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 Annual Base Salary Range or Hourly Base Pay Range: $75,700.00 - $135,834.99 Stays updated with industry trends and best practices in data analysis, visualization, and reporting What you will bring: Education A bachelor’s degree in data science, statistics, mathematics, information science, finance, or related field Experience 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.