Title:  Specialist, Business Intel Analyst

Job Title: Specialist, Business Intel Analyst

Job Code: 36067

Job Location: Londonderry, NH or Tempe, AZ (Onsite)

Schedule: 9/80: Employees work 9 out of every 14 days- totaling 80 hours worked- and have every other Friday off

Job Description:

Join our dynamic team as a Specialist, Business Data Analyst, where you'll transform complex data into actionable insights that drive critical business decisions across quality, operations, engineering, supply chain, and finance. We're seeking a talented analyst who thrives at the intersection of data science and business strategy, with the technical expertise to build sophisticated analytics solutions and communication skills to influence stakeholders at all levels. In this role, you'll have the opportunity to design cutting-edge dashboards, develop ETL pipelines, and directly impact our company's performance through data-driven recommendations. If you're passionate about leveraging data to solve real-world business challenges and want to work with a collaborative team that values innovation, we encourage you to apply today and help us shape the future of our data analytics capabilities!

Essential Functions:

• Design, develop, and maintain advanced data visualization dashboards and reporting tools to monitor key performance indicators (KPIs) and business performance metrics
• Build and optimize Extract, Transform, and Load (ETL) solutions to create new data sources and integrate disparate data systems
• Develop software code using Python, SQL, and other programming languages for database management and back-end analytics infrastructure
• Apply statistical methodologies including ANOVA, design of experiments (DOE), statistical process control (SPC), and regression analysis to identify production trends and process improvements
• Partner with front-end software engineers to build integrated dashboarding and analytics solutions that provide near-real-time operational status
• Analyze business procedures and methods, recommending data-driven changes to improve efficiency and effectiveness
• Create and maintain technical documentation for analytics solutions, data models, and reporting processes 

Qualifications:

• Bachelor’s degree in industrial engineering, Statistics, Operations Research, Computer Science, Data Science, Management Science, Mathematics, or other quantitative/analytical discipline required and a minimum of 2 years of prior related experience. Graduate Degree or equivalent with 0 to 2 years of prior related experience. In lieu of a degree, minimum of 6 years of prior related experience.
• Minimum 2 years working experience working with SQL 
• Exprience applying statistical methods including ANOVA, design of experiments, statistical process control, and regression analysis
• Expeirence with data visualization and business intelligence tools (e.g., Power BI, Tableau)

Preferred Additional Skills:

• Minimum 1 year of experience with programming languages such as Python, R, or JavaScript
• Proficiency with statistical software packages such as Minitab, JMP, SAS, or SPSS for advanced analytics
• Experience building automated data pipelines and implementing DataOps best practices
• Industry-specific experience in manufacturing, aerospace, defense, or supply chain operations

#LI-CB1