Data Analyst

Posted 6 Days Ago
Buffalo, NY, USA
In-Office
60K-75K Annually
Junior
Aerospace
The Role
Collects, analyzes, and interprets Environmental Health and Safety data to identify trends and support compliance and risk management. Develops dashboards and reports, ensures data accuracy and integrity, provides process improvement recommendations, supports EHS initiatives, and collaborates with IT and engineering teams on data ecosystems.
Summary Generated by Built In

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.


Job Title:

Data Analyst

Reporting To:

Management, Business Program Management

Work Schedule:

Hybrid – Buffalo, NY

Our Environmental Health & Safety (EHS) team in the Corporate Group is looking for a Data Analyst to join them.


You will report to the Environmental Health & Safety Global Services Manager.


In this role, you will collect, analyze, and interpret Environmental Health & Safety data to support compliance and risk management. You will develop dashboards and reports to monitor EHS performance metrics, collaborate with team members to ensure data accuracy, and provide data-driven recommendations to improve processes. 


This role works on a hybrid schedule and requires you to be onsite at our corporate headquarters in East Aurora, New York several days each week. 


To be considered for the Data Analyst role, here’s what you’ll typically need to bring with you:

  • Bachelor’s degree in Data Science, Statistics, Environmental Science, or a related field.
  • Foundational knowledge of data analysis concepts and techniques.
  • At least 1 year of experience with tools such as Excel, SQL, Python, or Power BI.
  • Strong analytical and problem-solving skills.
  • Ability to communicate insights to non-technical stakeholders.
  • Must live locally to the Buffalo area (no relocation assistance).
  • U.S. citizenship required due to access to certain data. 


As a Data Analyst, you will:

  • Collect, analyze, and interpret EHS data to identify trends, patterns, and insights.
  • Develop and maintain dashboards and reports to monitor EHS performance metrics across the company.
  • Collaborate with EHS team members to identify data needs and ensure data accuracy.
  • Provide data-driven recommendations to improve EHS processes and compliance.
  • Support development and implementation of EHS initiatives through data analysis.
  • Ensure data integrity and confidentiality in all data handling processes.
  • Partner with IT and engineering teams to build and maintain data ecosystems. 

How We Care for You:

  • Financial Rewards: great compensation package, annual profit sharing, matching 401k, and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts
  • Work/Life Balance: Flexible paid time off, holidays and parental leave program, relocation assistance.
  • Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
  • Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs
  • Diverse and Inclusive Workplace: Employee Resource Groups, cultural events, and celebrations.

Salary Range Transparency:

Buffalo, NY $60,000.00–$75,000.00 Annually

Salary Range Disclaimer

The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. 


This position requires access to U.S. export-controlled information.


Moog offers an inclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, 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 844-367-5787.


No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.

Skills Required

  • Bachelor’s degree in Data Science, Statistics, Environmental Science, or a related field
  • Foundational knowledge of data analysis concepts and techniques
  • At least 1 year of experience with Excel, SQL, Python, or Power BI
  • Strong analytical and problem-solving skills
  • Ability to communicate insights to non-technical stakeholders
  • Must live locally in the Buffalo area; no relocation assistance
  • U.S. citizenship
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The Company
HQ: East Aurora, NY
7,850 Employees
Year Founded: 1951

What We Do

We work on some of the world’s most exciting technical projects, creating products that challenge the limits of what’s possible, from cutting-edge medical technology to space vehicles. Our formula includes one simple, surprising low-tech element that makes us stand out from everyone else: Trust. We trust each other to work hard and do the right thing. We give people credit for their ideas. We take pride in sticking with a problem until it’s solved. We value you for who you are as much as what you can do. We enjoy what we do. And you can do it, too.

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