- 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
- Advanced knowledge of R, SQL and Python
- Advanced Microsoft Excel y Microsoft Power BI
- 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 (, Power BI, Power Query)
- Strong mathematics skills (, 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
- College Degree required (Statistics, Industrial Engineer, or related field).
- Advanced analytic and dashboarding experience required.
- Data Mining, Data Engineer, or Data Scientist experience preferred
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Data Science Engineer - San José, Costa Rica - Cornerstone Building Brands
Descripción
About Us
Cornerstone Building Brands is a premier exterior building solutions provider serving both the residential and commercial markets across North America. The building products we manufacture are the cornerstone of the communities where people live, work and play -from homes to hospitals, grade schools to grocery stores, manufacturing facilities to municipal buildings and beyond.
Through the core values and consistent behaviors and mindsets embraced by our employees, we have built a culture dedicated to understanding our customers' needs and what matters most to their success. We know that it's our people that make the difference and we are deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized, providing an environment of mutual respect where equal employment opportunities are available to all applicants and team members.
Job description
Job Purpose:
The Data Science Engineer 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:
Qualifications
Professional Experience: