Data Science and Business Intelligence Generalis

Payrate: $58.00 - $60.00/hr. Summary: The Application Developer is a key contributor within the Quality Management data analytics team. This position focuses on hands-on development of scalable data, analytics, and visualization tools that support the Global Quality organization. The ideal candidate is an experienced developer who enjoys building robust solutions, collaborating with cross-functional partners, and improving the team’s technical capabilities. Job Responsibilities: • Design, develop, and maintain full-stack analytics applications and dashboards that enable data-driven decision-making across Quality and Manufacturing. • Develop and optimize data pipelines and ETL processes that integrate data from multiple enterprise systems and support scalable analytics use cases. • Create intuitive and interactive visualizations that clearly communicate trends, patterns, and operational insights. • Collaborate with Quality Management, engineering, manufacturing, warranty, and field service teams to translate business requirements into technical specifications. • Partner with cross-regional analytics and IT teams to ensure compatibility with established architecture, data governance frameworks, and global standards. • Contribute to the development of AI-driven and automation-focused tools using time-series analysis, ML-assisted analytics, and retrieval-augmented generation. • Participate in code reviews, share best practices, and support continuous improvement of team development standards. • Assist with user onboarding, documentation, and troubleshooting to support successful tool adoption. • Help maintain governance of user access, security controls, and development templates across the Quality analytics ecosystem. Qualifications: • Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, Technology, or a related field. • 4+ years of experience in full-stack development, data engineering, or business intelligence Strong analytical and problem-solving skills, with the ability to translate business questions into scalable technical solutions. • Prior experience developing in cloud environments or PaaS services such as Azure or AWS. • Experience building and interacting with APIs and integrating multiple enterprise data sources. • Knowledge of data modeling, data marts, and data warehouses using SQL, Python, or SAP-based systems. • Ability to communicate complex technical concepts to non-technical audiences and facilitate cross-functional collaboration. • Familiarity with cloud-based analytics platforms such as Palantir Foundry, Databricks, or Snowflake. Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $60.00 /hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 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