Emerson Electric

Builds industrial automation tools and software

Senior Data Analyst

Data Analysis +1Confirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Information Systems, Systems Engineering, Data Management, Data Analytics, Computer Science, Mathematics, Software Engineering, Statistics, Accounting, Finance, or a related field is required.
At least five years of experience in data analytics, business intelligence, or related analytical roles is required.
Strong SQL experience working with large, complex datasets is required.
Proficiency with Microsoft Excel, Power BI, and Microsoft Fabric is required.
Knowledge of data engineering workflows, ETL processes, or modern data architecture is required.
Demonstrated ability to transform raw data into meaningful insights and actionable business recommendations is required.
Experience collaborating with cross-functional teams and supporting global stakeholders is required.
Strong communication, presentation, and data storytelling skills are required.
Strong analytical, organizational, and problem-solving abilities, including the ability to manage multiple priorities, are required.
A self-starter with a continuous improvement mindset is required.

Responsibilities

Lead the acquisition, analysis, and visualization of complex datasets to support informed decisions on pricing strategies, product performance, customer behavior, and market opportunities.
Develop, maintain, and enhance executive-level reporting for supply chain, backlog of sales orders, purchase orders, supplier lead times and performance, inventory management, and key business metrics.
Investigate reporting discrepancies by partnering with global business users to identify root causes and improve data accuracy.
Drive continuous improvement of self-service analytics tools used across the organization.
Design and maintain scalable data models and datasets that provide business users with reliable, easy-to-use insights.
Evaluate and implement modern AI-powered capabilities that improve data quality, searchability, and the overall analytics user experience.
Extract, transform, and analyze large datasets from transactional databases to identify trends and deliver actionable business recommendations.
Partner with business teams to identify and resolve data quality issues through process improvements, documentation, and user training.
Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders.
Mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and best practices.
Collaborate with product management, sales, engineering, operations, and other business functions to ensure analytics align with strategic objectives.
Communicate complex data processes, methodologies, and business insights clearly and concisely to technical and non-technical audiences.
Lead and support continuous improvement initiatives that enhance operational performance and business decision-making.

Desired Qualifications

Experience with AI and machine learning tools or data quality automation solutions is preferred.
Experience supporting manufacturing, industrial automation, or other complex product-based organizations is preferred.
Knowledge of pricing analytics, product lifecycle management (PLM), or operational planning metrics is preferred.
Experience mentoring analysts or leading analytical initiatives is preferred.
Experience with Python is preferred.
Experience with Tableau is preferred.

In This Role, Your Responsibilities Will Be:

Lead the acquisition, analysis, and visualization of complex datasets to support informed decisions on pricing strategies, product performance, customer behavior, and market opportunities
Develop, maintain, and enhance executive-level reporting for supply chain, backlog of sales orders, purchase orders, supplier lead times and performance, inventory management, and key business metrics
Investigate reporting discrepancies by partnering with global business users to identify root causes and improve data accuracy
Drive continuous improvement of self-service analytics tools used across the organization
Design and maintain scalable data models and datasets that provide business users with reliable, easy-to-use insights
Evaluate and implement modern AI-powered capabilities that improve data quality, searchability, and the overall analytics user experience
Extract, transform, and analyze large datasets from transactional databases to identify trends and deliver actionable business recommendations
Partner with business teams to identify and resolve data quality issues through process improvements, documentation, and user training
Define analytical and data requirements for cross-functional initiatives involving data engineering, product teams, and global stakeholders
Mentor junior analysts by providing guidance on analytical methodologies, reporting standards, and best practices
Collaborate closely with product management, sales, engineering, operations, and other business functions to ensure analytics align with strategic objectives
Communicate complex data processes, methodologies, and business insights in a clear, concise manner for technical and non-technical audiences
Lead and support continuous improvement initiatives that enhance operational performance and business decision-making

Who You Are:

You step up to handle tough issues. You carefully consider all relevant factors and use appropriate decision-making criteria and principles. You understand that different situations may call for different approaches. You partner with others to get work done.

For This Role, You Will Need:

Bachelor's degree in Information Systems, Systems Engineering, Data Management, Data Analytics, Computer Science, Mathematics, Software Engineering, Statistics, Accounting, Finance, or a related field
Five (5) or more years of experience in data analytics, business intelligence, or related analytical roles
Strong SQL experience working with large, complex datasets
Proficiency with Microsoft Excel, Power BI, and Microsoft Fabric
Knowledge of data engineering workflows, ETL processes, or modern data architecture
Demonstrated ability to transform raw data into meaningful insights and actionable business recommendations
Experience collaborating with cross-functional teams and supporting global stakeholders
Excellent communication, presentation, and data storytelling skills
Strong analytical, organizational, and problem-solving abilities with the ability to manage multiple priorities
Self-starter with a continuous improvement mindset

Preferred Qualifications That Set You Apart:

Experience with AI and machine learning tools or data quality automation solutions
Experience supporting manufacturing, industrial automation, or other complex product-based organizations
Knowledge of pricing analytics, product lifecycle management (PLM), or operational planning metrics
Experience mentoring analysts or leading analytical initiatives
Experience with Python
Experience in Tableau

Our Culture & Commitment to You:

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams working together are key to driving growth and delivering business results.
At Emerson, innovation, integrity, collaboration, and inclusion are at the heart of everything we do. We welcome talented individuals from a wide range of backgrounds, experiences, and career paths. We are committed to providing equitable opportunities and creating an environment where everyone can contribute, develop, and succeed. By joining our team in Debrecen, you will have the opportunity to work on meaningful challenges, collaborate with colleagues around the world, and help shape solutions that make a positive impact on our customers and communities.

About the Company

Emerson Electric

Builds industrial automation tools and software

Emerson Electric builds automation equipment and software for organizations that operate factories, utilities, and industrial facilities. Its instruments measure conditions such as pressure and flow, while valves, controllers, and software help operators regulate processes and track equipment performance. DeltaV manages industrial control systems, and the company also develops test and measurement tools used to validate electronic products. Customers pay for equipment, software licenses, and services that support installation, maintenance, and operation across a plant's life. Emerson was founded in 1890 and is headquartered in Clayton, Missouri, in the St. Louis area.

Company size: 10,001+
Company stage: IPO
Headquarters: Clayton, MO
Founded: 1890

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