Job Description
Job Overview:
The successful candidate for this role will have strong Python programming skills. Will manage data solutions, tools, and capabilities to enable self-service frameworks for data consumers. He/she will conduct data analysis and reconciliation of the client’s data to ensure data integrity. The successful candidates will determine trends and exceptions and interface with various business applications.
The successful candidate will work with the development team for optimal results.
JOB RESPONSIBILITIES
- Serve as a key member of the data team, providing insights and recommendations to business stakeholders based on analysis of large data sets.
- Conduct a full life cycle analysis to include requirements, activities, and design.
- Develop analysis and reporting solutions that address business needs and support decision-making by key stakeholders.
- Identify trends, correlations, and patterns in complex data sets.
- Manipulate and analyze data from multiple sources using Excel, SQL, and other statistical software.
- Perform data extraction, aggregation, and quality checking from multiple big data sources to create and monitor tests and programs.
- Use the newest and most relevant technologies to provide the primary reporting interfaces for Business partners and clients.
- Perform data mining and data analysis activities to explore big data that will identify and drive new strategies.
- Present findings to business stakeholders in a clear and concise manner.
- Work with cross-functional teams to ensure data accuracy and integrity.
- Stay up to date on the latest analytical methods and tools.
- Perform ad hoc analysis as needed.
- Assist with data mining efforts.
- Train junior analysts on best practices.
REQUIREMENTS
- Degree in Computer Science, engi
- neering, technology, mathematics, statistics, physics, etc.
- 3- 4 years of experience delivering solutions on the Microsoft Azure platform with a special emphasis on data solutions and services like Azure SQL, Azure Cosmos DB, Azure Synapse, and Azure Databricks.
- Experience with Agile/Scrum methodology and version control/CICD tools like GitHub and Azure DevOps.
- Experience with developing back-end data Integration, REST, and Graph QL APIs using .Net/C#, Python, etc.
- Developed working knowledge of query and macro tools.
- Advanced working knowledge of MS Office, including Excel.
- Define, build, and manage data dictionaries.