Business Intelligence Engineer

Role Overview

• Handle and execute the business analytics solution vision and feature definitions to ensure impact of developed solution, tool or application is achieved
• Gather and analyze business requirements and end user specifications for new products/functionalities and improve existing solutions
• Plan integration projects, priorities, risk mitigation, staffing, costs and impacts
• Schedule and coordinate pre-implementation meetings with representatives of customer, carriers and vendors
• Work with business partners to ensure all requirements are clearly documented to guarantee deliverables meets the objectives
• Coordinate development and testing with the business analytics, development and product teams
• Independently design, develop, document and deploy high quality dashboards, reports, analytical tools and other user-friendly functionalities

Requirements

• Bachelor’s degree or equivalent related work or military experience
• 1 year of related work experience
• Knowledge in analyzing large, complex, multidimensional datasets with query languages (SQL)
• Understanding of best practices and principles in SQL, query design, data validation/automation and research functions
• Understanding of data warehouse concepts and using logical data models to document and explain business objectives
• Experience in dealing with structured and unstructured data, ETL design principles and best practices using various technologies and frameworks such as SSIS, SSRS, etc.
• Master’s degree in Mathematics, Engineering, Computer Science or related field (preferred)
• 3 years of experience with reporting systems, creating applications, designing and implementing solutions, and developing applications/websites (preferred)
• Up-to-date knowledge of BI tools (MicroStrategy, PowerBI, Tableau, etc.) (preferred)
• Understanding of basic programming concepts and languages (Python, Java, Scala, HTML, C+, C#, etc.) (preferred)
• Familiarity with adapting various API’s for customized applications (preferred)
• Demonstrated proficiency for completing moderately complex projects and/or multiple assigned projects (preferred)
• Understanding of SuccessFactors, Peoplesoft, Kronos, SAP Payroll systems, and visual reporting tools like Google Data Studio and Microsoft PowerBI (preferred)
• Experience delivering business intelligence and data analytics solutions that involve statistical modeling or machine learning, the use of associated R/Python libraries and tooling, and which emphasize effective design and usability for end users (preferred)
• Knowledge of statistical/mathematical software (R, SAS) (preferred)

Tech Stack

• ETL
• Java
• Python
• Scala
• SQL
• SSIS
• Tableau

Benefits

• Full health insurance (medical, dental and vision)
• 401(k)
• Life insurance
• Disability