Job Description
Job Purpose:
The Data Science Engineer (BI Developer) plays a key role in our company by taking various data sets and creating dashboards telling an impactful story for business leaders. A person in this role must be able to create advanced data models, work with business on requirements, complete technical documentation, and testing, create stories using BI dashboards, data-mine big data and iterate work with leaders across the enterprise.
Responsibilities:
- Building required infrastructure for optimal extraction, transformation of complex sets of data and loading of data from various data sources
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
- Ensure deliverables have Executive presence and efficient processes
- Creating insightful reports and presentations for business uses; Works beyond requirements to have visual storytelling and scalability
- Identifying, designing, and implementing internal process improvements including re-designing processes for greater scalability, optimizing data delivery, and automating manual processes
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
- Ensure data architecture, data model and dashboards standards are followed
Qualifications
Must have:
- 2 years+ experience: Microsoft Power BI
- Advance EXCEL knowledge
Desirable:
- Basic knowledge of R, SQL and Python
- 1 year experience/ Intermediate – advanced knowledge in Power Query, M and DAX language.
- Excellent communication and presentation skills
- Results driven and able to handle multiple projects
- Advanced level of experience with business intelligence tools (e.g., Power BI, Power Query)
- Strong mathematics skills (e.g., statistics, algebra)
- Excellent analytical and problem-solving skills associated with working on unstructured datasets
- Ability to communicate complex data in a simple, actionable way
- Ability to visualize data in the most effective way possible for a given project or study
- Ability to work independently and with team members from different backgrounds
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Excellent attention to detail
Professional Experience:
- College Degree required (Statistics, Industrial Engineer, or related field).
- Advanced analytic and dashboarding experience required.
- Data Mining, Data Engineer, or Data Scientist experience preferred
Additional Information
Work from home! (Flexibility to go to the office once per month)
Why work for Cornerstone Building Brands?
Our teams are at the heart of our purpose to positively contribute to the communities where we live, work and play.
Full-time
Schedule: monday to friday 8am to 5pm
Team members receive medical, dental and vision benefits starting day 1.
Other benefits include paid holidays, life insurance, LTD, STD, trainings, and professional development. You can also join one of our Employee Resource Groups which help support our commitment to providing a diverse and inclusive work environment.
Free virtual English course
Employee Assistance Program
Top Skills
What We Do
Cornerstone Building Brands is the largest manufacturer of exterior building products in North America. Our comprehensive portfolio spans the breadth of the residential and commercial markets, while our expansive footprint enables us to serve customers and communities across North America.
Our relentless focus on excellence combined with our ongoing commitment to innovation and R&D has driven us to become the #1 manufacturer of windows, vinyl siding, insulated metal panels, metal roofing and wall systems, and metal accessories.
We believe every building we create, and every part of that building, positively contributes to communities where people live, work and play.
DISCLAIMER
Cornerstone Building Brands’ social media channels share information about our company, our products and our people. We welcome commentary expressing all points of view – positive and negative – but reserve the right to remove posts that are off-topic, offensive, promotional or illegal or contain inappropriate language, hate speech, proprietary information, personal data or personal attacks.
