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: - 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.
Desired Skills & Experience: - Familiarity with Excel VBA, Power Query, or advanced Excel functions.
- Exposure to cloud data platforms (Azure, AWS, or GCP).
- Experience with ETL processes or data pipelines.
- Interest or coursework in financial modeling or forecasting.
What You Will Be Doing: 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
Posted by: Julie Bennett
Specialization : - Machine Learning/Data Science