Job description

Do you love transforming raw data into powerful insights that spark innovation and drive bold decision‑making? Are you energized by the thrill of diving into data to uncover hidden insights that shape smarter, faster decisions? Emerson is seeking a Senior Analyst to lead analytical initiatives that support pricing, product management, operational planning, and strategic market opportunities across our business units. In this senior role, you will provide advanced analytical expertise, guide data quality improvements, enhance self‑service analytics tools, and partner with global stakeholders to create high‑impact reporting and insights. 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 sales, orders, quotes, pricing performance, 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 SQL 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 Python, Microsoft Excel, Power BI, and Microsoft Fabric. • 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. • Knowledge of data engineering workflows, ETL processes, or modern data architecture. • 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. 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. We recognize the importance of employee wellbeing. We prioritize providing flexible, competitive benefits plans to meet you and your family’s physical, mental, financial, and social needs. We provide a variety of medical insurance plans, with dental and vision coverage, Employee Assistance Program, 401(k), tuition reimbursement, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. Do you love transforming raw data into powerful insights that spark innovation and drive bold decision‑making? Are you energized by the thrill of diving into data to uncover hidden insights that shape smarter, faster decisions? Emerson is seeking a Senior Analyst to lead analytical initiatives that support pricing, product management, operational planning, and strategic market opportunities across our business units. In this senior role, you will provide advanced analytical expertise, guide data quality improvements, enhance self‑service analytics tools, and partner with global stakeholders to create high‑impact reporting and insights.

Requirements

Must-haves

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 sales, orders, quotes, pricing performance, 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 SQL 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.
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 Python, Microsoft Excel, Power BI, and Microsoft Fabric.
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.
Experience with AI and machine learning tools or data quality automation solutions.
Knowledge of data engineering workflows, ETL processes, or modern data architecture.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonmachine learning

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave