MSA Safety is hiring for an entry level Data Analyst role in US

Position:

• Data Analyst, Global Quality

Company:

• MSA Safety

Location:

• Cranberry Township, Pennsylvania

Job Type:

• Full-Time

Job Mode:

• Hybrid

Job Requisition ID:

• 8418

Years of Experience:

• Not explicitly mentioned but internship or co-op also works

---

Company Description:

• MSA Safety is a purpose-driven organization centered on safety and innovation.
• The company’s mission focuses on protecting people and assets globally through cutting-edge technology and relentless problem-solving.
• Headquartered in Cranberry Township, Pennsylvania, MSA Safety prides itself on its commitment to quality, customer value, and operational excellence.
• It fosters a culture that values intellectual curiosity, teamwork, and continuous improvement.
• Employees at MSA Safety contribute to a legacy of protecting lives, ensuring everyone returns home safely every day.
• The company emphasizes diversity, equity, and inclusion, promoting a workplace free from discrimination and full of opportunities for growth and innovation.

---

Profile Overview:

• The Data Analyst role at MSA Safety is integral to enabling data-driven decision-making.
• You will be responsible for generating insights that enhance product quality and optimize business processes.
• This position involves developing reports, dashboards, and visualizations to track key performance indicators (KPIs) using tools such as Power BI.
• Collaboration is a cornerstone of this role, requiring you to work with cross-functional teams, including the central data team and operations technology units.
• Intellectual curiosity and a proactive approach to data storytelling and stakeholder engagement are crucial.
• The role emphasizes creating strong networks, energizing teams, and fostering a culture of continuous improvement.
• You will also act as a liaison between business functions and the central data team to ensure data consistency and alignment.

---

Responsibilities:

Key Duties:

• Collaborate with cross-functional teams to understand data requirements and translate them into actionable insights.
• Design and implement reports, dashboards, and visualizations using Power BI to track Quality-related KPIs and metrics.
• Perform in-depth data analysis to identify trends, patterns, and anomalies relevant to organizational goals.
• Present complex data findings effectively to technical and non-technical stakeholders.
• Promote data-driven decision-making across the organization.

Cross-Functional Collaboration:

• Work closely with the central data team to ensure data accuracy, consistency, and integrity.
• Participate in data governance activities, including data quality assessments and documentation.
• Act as a bridge between business units and the central data team to facilitate communication and knowledge sharing.
• Align data analytics initiatives with organizational goals and strategies.

Continuous Improvement:

• Stay updated with the latest trends in data analytics, visualization, and business intelligence tools.
• Actively seek opportunities to optimize processes and identify growth prospects through data-driven insights.
• Encourage a culture of innovation and continuous learning within the Quality function.

---

Qualifications:

Required:

• Proven experience in a Data Analyst or Analytics Analyst role (internship or co-op also works)
  
• Proficiency in Power BI for data visualization and reporting.
• Strong skills in handling large datasets and deriving actionable insights from complex data.
• Excellent analytical and problem-solving abilities.
• Effective communication skills for presenting data findings to diverse stakeholders.
• Ability to work collaboratively with cross-functional teams on multiple projects.
• Demonstrated independence and effectiveness in team settings.
• Commitment to continuous learning and staying updated on emerging trends in data analytics.
• Strong interpersonal skills and an enthusiastic approach to data-driven initiatives.

Preferred:

• Familiarity with Quality-related data and visualizations.
• Expertise in SQL and programming languages like Python or R.
• Understanding of data engineering, data science, and AI/ML principles.
• Knowledge of key Quality metrics and related concepts.

---

Additional Information:

• MSA Safety is committed to equal employment opportunities and fostering a workplace free from discrimination.
• The company supports diversity and inclusion across all aspects of employment.
• Reasonable accommodations are provided to qualified individuals with disabilities to support their success in the role.
• MSA Safety takes precautions against fraudulent job postings, emphasizing that all legitimate communications will come from specific email domains (e.g., @msasafety.com).
• Candidates should verify job postings on the MSA Career Center to ensure authenticity.
• MSA Safety does not request financial or sensitive personal information during the recruitment process.

---

Please click here to apply.

✖

Before you go further ...

or

Direct apply link!