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Data Analyst III

Description

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 using Power BI, Tableau, or similar BI tools.
  • Strong SQL development and data analysis experience.
  • Experience working with large datasets from multiple enterprise systems.
  • Experience gathering business requirements and translating them into analytical solutions.
  • Experience supporting data quality, KPI development, and performance metrics.

Preferred

  • Experience working with Master Data Management (MDM) solutions.
  • Experience with Informatica MDM and Informatica IDQ.
  • Experience with Databricks, Apache Spark, or cloud analytics platforms.
  • Experience with Azure, AWS, or GCP environments.
  • Experience supporting data governance initiatives.
  • Working knowledge of Agile methodologies.
  • Experience with Python for data analysis and automation.
  • Experience with data warehousing concepts and dimensional modeling.

Technical Skills


Analytics & Visualization

  • Power BI
  • Tableau
  • Excel Advanced Analytics
  • Dashboard Design
  • KPI Development
  • Data Visualization Best Practices

Data & Database Technologies

  • SQL
  • Databricks
  • Data Warehousing
  • Relational Databases
  • Data Modeling Concepts
  • Data Quality Analysis

Preferred Technologies

  • Informatica MDM
  • Informatica IDQ Analyst
  • Informatica IDQ Developer
  • Python
  • Apache Spark
  • Delta Lake
  • Git
  • Azure DevOps
  • Cloud Data Platforms

Key Competencies


Technical Competencies

  • Data Analysis and Interpretation
  • Business Intelligence and Dashboard Development
  • Data Quality Management
  • Data Governance Awareness
  • Statistical Analysis
  • Root Cause Analysis
  • Master Data Concepts
  • Data Storytelling

Behavioral Competencies

  • Strong analytical and problem-solving mindset
  • High attention to detail and data accuracy
  • Organized and results-oriented
  • Effective written and verbal communication skills
  • Strong stakeholder management and collaboration skills
  • Continuous learning mindset
  • Customer-focused approach to analytics delivery
  • Creative and innovative thinker
  • Ability to manage multiple priorities in a fast-paced environment

#LI_Hybrid


About Regal Rexnord


Regal Rexnord is a publicly held global industrial manufacturer with 30,000 associates around the world who help create a better tomorrow by providing sustainable solutions that power, transmit and control motion. The Company’s electric motors and air moving subsystems provide the power to create motion. A portfolio of highly engineered power transmission components and subsystems efficiently transmits motion to power industrial applications. The Company’s automation offering, comprised of controls, actuators, drives, and precision motors, controls motion in applications ranging from factory automation to precision control in surgical tools.


The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.


Regal Rexnord is comprised of three operating segments: Industrial Powertrain Solutions, Power Efficiency Solutions, and Automation & Motion Control. Regal Rexnord has offices and manufacturing, sales and service facilities worldwide. For more information, including a copy of our Sustainability Report, visit RegalRexnord.com.



Notification to Agencies: Please note that Regal Rexnord Corporation and its affiliates and subsidiaries ("Regal Rexnord") do not accept unsolicited resumes or calls from third-party recruiters or employment agencies. In the absence of a signed Master Service Agreement or similar contract and approval from HR to submit resumes for a specific requisition, Regal Rexnord will not consider or approve payment to any third-parties for hires made.

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