Role: BI Enablement Specialist with Data Warehousing solutions Experience
Location: Washington DC (Ex Amtrak and Locals are highly preferred)
Duration: Long term
DT Applications Solution Architect Sr (BI Enablement Specialist) with Data Warehousing solutions exp
Key Responsibilities
- Design develop and maintain data analytics & AI products to make insights accessible to the entire organization.
- The ability to work with cross-functional teams and clearly communicate complex data insights to non-technical audiences is essential.
- Design and deliver workshops training courses and educational materials to improve data analytics and AI literacy across the organization.
- Guide and mentor analysts and business stakeholders on data visualization best practices analytics techniques and the use of analytics tools.
- Work with various departments to understand their business requirements and develop tailored analytics solutions
- The ability to identify and solve problems related to data processes and tools to improve overall data utilization.
- Engage with teams to share data stories promote collaboration and create an integrated analytics-driven culture across the organization.
- Develop and maintain documentation guidelines and best practices on analytics processes data visualization standards AI tools and their use
- Monitor the performance usage and business impact of Data Analytics & AI initiatives to measure success.
- Keep up-to-date with the latest technologies and industry trends in data visualization and analytics to drive innovation.
Required Skills and Qualifications
- Experience in dimensional data modeling software analysis design development and testing for data warehousing solutions.
- Proficiency in data science machine learning or AI concepts is essential along with practical experience in prompt engineering and using generative AI tools.
- Strong communication and presentation skills are critical to explain complex topics clearly to both technical and non-technical audiences
- A strong understanding of data quality security and governance principles is key.
- Proficiency in tools like Tableau Power BI or similar platforms is crucial for creating and interpreting data visualizations.
- Familiarity with SQL and programming languages like Python or R for data manipulation and analysis.
Role: BI Enablement Specialist with Data Warehousing solutions Experience Location: Washington DC (Ex Amtrak and Locals are highly preferred) Duration: Long term DT Applications Solution Architect Sr (BI Enablement Specialist) with Data Warehousing solutions exp Key Responsibilities Design ...
Role: BI Enablement Specialist with Data Warehousing solutions Experience
Location: Washington DC (Ex Amtrak and Locals are highly preferred)
Duration: Long term
DT Applications Solution Architect Sr (BI Enablement Specialist) with Data Warehousing solutions exp
Key Responsibilities
- Design develop and maintain data analytics & AI products to make insights accessible to the entire organization.
- The ability to work with cross-functional teams and clearly communicate complex data insights to non-technical audiences is essential.
- Design and deliver workshops training courses and educational materials to improve data analytics and AI literacy across the organization.
- Guide and mentor analysts and business stakeholders on data visualization best practices analytics techniques and the use of analytics tools.
- Work with various departments to understand their business requirements and develop tailored analytics solutions
- The ability to identify and solve problems related to data processes and tools to improve overall data utilization.
- Engage with teams to share data stories promote collaboration and create an integrated analytics-driven culture across the organization.
- Develop and maintain documentation guidelines and best practices on analytics processes data visualization standards AI tools and their use
- Monitor the performance usage and business impact of Data Analytics & AI initiatives to measure success.
- Keep up-to-date with the latest technologies and industry trends in data visualization and analytics to drive innovation.
Required Skills and Qualifications
- Experience in dimensional data modeling software analysis design development and testing for data warehousing solutions.
- Proficiency in data science machine learning or AI concepts is essential along with practical experience in prompt engineering and using generative AI tools.
- Strong communication and presentation skills are critical to explain complex topics clearly to both technical and non-technical audiences
- A strong understanding of data quality security and governance principles is key.
- Proficiency in tools like Tableau Power BI or similar platforms is crucial for creating and interpreting data visualizations.
- Familiarity with SQL and programming languages like Python or R for data manipulation and analysis.
View more
View less