploration, preparation, modeling, prediction, or statistical analysis.
- Ability and willingness to learn data and cloud environments such as Azure and Databricks.
- Technical writing and data storytelling skills, including presenting technical material to others.
- Ability to collaborate, build relationships, stay organized, manage time, and work both independently and as part of a team.
Additional Information
Hours:
- Monday - Friday, 8:00 AM - 4:30 PM
Location:
- 820 Follin Lane, Vienna, VA 22180
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