Work Model: You’ll work in a hybrid model, onsite at your designated Regal Rexnord location, with flexibility to work remotely.
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Position Summary
As data becomes increasingly critical to operational efficiency, business intelligence, and strategic decision-making, the Data Analyst III plays a key role in transforming enterprise data into actionable insights that drive business outcomes. This position supports the Data Services team by developing and maintaining dashboards, performing advanced data analysis, monitoring data quality metrics, and delivering meaningful reporting solutions across Customer, Supplier, Item, and other master data domains.
The Data Analyst III works closely with business stakeholders, data engineers, MDM teams, and leadership to identify trends, measure operational performance, and enable data-driven decision making. Leveraging modern analytics platforms including Databricks, Informatica, cloud technologies, and visualization tools such as Power BI and Tableau, this role helps Regal Rexnord maximize the value of its enterprise data assets while improving data visibility, governance, and business performance.
Essential Responsibilities and Duties
Dashboard Development & Reporting
Design, develop, enhance, and maintain enterprise dashboards and scorecards using Power BI, Tableau, or similar analytics platforms.
Create meaningful visualizations that communicate trends, business performance, operational metrics, and data quality indicators.
Develop self-service reporting solutions that enable business users to access data insights efficiently.
Partner with business stakeholders to gather reporting requirements and translate them into scalable dashboard solutions.
Ensure reporting accuracy, consistency, and alignment with enterprise data definitions and governance standards.
Data Analysis & Insights
Perform exploratory and advanced data analysis to identify trends, patterns, anomalies, and opportunities for business improvement.
Develop KPIs, operational metrics, and scorecards to measure business performance and data quality.
Support root cause analysis for data quality and business process issues.
Deliver actionable recommendations based on data findings and business requirements.
Conduct ad hoc analysis to support strategic initiatives and operational decision-making.
Master Data & Data Quality Support
Analyze Customer, Supplier, Item, and other enterprise master data domains.
Support MDM and Data Quality initiatives through data profiling, validation, cleansing, and monitoring activities.
Develop data quality dashboards and scorecards to measure completeness, accuracy, consistency, and timeliness.
Collaborate with Data Stewards and business teams to identify and resolve data quality issues.
Data Platform & Analytics Support
Query and analyze large datasets using Databricks, SQL, and cloud-based data platforms.
Collaborate with Data Engineers to validate data pipelines and reporting datasets.
Support data model validation, metric definitions, and reporting layer design.
Ensure data used for reporting is reliable, available, and aligned with business requirements.
Participate in testing and validation of new analytics solutions and enhancements.
Stakeholder Engagement
Work closely with business stakeholders to understand requirements and identify opportunities for analytics-driven improvements.
Present analytical findings and recommendations to various business and technical audiences.
Document reporting logic, KPI definitions, business rules, and analytical methodologies.
Provide end-user support and training for analytics and reporting solutions.
Education
Bachelor's Degree in one of the following:
Computer Science
Information Technology
Data Science
Statistics
Mathematics
Engineering
Business Analytics
Or equivalent experience
Experience
Required
3-5 years of experience in data analysis, business intelligence, reporting, or analytics.
Experience developing dashboards and reports…