Business Intelligence Analyst

## Business Intelligence Analyst Apply locations:
Lewisville, TXtime type:
Full time posted on:
Posted Todayjob requisition :
R0220789
** Service Center
** CSCS TXCreate, 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 inquisitive and have a curiosity about Calibers various business through Predictive Analytic lens.
* 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 Rapid Miner, 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.
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