Business & Data Analyst

Job Description

Job Description

This position is on-site in Newark, NY. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Position Overview Ultralife Corporation is seeking a

Business & Data Analyst

to drive data-driven decision-making across our Newark, NY manufacturing facility. This role will develop and maintain data solutions that connect

MRP, Financial, Sales, and Engineering/R&D systems

and transform information into actionable insights for plant and business leadership. The ideal candidate combines strong technical skills in

SQL, Python, Power BI, and data modeling

with the business understanding needed to translate complex data into meaningful performance insights. Key Responsibilities Data Integration, Architecture & Automation Develop and maintain data models and pipelines connecting

MRP, Financial, Sales, and Engineering/R&D systems

. Design structured data models, including relational and Star Schema architectures, to support reporting and analytics. Write and optimize SQL/T-SQL queries for data extraction and transformation. Develop ETL/data transformation processes using Power Query, Python, or other appropriate tools. Build, maintain, and continuously improve automated data and document management workflows. Establish data-quality checks and processes to ensure accurate, consistent, and reliable reporting. Identify opportunities to automate manual data, reporting, and business processes. Power BI & Business Intelligence Design, develop, and maintain Power BI dashboards and reports for plant and business leadership. Develop dashboards covering:

Production and operational performance Inventory and supply chain metrics Financial and business performance Sales and customer metrics Engineering & R&D project tracking Quality and other key business KPIs

Develop advanced DAX measures and Power Query transformations. Optimize Power BI models and reports for performance and usability. Establish consistent KPI definitions and reporting standards. Business & Operational Analysis Partner with the Plant Manager and functional leaders to identify business questions and analytical opportunities. Analyze operational, financial, sales, and project data to identify trends, risks, bottlenecks, and opportunities. Translate complex data into clear insights and actionable recommendations. Support continuous improvement and strategic decision-making through data analysis. Automate manual reporting and develop self-service analytical tools where appropriate. Cross-Functional Collaboration Work closely with Operations, Supply Chain, Finance, Sales, Engineering/R&D, and IT to understand requirements and develop effective data solutions. Serve as a bridge between technical data resources and business users. Document data sources, models, calculations, and reporting processes. Provide guidance and support to users of Power BI and analytical tools. Required Qualifications & Experience Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, or related field. 3+ years of experience

in business analysis, data analytics, business intelligence, or a related role. Strong proficiency in

SQL/T-SQL

and relational databases. 3+ years of Power BI experience

, including advanced DAX and Power Query. Strong understanding of data modeling and Star Schema design. Python programming experience required. Experience developing data pipelines, ETL processes, or automated reporting solutions. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience in a manufacturing or engineering environment. Experience integrating data from multiple business systems. Experience with financial, sales, project management, or engineering/R&D data. Experience with data warehouse or enterprise data architecture concepts. Experience implementing Power BI security and governance. Key Competencies Analytical & Business Thinking:

Connect data to business performance and decisions. Technical Expertise:

Strong SQL, Python, Power BI, DAX, Power Query, and data modeling skills. Automation Mindset:

Identify and implement opportunities to streamline data and document workflows. Communication:

Clearly explain technical information and analytical findings to non-technical stakeholders. Problem-Solving:

Independently investigate data and business issues and develop practical solutions. Ownership:

Take projects from requirements through implementation and ongoing improvement. Collaboration:

Work effectively across Operations, Finance, Sales, Engineering/R&D, and IT.

Ultralife Corporation is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, color, religion, sexual orientation, gender identity, national origin, citizenship, sex, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at View phone number on click.appcast.io. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.