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IT / Software / Data Analyst
Return to Search ResultJob Post Details Data Analyst- job post Precon Manufacturing Ltd
IT / Software / Data Analyst
#804173
Remote / WFH
Precon Manufacturing Ltd
Job Description
Full job description
Precon is looking for a highly motivated individual to fill the role of Data Analyst.
As our Data Analyst, you'll turn raw operational and financial data into clear, actionable insight that shapes decisions across the business. Working closely with the Accounting Team and IT, you'll build and maintain reports and dashboards, dig into variance and trend analysis, and find opportunities to improve data quality, collection, and efficiency. You'll also help optimize our Business Central ERP system and contribute to strategic projects spanning capital planning, HR, and Health & Safety.
This is a great fit for someone who's analytically minded, detail-oriented, and just as comfortable presenting a finding to leadership as they are cleaning up a messy dataset. You'll get hands-on coaching and training, plus exposure to multiple corners of supply chain management in a fast-paced, collaborative manufacturing environment.
Reports to: Data & Analytics Manager
Key Responsibilities
Reporting & Data Analysis
Analyze financial and operational results and manufacturing costs; perform variance analysis against forecast and budget and make recommendations to management.
Monitor and report on the financial side of inventory management, providing suggestions for improved processes to enhance data accuracy and timeliness.
Build and maintain new and existing reports, dashboards, and data visualizations to support business decision-making.
Deliver accurate and timely data, feedback, and reporting to support informed decision-making across the organization.
Business Central (ERP) Support
Support Business Central ERP optimization, including system configuration, feature rollouts, troubleshooting, and training on system capabilities across the organization.
Data Quality & Process Improvement
Receive and act on data quality findings escalated by the Production Data Specialist; analyze patterns, identify root causes, and provide actionable recommendations to stakeholders.
Precon is looking for a highly motivated individual to fill the role of Data Analyst.
As our Data Analyst, you'll turn raw operational and financial data into clear, actionable insight that shapes decisions across the business. Working closely with the Accounting Team and IT, you'll build and maintain reports and dashboards, dig into variance and trend analysis, and find opportunities to improve data quality, collection, and efficiency. You'll also help optimize our Business Central ERP system and contribute to strategic projects spanning capital planning, HR, and Health & Safety.
This is a great fit for someone who's analytically minded, detail-oriented, and just as comfortable presenting a finding to leadership as they are cleaning up a messy dataset. You'll get hands-on coaching and training, plus exposure to multiple corners of supply chain management in a fast-paced, collaborative manufacturing environment.
Reports to: Data & Analytics Manager
Key Responsibilities
Reporting & Data Analysis
Analyze financial and operational results and manufacturing costs; perform variance analysis against forecast and budget and make recommendations to management.
Monitor and report on the financial side of inventory management, providing suggestions for improved processes to enhance data accuracy and timeliness.
Build and maintain new and existing reports, dashboards, and data visualizations to support business decision-making.
Deliver accurate and timely data, feedback, and reporting to support informed decision-making across the organization.
Business Central (ERP) Support
Support Business Central ERP optimization, including system configuration, feature rollouts, troubleshooting, and training on system capabilities across the organization.
Data Quality & Process Improvement
Receive and act on data quality findings escalated by the Production Data Specialist; analyze patterns, identify root causes, and provide actionable recommendations to stakeholders.
