Business Intelligence Engineer - Remote

Intelliswift Software Inc

Job Description
Job DescriptionJob Description: ResponsibilitiesYou know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions. You are analytical and creative, and you don't quit. You will also have the opportunity to display your skills in the following areas:Architect, design, implement, and support a platform providing secured access to large datasets.Interface with technical and non-technical customers delivering complete BI solutions.Model data and metadata to support ad-hoc and pre-built reporting.Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.Analyze and solve problems at their root, stepping back to understand the broader context.Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.Respond to high priority requests from senior business leaders.Learn and understand a broad range of ***'s data resources and know when, how, and which to use and which not to use.Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasetsBasic qualificationsBachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related work experience.5+ years of relevant experience in business intelligence role, including data warehousing and business intelligence tools, as well as experience in diving deep on data analysis or technical issues3+ years of professional SQL experience2+ years of relevant work experience in a modern programming language (Preferably Python)Experience conceptualizing and implementing data warehousing or data lake solutions to support long term business data needs (familiarity with AWS, API's, ***'s internal DW tool suite, etc.)Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets.Knowledge and direct experience using data visualization tools like QuickSight, Tableau.Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.Excellent communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical and non-technical teams.Ability to deliver on ambiguous projects and work with complex datasetsImpeccable attention to detail and ability to check your own workPreferred qualificationsMaster's degree in Computer Science, Math, Engineering, Economics, Finance, Statistics or a related disciplineExperience working with AWS big data technologies (EMR, S3, Kinesis, Redshift)Experience with statistical modeling, regression and machine learning algorithmsKnowledge of data science libraries such as scikit-learn and pandas