Salary
💰 $104,860 - $194,740 per year
Tech Stack
AzureCloudPythonSparkSQL
About the role
- Provide data subject matter expertise\n
- Responsible for understanding the systems & data environment.\n
- Research, explore, and tinker with new data design ideas and related technologies.\n
- Collaborate with internal/external data experts.\n
- Research & leverage technical documentation to gain a holistic understanding of the data domain.\n
- Support Analytics projects\n
- Work with data scientists to transform business requests into value-add data products and capabilities.\n
- Work closely with business teams and data scientists to collaboratively assess, understand, improve, and deliver rich data content for analysis.\n
- Assist in the development the conceptual/logical data models or semantic layers with appropriate business contexts.\n
- Automate, re-build, and re-imagine data processes to increase efficiencies in business processes.\n
- Tactical support of project activities: data access, understanding, engineering, visualization, and decision making.\n
- Elevate data and analytics skills in the business\n
- Identify and guide natural data champions in the business to enhance the profitable use of data.\n
- Learn salient business concepts from data champions and enable them to creatively use data technologies.
Requirements
- Advanced experience with databases.\n
- Advanced Experience in Python, SQL, Spark, C#, etc.\n
- Advanced Experience in automating data pipelines and working with data transformation tools.\n
- Advanced experience working with internal business contacts to develop analytical reports.\n
- Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS).\n
- Experience providing data analysis to support management decisions.\n
- General knowledge of data analytics theory & application.\n
- Financial services experience desired.