Caliber Brands is looking to leverage Predictive Analytics to drive growth, requiring the creation, maintenance, and optimization of ETL processes, development and evaluation of machine learning models, and the delivery of end-to-end solutions to business problems.
Requirements
- 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.
- Understanding of systems and methods to access underlying data and prepare reports.
- 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.
- Understand and use concepts of model validation, Machine Learning data biasing and data leakage.
Responsibilities
- 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.
- 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).
- Deploy Machine learning model results into Power BI reports or internal intranets.
- 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.
Other
- Be inquisitive and have a curiosity about Calibers various business through Predictive Analytic lens.
- Be a forward-facing business intelligence partner specializing in predictive analytics.
- 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.).
- Willingness to work closely with field operations, other teams, and all management levels.
