Business Intelligence Engineer
Business Intelligence Engineer
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Job Description
Cornerstone Building Brands is looking for a Business Intelligence Engineer to join our Aperture Solutions product offerings. This role is integral to our business and will make an impact from day one.
DUTIES AND RESPONSIBILITIES:
- Lead Complex Data Analysis: Conduct indepth 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
- DeepDive Analyses: Conduct deepdive analyses of business problems and formulate conclusions and recommendations for presentation to senior leadership
- Enterprise Data Mapping at Scale: Applied advanced big data engineering to fully automate and map data attributes across the entire Paradigm/AccuQuote catalog ecosystemwork foundational to the ACE teams ability to build a scalable efficient data warehouse
- Stakeholder Influence & Communication: Demonstrates a rare ability to translate complex technical data concepts into language that nontechnical stakeholders easily understandbuilding trust and securing alignment across crossfunctional teams
- Strategic Vision for Data Management: Designed and implemented both short and longterm strategies for ETL processes laying the groundwork for sustainable and scalable data operations
- Organizational Influence: Has effectively influenced and guided key decisionmakers driving adoption of data initiatives critical to business transformation
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: Handson 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 datarelated challenges and drive strategic business outcomes
- Project Management Skills: Robust project and program management expertise capable of orchestrating multiple data initiatives managing largescale 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 largescale complex datasets
- Python or PySpark for Data Engineering: Proficiency in using Python or PySpark for advanced data transformations automation and pipeline development within tools like Databricks
- Data Governance Tools: Familiarity with data cataloging and governance platforms such as Collibra Alation or Apache Atlas to ensure data quality lineage and compliance
- Performance Tuning & Query Optimization: Deep understanding of query execution plans indexing strategies and performance tuning techniques for efficient handling of large datasets
- Machine Learning Foundations: Working knowledge of basic machine learning concepts such as regression clustering or time series forecasting to enhance datadriven insights and build predictive analytics tools
Additional Information :
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. Fulltime* team members receive** medical dental and vision benefits starting day 1. Other benefits include PTO paid holidays FSA life insurance LTD STD 401k EAP discount programs tuition reimbursement training and professional development.
*Fulltime is defined as regularly working 30 hours per week. **Union programs may vary depending on the collective bargaining agreement.
All your information will be kept confidential according to EEO guidelines
Cornerstone Building Brands is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin or protected veteran status and will not be discriminated against on the basis of disability. You can find the Equal Employment Opportunity Poster here. You can also view Your Right to Work Poster here along with This Organizations Participation in EVerify Poster here. If youd like to view a copy of the companys affirmative action plan or policy statement please contact Human Resources ator If you have a disability and you believe that you need a reasonable accommodation in order to search for a job opening or to submit an online application please contact Human Resources ator This email is used exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only emails received for this purpose will be returned. Messages left for other purposes such as following up on an application or technical issues not related to a disability will not receive a response.
California Consumer Privacy Act (CCPA) of 2018
Must be at least 18 years of age to apply.
Notice of Recruitment Fraud
We have been made aware of multiple scams whereby unauthorized individuals are using Cornerstone Building Brands name and logo to solicit potential jobseekers for employment. In some cases jobseekers are being contacted directly both by phone and email. In other instances these unauthorized individuals are placing advertisements for fake positions with both legitimate websites and fabricated ones. These individuals are typically promising highpaying jobs with the requirement that the jobseeker send money to pay for things such as visa applications or processing fees. Please be advised that Cornerstone Building Brands will never ask potential jobseekers for any sort of advance payment or bank account information as part of the recruiting or hiring process.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
