Are you someone who is passionate, motivated, and driven to make a difference? If so, MSA Safety is the perfect fit for your career.

At MSA, SAFETY is who we are AND it is what we do. We are a purpose-driven company committed to deploying innovation and technology to deliver on our Mission to help protect people and assets all around the world. We continue to be relentless in our pursuit of solving our customers greatest problems so they can go home safe each and every day.

Are you in? Read on for more details about this particular role.

For more than 100 years, our passionate mission of safety empowers us to protect lives.

MSA Safety is a global leader in the development of safety equipment and pioneering technology that helps protect people and facility infrastructures around the world. We are committed to providing the latest in innovative, best in-class safety solutions that feature integrated systems capability and allow our customers to return safely to their families and friends. Every day our customers place their lives in our hands. In response, we provide them with protection they can trust. It is gratifying to lead the way as a source of inspiration. Would you like to join our team of more than 5,000 employees worldwide dedicated to this purpose? We hope so.

As a Data Analyst Intern, you will play a critical role in enabling data-driven decision-making by providing insights and recommendations to improve business performance, optimize processes, and identify growth opportunities. You will collaborate closely with stakeholders to understand their data requirements and translate them into effective analytical solutions. You will also leverage data analysis tools, such as Power BI, to develop reports, dashboards, and visualizations that track key performance indicators (KPIs) and metrics specific to the Connected Firefighter, specifically the FireGrid software platform.

MSA's Connected Firefighter platform, powered by FireGrid, distinctively links firefighting technologies like the self-contained breathing apparatus (SCBA) and the groundbreaking search and rescue device, LUNAR. This integration enables real-time monitoring for incident command and inventory management software. The Connected Firefighter team is actively seeking to grow by adding a proficient data analyst or data engineer intern dedicated to extracting valuable insights from product data, with the aim of developing our next generation of software products and connected devices that solve unique customer problems.

For this position, we put a high focus on interpersonal skills and attitude. You are passionate about people, customer-value, data, and storytelling. You are intellectually curious with a strong desire to drive continuous improvement. You can create strong networks, energize people, mobilize teams, and act as a positive influencer of change.

Responsibilities

• Collaborate with cross-functional teams to understand their data requirements and translate them into actionable insights
• Design and develop reports, dashboards, and data visualizations using tools like Power BI to track key performance indicators (KPIs) and metrics specific to FireGrid and the Connected Firefighter Platform
• Perform in-depth analysis of data to identify trends, patterns, and anomalies relevant to product usage, firefighter behaviors, and other relevant fire service information
• Communicate complex data findings effectively to both technical and non-technical stakeholders
• Contribute to a culture of data-driven decision-making and actively seek opportunities to optimize processes and identify growth opportunities
• Collaborate with the central data team to align data analytics initiatives, ensuring consistency, accuracy, and standardization of data across the organization
• Work closely with the central data team to leverage their expertise in data management, data governance, and data architecture to optimize data workflows and ensure data integrity
• Participate in data governance activities led by the central data team, including data quality assessments, data documentation, and data security measures
• Act as a liaison between the business function and the central data team, facilitating communication, knowledge sharing, and best practices in data analytics and data management
• Stay up to date with the latest trends and best practices in data analytics, data visualization, and business intelligence tools relevant to your business function

Required:

• Knowledge of applicable tools, processes, and best-practices in the industry
  • Hands-on experience with ETL and ELT tools as well as data warehouses
  • Amazon Web Services (AWS) with Redshift knowledge preferred
• Experience with Business Intelligence visualization tools such as PowerBI, Quicksight and Tableau. Power BI experience preferred
• Experience as a Data Analyst or Analytics Analyst, preferably within the relevant business function
• Solid understanding of relevant concepts and metrics within your business function
• Ability to work with large datasets, perform complex data manipulations, and derive meaningful insights
• Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations
• Strong communication skills, both written and verbal, with the ability to present complex data findings to non-technical stakeholders
• Ability to work collaboratively in cross-functional teams and manage multiple projects simultaneously
• Proven ability to work independently and collaborate effectively within cross-functional teams
• Continuous learning mindset, staying updated with the latest trends, techniques, and tools in data analytics and business intelligence
• Strong interpersonal skills and a collaborative, enthusiastic approach to design and delivery

Preferred:

• Expertise in SQL and proficiency in programming languages such as Python or R
• Familiarity with data engineering, data science, machine learning and artificial intelligence
• Candidate currently pursuing Master's in a relevant field.

Education and Experience Required:

• Minimum of 3-6 months of relevant work experience in data analytics, data analysis, or a similar role.
• Currently pursuing Bachelor's degree in a relevant field such as Business, Economics, Statistics, Computer Science, or a related discipline

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