Senior Business Systems Analyst

Join our team as a Systems Analyst, where you'll provide essential technical support for diverse projects and data challenges.

Your role will involve maintaining and creating PowerBI projects, automating data extraction, and offering support for proprietary database queries and ad hoc reporting.

Proficiency in data analysis, business intelligence, data science, programming (SQL and Python), and cloud technologies (especially AWS S3) will be essential in driving success in this position.


* Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics)


* Minimum three years of experience in data modeling and data visualizations


* Proficiency in data analysis, data modeling, and data visualization is required, utilizing tools like PowerBI, Dash Plotly, Tableau, and Excel.


* Experience with cloud-based data management technologies, especially AWS S3, is necessary to leverage the scalability and efficiency of cloud computing.


* Be able to develop and maintain data pipelines, manage data warehousing, and execute ETL processes using technologies such as Redshift AWS, AWS Glue, SSRS, and SSAS.


* Proficiency in SQL and Python is expected for data manipulation and analysis


* Ability to communicate ideas and information verbally, both one-on-one and in meetings, in a manner that is clear and concise.

Presents prepared information in a manner that holds customers' interest and addresses their needs and concerns.

Able to adjust presentation styles to correspond to the audience being addressed.


* Ability to present written information in a clear, concise and organized manner.

Writes technical information so that it can be understood by non-technical audiences.


* Ability to manage own time, activities & resources.

Identifies work activities needed to accomplish objectives & coordinates those activities to deliver desired results.

Prioritizes multiple activities & projects.


* Ability to gather and analyze facts and data and to draw correct inferences from the information.


* Excellent written and verbal communication skills.


* Ability to make practical, timely and realistic decisions after considering possible outcomes as well as corresponding risks.


* Work beyond a normal 40 hour week may be required to meet project deadlines.



* Leverage experience with cloud-based data management technologies, particularly AWS S3, to ensure scalability and efficiency in data operations.


* Collaborate with the IT team to design and implement cloud-based data solutions that align with organizational objectives.


* Leverage experience with cloud-based data management technologies, particularly AWS S3, to ensure scalability and efficiency in data operations.


* Develop and maintain robust data pipelines to ensure efficient data extraction, transformation, and loading (ETL) processes.


* Manage data warehousing solutions to support the organization's data need...