Power BI Developer, Data Analytics

Msa Agency - Cranberry Township, PA

Full-time

Cranberry Township, PA

Miscellaneous Manufacturing

About the position

The Power BI Developer role at MSA Safety focuses on creating analytical solutions that enhance decision-making processes through data visualization and business intelligence. The position requires collaboration with business leaders to understand their information needs and translate them into effective data products. The developer will advocate for data-driven decision-making across the organization, utilizing innovative techniques to deliver insights that support the company's mission of safety and protection.

Responsibilities

• Engage, collaborate, and partner with business leaders to understand workflows and information needs.
• Translate information needs into analytics and business intelligence solutions.
• Design, develop, and deliver compelling data products using data storytelling and user-centric design.
• Provide analytical and technical support, thought guidance, and best practices for data visualization and analytic solutions.
• Teach and advocate the use of data visualization and analytics tools across the organization.

Requirements

• Minimum of 3-5 years' experience developing analytical solutions with Microsoft Power BI.
• Excellent analytical and problem-solving skills.
• Strong communication skills, both written and verbal.
• Proven ability to work independently and collaborate effectively within cross-functional teams.
• Ability to prioritize and plan complex tasks in a rapidly changing environment.
• Continuous learning mindset, staying updated with trends in data analytics.

Nice-to-haves

• Experience with the Snowflake Platform.
• Experience with Power Apps, Power Automate, and Power Virtual Agents.
• Experience in Microsoft Fabric technologies.
• Familiarity with AWS Technologies.
• Experience working with data sourced from SAP ECC, Salesforce, or Oracle EPM.
• Expertise in SQL and proficiency in programming languages such as Python or R.
• Familiarity with data engineering, data science, machine learning, and artificial intelligence.