A bachelor's degree in data science, statistics, mathematics, information science, finance, or related field
At least 5 - 7 years of experience as a data analyst, data scientist, BI analyst, preferably in the finance domain
Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
Proven project experience with data analysis and visualization tools such as Tableau, Power BI, Looker and Excel
Proven project experience with data cleansing and transformation tools such as Dataiku, Alteryx, etc.
Expert knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
Strong finance knowledge and business acumen to understand and interpret financial data in the context of business operations.
Knowledge of data visualization best practices to effectively communicate insight
Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
Familiarity with data modeling, machine learning models and data warehousing concepts
Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
Ability to collaborate within and across teams of different technical and business knowledge to support delivery and educate end users on analytics products
Excellent communication skills to convey complex data findings to both technical, finance and business executives
Attention to detail and ability to maintain data accuracy and integrity
Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.