Finance Data Scientist
Role details
Job location
Tech stack
Job description
The Finance Data Scientist we are looking for applies and inspires the adoption of advanced data science and analytics across the business, helping the business continue its evolution into an analytical and data-driven culture., Data Warehousing : Utilization and familiarity of tools like SQL, R, Python, Data Modeling, Data Warehouse methodologies (20%)
Statistics / Mathematics : Spearhead statistical analysis, 3rd party data integration,hypothesis testing, utilization of correlation, multivariate regression predictive and prescriptive modeling (20%)
Business Responsibilities : Work closely with finance colleagues to try and identify data related problems and solve them. Enable the business to make decisions by arming them with quantified insights
Business domain expertise - identifies the most valid variables and appropriate data sets to build models. (20%)
Analytics : Analyzes complex, high-volume, multi-dimensional data from various sources to help develop various types of data-driven products (20%)
Data Visualization and Communication : describing findings to audiences, both technical and non-technical (20%), * Elective Benefits : Our programs are tailored to your country to best accommodate your lifestyle.
- Grow Your Career : Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
- Elevate Your Personal Well-Being : Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
- Diversity, Equity & Inclusion : It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
- Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program.
- Connect with Your Community : Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.
Requirements
3 to 5 Years of relevant work experience.
Master's / Postgraduate Degree with Data Science, Mathematics, Statistics Field of Study
Technical Knowledge : Power BI - Snowflake - SQL and Python is a MUST
Proficiency English level is a MUST (Spanish not required)
Able to perform basic mathematical calculations
