Responsibility: + Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep. + Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. + Create and maintain reporting dashboards to deliver data insights to a wide range of consumers. + Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects. + Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures. + Perform other duties as assigned. Qualifications: + Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience). + Experience with cloud computing infrastructure. + Minimum of 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development. + Strong understanding of database design, data mining, and data modeling concepts. + Experience with ETL processes and data integration techniques. + Proven ability to develop effective data visualizations using Power BI and/or Plotly Enterprise. + Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: + Advanced degree in in computer science, mathematics, physics, statistics, or related field. + Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis. + Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression. + Experience with No-SQL databases such as MongoDB and Cassandra + Experience with API end point connection and configuration for complex data pipelines. + Experience establishing data governance principals as part of the data ingestion process. + Experience working with Agile principals utilizing Azure DevOps or similar systems. + Experience working in the Financial Industry