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
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jupyter-notebook API SQL Data Science Python jupyter-lab MongoDB ETL Cassandra Visual Studio Code Power BI