United States onlyCompany Description
Cornerstone Building Brands is hiring for one Business Intelligence Engineer for an 18-month contract role. The candidate MUST be located within Eastern Standard Time Zone in the US.
Cornerstone Building Brands, headquartered in Cary, North Carolina, is the largest manufacturer of external building products in North America with over $6 billion in annual revenue and an expansive national footprint that includes almost 20,000 employees, operating in +70 manufacturing facilities, supported by a network of +80 distribution and branch office facilities. We have a broad product offering with a well-regarded brand portfolio including the #1 position in windows; vinyl siding; metal accessories; metal roofing and wall systems; and insulated metal panels.
Job Description
• Lead Complex Data Analysis: Conduct in-depth data analysis, feature engineering, and model development to address critical business challenges. Utilize advanced statistical techniques to derive insights and inform strategic decisions.
• Innovate Predictive Models: Develop and refine predictive models, ensuring alignment with business objectives and delivering measurable value.
• Strategic BI Project Management: Drive strategic planning and execution of Business Intelligence projects, ensuring resource optimization, timely delivery, and alignment with organizational goals.
• Data Infrastructure Design: Design and oversee the implementation of robust data infrastructure, including ingestion, processing, analytics pipelines, and data warehousing solutions to enhance scalability and efficiency.
• Advanced Solution Architecture: Architect advanced solutions for automated data processing, model deployment, and continuous integration to streamline data science operations.
• Insightful Reporting: Produce written recommendations and insights for key stakeholders to shape effective metric development and reporting.
• Best Practices Development: Develop and drive best practices in reporting and analysis, ensuring data integrity, test design, analysis, validation, and documentation.
• Data Security and Compliance: Enforce strict data security and compliance standards, ensuring adherence to data privacy laws and ethical data usage.
• Deep-Dive Analyses: Conduct deep-dive analyses of business problems and formulate conclusions and recommendations for presentation to senior leadership.
Qualifications
• SQL Proficiency: At least 4+ years of experience using SQL to query data from databases/data warehouses/cloud data sources (e.g., Redshift, MySQL, PostgreSQL, MS SQL Server, BigQuery, etc.).
• Databricks Expertise: Hands-on experience with Databricks, including the development and optimization of data pipelines, integration of diverse data sources, and implementation of ETL processes to support data analytics and business intelligence initiatives.
• Cloud Platforms Knowledge: Deep familiarity with cloud computing platforms like AWS, Azure, and GCP.
• Analytical Leadership: Demonstrated leadership in analytical roles, with the ability to tackle complex, ambiguous data-related challenges and drive strategic business outcomes.
• Project Management Skills: Robust project and program management expertise, capable of orchestrating multiple data initiatives, managing large-scale resources, and adhering to stringent deadlines.
• Data Visualization: Experience with data visualization using Tableau, Quicksight, or similar tools.
• Data Handling Experience: Experience in data mining, ETL, and using databases in a business environment with large-scale, complex datasets.
