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Business Data Analyst

Kaman Corporation

Salary not specified
Aug 27, 2025
Bloomfield, CT, US
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Kaman Specialty Bearings & Engineered Products is looking to centralize and modernize data reporting and dashboarding across the company, and is seeking a Business and Data Analyst to lead this initiative.

Requirements

  • Hands-on experience with Crystal Reports and modern dashboarding tools like Power BI, Mendix, or similar
  • Experience working with ERP data (IFS preferred)
  • Familiarity with Lean principles and manufacturing operations is required
  • Proficiency with Power BI and Crystal Reports, Mendix (preferred)
  • Data extraction, transformation, and analysis from ERP systems
  • Strong data visualization and dashboard design skills
  • Knowledge of KPI frameworks and operational reporting needs

Responsibilities

  • Lead the design, conversion, and migration of Crystal Reports to modern reporting tools such as Power BI, IFS report writer, or Mendix.
  • Own the development and maintenance of dashboards that support daily, weekly, and monthly operations reviews, including Gemba reports.
  • Drive the planning, design, and ownership of the Kamatics Obeya room to visualize key KPIs and align business objectives across departments.
  • Collaborate with business stakeholders to define, refine, and guide KPI selection across departments, focusing on manufacturing and operational performance.
  • Work closely with the ERP team to extract, clean, and structure data for analysis and reporting.
  • Assist in the development and enhancement of Mendix-based applications and dashboards for all departments.
  • Establish standard practices and governance for business reporting and data visualization across the company.

Other

  • Bachelor’s degree in data science, business analytics, computer science, engineering, or a related field.
  • 3+ years of experience in business or data analysis roles
  • Excellent communication and cross-functional collaboration
  • Ability to manage multiple priorities and stakeholders
  • Attention to detail and data accuracy