MSA - The Safety Company ยท 2 weeks ago
Data Analyst, Global Quality
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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 related to Quality
Perform in-depth analysis of data to identify trends, patterns, and anomalies relevant to your business function.
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, operations technology and other members of the Quality function 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
Qualification
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Required
Experience as a Data Analyst or Analytics Analyst
Strong proficiency in Power BI
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
Experience working with Quality-related data and visuals
Expertise in SQL and proficiency in programming languages such as Python or R
Familiarity with data engineering, data science, machine learning and artificial intelligence
Solid understanding of relevant concepts and metrics related to Quality