Data Science and Business Intelligence Generalist

Develops, analyzes and models operational, economic, management, accounting and other organizational data. Prepares operations analyses, including analysis of competitors, operational effectiveness and capacity utilization. Prepares plans or recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry.

Responsibilities are within the Data Science & Business Intelligence job family group as a generalist or in a combination of job families.

We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected.

Position offers a starting salary range of $71,000 - $91,000 USD

Pay offered dependent on knowledge, skills, and experience.

Benefits include annual bonus program; 401kcompany contribution with company match up to 6% as well as non-elective company contribution of3 - 7% depending on age;starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program;comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-termand long-term disability plans.

Data Mining, Extraction and Analysis
- Identify relevant data sources, collect data, and perform various analytical techniques to extract insights using SQL, Excel, Python, or specialized analytics software.

Develop, analyze and model operational, manufacturing, and other organizational data.

Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

Enterprise Data
- Manage and maintain standards and governance for capturing, modeling, storing, and delivering data to the enterprise. Identify data-related business requirements and service standards (i.e., transaction processing speed, reporting capabilities, scalability, etc.). Work with enterprise data models and understand actual and conceptual views of related data sub-architectures (i.e., database, data integration, data warehouse/business intelligence).

Data Visualization and Reporting
- Create visually appealing and meaningful reports, dashboards, and visualizations to communicate analytical findings and insights to both technical and non-technical stakeholders using tools like Power BI, Grafana, or other analytical data presentation software.

Power Platform Solutions
- Participate in the design, development, and maintenance of business solutions using Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and related data sources. Translate business requirements into low-code applications, automated workflows, reports, and dashboards. Participate in testing, deployment, documentation, user support, and ongoing solution improvements.

AI and Intelligent Automation
- Support the evaluation and development of practical AI solutions that address business needs. Assist with identifying use cases, preparing and validating data, documenting requirements, testing outputs, and monitoring solution effectiveness.

Technical Support
- Provide technical support to cross-functional teams during implementation, troubleshooting, and maintenance of data analytic and technology solutions. Participate inthe maintenance and support activities for the data analytics platforms, including monitoring performance, troubleshooting issues, and implementing enhancements…