Overview
On Site
80k - 120k
Full Time
Skills
Analytics
Recruiting
Data Visualization
Training
Data Science
Statistics
Computer Science
DAX
Data Modeling
Pandas
NumPy
Data Analysis
Finance
Communication
Microsoft Excel
VBA
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Extract
Transform
Load
Financial Forecast
Modeling
Microsoft Power BI
Visualization
Python
SQL
Data Extraction
Business Intelligence
Dashboard
Financial Analysis
Reporting
Collaboration
Job Details
A data-driven financial analytics firm is actively hiring a Junior Data Scientist with a strong background in business intelligence, data visualization, and financial data analysis. This role is designed for early-career professionals with an academic foundation and practical exposure to Python and Power BI, who are looking to make a meaningful impact in the finance space.
You will work directly with senior team members to create dashboards, conduct exploratory analysis, and deliver data-driven recommendations. This is an ideal opportunity for someone with formal training in data science to apply their skills in a finance-focused, insights-driven environment.
Required Skills & Experience:
Tech Breakdown:
Daily Responsibilities:
You will work directly with senior team members to create dashboards, conduct exploratory analysis, and deliver data-driven recommendations. This is an ideal opportunity for someone with formal training in data science to apply their skills in a finance-focused, insights-driven environment.
Required Skills & Experience:
- Master's degree in Data Science, Finance, Statistics, Computer Science, or a closely related field (required)
- 1-2 years of experience working with data in either a professional or academic capacity
- Strong Power BI skills, including dashboard design, DAX calculations, and data modeling
- Solid proficiency in Python (Pandas, NumPy, visualization libraries) for data analysis
- Understanding of financial concepts and reporting metrics
- Strong SQL capabilities for data extraction and manipulation
- Clear communication skills for translating data into business insights
- Experience with Excel Power Query, advanced formulas, or VBA
- Familiarity with cloud data environments (Azure, AWS, Google Cloud Platform)
- Exposure to ETL or data pipeline concepts
- Interest in financial forecasting or modeling
Tech Breakdown:
- 50% Power BI Reporting & Visualization
- 30% Python-Based Analysis
- 20% SQL Data Extraction
Daily Responsibilities:
- 60% Exploratory Analysis and BI Dashboard Development
- 20% Support Financial Analysis and Reporting
- 20% Cross-Team Collaboration with Analysts and Engineers
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.