What you will do

This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms.
You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build Power BI Dashboards.
Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.

In this role, you will envision, design and develop data solutions to scale data.
You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data.
You will help the organization move towards data as a service model to improve influence on day-to-day business decisions.

Key Responsibilities:

• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders
• Work closely with analysts, data engineers, business intelligence engineers and software development engineers to produce complete data solutions

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to help determine key business conclusions
• Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders
• Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs
• Support and drive short-term and long-term for achieving business targets in the digital roadmap
• Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities

Qualifications

Applicants must be currently enrolled in academic courses and pursuing a degree in Industrial Engineering/Supply Chain/Data Analysis or related field and have completed 30 credit hours prior to the start of the co-op

Must be enrolled in a degree seeking program with the intent to return to school at the completion of the co-op

Must be in good academic standing with a cumulative grade point average of at least 2.75/4.0
Co-ops are not enrolled in academic courses during their co-op rotation and may work up to 40 hours per week

Expert level experience with Power BI is a must
Strong storytelling experience is a must
Strong experience with Power Tools(Power Automate, Power Apps etc.)
Experience defining requirements and using data and metrics to draw business insights
Experience managing multiple projects/tasks delivery simultaneously
Strong written, oral communication and presentation skills
Effectively communicates with both business and technical teams
Able to work with Microsoft laptops, products and services
Proficient with SQL queries to retrieve and analyze data