Business Intelligence Analyst
We know that you are our most valuable asset and supporting and driving your professional growth is important to us. Welcome to the next stop on the road in continuing with a rewarding career with Caliber Collision!
Senior Business Intelligence Analyst
Job Summary
Create, maintain, and optimize ETL processes used to prepare data for Predictive Analytics, reporting and ad-hoc data requests. Support analysts by providing extracted data that can be used to deliver end-to-end solutions to business problems that can be developed rapidly and maintained easily. Develop and evaluate machine learning models using medium/large data-sets and cloud services to drive the growth of all the Caliber Brands.
Role and Responsibilities
• Be a forward-facing business intelligence partner specializing in predictive analytics.
• Data Transformation and Integration: Extract Structured & Unstructured data from internal databases and external data sources.
• Creates data pipelines and transform data to a structure that is relevant the Machine Learning model(s). These may be in design phase or for model deployment into production.
• Develop knowledge of current data science and analytics trends.
• While we are a part of the Finance Department, we support projects and change management initiatives across all of Caliber (Operations, Human Resources, Marketing, Compensation, IT, Finance, etc.).
• Deploy Machine learning model results into Power BI reports or internal intranets.
• Understand and use concepts of model validation, Machine Learning data biasing and data leakage.
• Know the difference between Data science, business analytics and data engineering.
• Can effectively communicate ML model interpretability from the results.
• Support the Finance organization in building the roles, skills, processes, and collaboration with other teams necessary to improve Predictive Analytics solutions.
• Help in managing Machine Learning tools, deployment, and data analytics systems while upholding the governance, security, consistency, integrity, and accuracy of all end-user data.
Qualifications and Education Requirements
• Bachelor's degree in Math, Finance, Business Analytics, Engineering or STEM related field, or equivalent work experience, or equivalent combination of education and experience.
• Master's degree/MSBA/MBA/MIS or PhD would be considered a plus.
• 1-2 years of experience in developing business solutions combining Machine Learning, business intelligence, dashboards, and reporting, and/or process improvement & automation with progressive growth in responsibility and scope, using expert knowledge such as data warehouse, data lakes, databases, ETL, reporting tools, data analytics, data modeling.
• Experience with RapidMiner, Alteryx, IBM Watson, SAS Advanced Analytics, Python/R a plus
• Knowledge in data mining, machine learning, artificial intelligence, predictive analytics, and/or big data.
• High standards of Data governance, accuracy, precision, and organization.
• Understanding of Finance and Accounting methodologies, concepts, and principles a plus.
• Understanding of systems and methods to access underlying data and prepare reports.
• Demonstrated ability to turn end-user requirements into actionable tools and insights.
• Experience in data modeling with SSMS, Microsoft Power BI, Power Pivot and/or SSAS Tabular.
• Relevant experience with Microsoft Excel, data modeling and data visualization tools.
• Willingness to work closely with field operations, other teams, and all management levels.
• Articulate with adequate verbal and written communication skills.
• Ability to think creatively, highly driven, and self-motivated.
• Ability to succeed in an entrepreneurial atmosphere and willingness to dig for information.
• Comfortable in a high growth and strong customer service environment.
Apply Now
Senior Business Intelligence Analyst
Job Summary
Create, maintain, and optimize ETL processes used to prepare data for Predictive Analytics, reporting and ad-hoc data requests. Support analysts by providing extracted data that can be used to deliver end-to-end solutions to business problems that can be developed rapidly and maintained easily. Develop and evaluate machine learning models using medium/large data-sets and cloud services to drive the growth of all the Caliber Brands.
Role and Responsibilities
• Be a forward-facing business intelligence partner specializing in predictive analytics.
• Data Transformation and Integration: Extract Structured & Unstructured data from internal databases and external data sources.
• Creates data pipelines and transform data to a structure that is relevant the Machine Learning model(s). These may be in design phase or for model deployment into production.
• Develop knowledge of current data science and analytics trends.
• While we are a part of the Finance Department, we support projects and change management initiatives across all of Caliber (Operations, Human Resources, Marketing, Compensation, IT, Finance, etc.).
• Deploy Machine learning model results into Power BI reports or internal intranets.
• Understand and use concepts of model validation, Machine Learning data biasing and data leakage.
• Know the difference between Data science, business analytics and data engineering.
• Can effectively communicate ML model interpretability from the results.
• Support the Finance organization in building the roles, skills, processes, and collaboration with other teams necessary to improve Predictive Analytics solutions.
• Help in managing Machine Learning tools, deployment, and data analytics systems while upholding the governance, security, consistency, integrity, and accuracy of all end-user data.
Qualifications and Education Requirements
• Bachelor's degree in Math, Finance, Business Analytics, Engineering or STEM related field, or equivalent work experience, or equivalent combination of education and experience.
• Master's degree/MSBA/MBA/MIS or PhD would be considered a plus.
• 1-2 years of experience in developing business solutions combining Machine Learning, business intelligence, dashboards, and reporting, and/or process improvement & automation with progressive growth in responsibility and scope, using expert knowledge such as data warehouse, data lakes, databases, ETL, reporting tools, data analytics, data modeling.
• Experience with RapidMiner, Alteryx, IBM Watson, SAS Advanced Analytics, Python/R a plus
• Knowledge in data mining, machine learning, artificial intelligence, predictive analytics, and/or big data.
• High standards of Data governance, accuracy, precision, and organization.
• Understanding of Finance and Accounting methodologies, concepts, and principles a plus.
• Understanding of systems and methods to access underlying data and prepare reports.
• Demonstrated ability to turn end-user requirements into actionable tools and insights.
• Experience in data modeling with SSMS, Microsoft Power BI, Power Pivot and/or SSAS Tabular.
• Relevant experience with Microsoft Excel, data modeling and data visualization tools.
• Willingness to work closely with field operations, other teams, and all management levels.
• Articulate with adequate verbal and written communication skills.
• Ability to think creatively, highly driven, and self-motivated.
• Ability to succeed in an entrepreneurial atmosphere and willingness to dig for information.
• Comfortable in a high growth and strong customer service environment.
Apply Now