Overview
On Site
80k - 120k
Full Time
Skills
Analytics
Business Intelligence
Data Visualization
Financial Analysis
Decision-making
Mentorship
Data Science
Computer Science
Statistics
Dashboard
DAX
Data Modeling
Pandas
NumPy
matplotlib
Finance
Communication
VBA
Microsoft Excel
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud Platform
Google Cloud
Extract
Transform
Load
Financial Modeling
Forecasting
Microsoft Power BI
Reporting
Python
SQL
Data Extraction
Data Analysis
Visualization
Financial Reporting
Collaboration
Job Details
An innovative financial analytics firm is looking for a Junior Data Scientist with a strong interest in business intelligence, data visualization, and financial analysis. This role is well-suited for early-career professionals who are passionate about using Python and Power BI to drive insights in the finance space. You will work closely with senior analysts and data engineers to build dashboards, perform exploratory data analysis, and support decision-making with actionable insights.
This is a great opportunity for someone looking to deepen their experience in data science within a financial context, while working in a collaborative and mentorship-driven environment.
Required Skills & Experience:
Tech Breakdown:
Daily Responsibilities:
This is a great opportunity for someone looking to deepen their experience in data science within a financial context, while working in a collaborative and mentorship-driven environment.
Required Skills & Experience:
- Bachelor's degree in Data Science, Finance, Computer Science, Statistics, or related field.
- 1-2 years of experience working with data in a professional or academic setting.
- Strong knowledge of Power BI, including dashboard creation, DAX, and data modeling.
- Proficiency in Python for data analysis and automation (Pandas, NumPy, Matplotlib).
- Solid understanding of financial metrics and reporting.
- Strong SQL skills for querying and manipulating structured data.
- Excellent communication skills and ability to explain data-driven insights to non-technical stakeholders.
- Familiarity with Excel VBA, Power Query, or advanced Excel functions.
- Exposure to cloud data platforms (Azure, AWS, or Google Cloud Platform).
- Experience with ETL processes or data pipelines.
- Interest or coursework in financial modeling or forecasting.
Tech Breakdown:
- 50% Power BI Reporting & Dashboarding
- 30% Python for Data Analysis
- 20% SQL & Data Extraction
Daily Responsibilities:
- 60% Hands-On Data Analysis and Visualization
- 20% Financial Reporting and Data Support
- 20% Collaboration with Analysts and Engineering Teams
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.