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Data and Business Analyst

Lifting Solutions Energy Services
Edmonton, AB

Postuler rapidement

Détails du poste

Il y a 4 heures

Compétences

Power BI
Microsoft Excel
R
Analyse de données
Amélioration des processus
SQL
Analyse statistique
Production
Visualisation de données
Affaires
Python
Analytique

Description complète du poste

Who we Are:
Lifting Solutions is a high-performing team that engineers, manufactures, distributes, sells, and services artificial lift products that outperform the market. Since our inception in Canada in 2014, we have expanded from 14 colleagues to over 300 across 28 locations in three countries and distributors in seven additional countries. We are proud to operate two state-of-the-art manufacturing facilities, one in Canada and one in Oman, where we leverage the latest technology to deliver high-performance products to clients worldwide.

Are you interested in applying data, analytics, and process improvement skills to solve real operational challenges in a manufacturing and service environment?

We are seeking a Data & Business Analyst to support initiatives focused on operational efficiency, manufacturing performance, planning, and business process improvement.

The organization maintains significant operational, manufacturing, quality, and financial data across enterprise systems, reporting tools, internally developed applications, and production environments. Opportunities exist to improve how this data is accessed, connected, and used to support decision-making.

In this role, you will work with stakeholders across operations, manufacturing, finance, supply chain, and technology teams to identify practical opportunities for improving data quality, process efficiency, and business insight. Projects will focus on solving business challenges using data and systems.

What Will You Do?

Business Data & Operational Reporting

Assist with improving access to operational and financial data currently available in enterprise reporting platforms
Support creation of business-friendly datasets, reports, and analytical tools
Help document relationships between key business data sources
Work with business users to better understand data requirements and reporting needs

Product, Asset & Service Data Analysis

Analyze product, service, and asset-related data to identify patterns, trends, and opportunities for improvement
Support initiatives aimed at improving data quality and integrity across operational systems
Assist with developing reports and monitoring tools that help identify data inconsistencies and business process issues
Work with teams to improve the reliability of client-facing and operational information

Manufacturing & Quality Analytics

Analyze production, inspection, and quality-related datasets to identify relationships between manufacturing processes and product outcomes
Support investigations into manufacturing performance, quality events, production variability, and process efficiency
Assist with evaluating correlations between production parameters, inspection results, and product performance
Contribute to projects focused on reducing manufacturing lead times and improving production planning

Planning & Forecasting Support

Help identify opportunities to improve planning visibility and decision-making
Contribute to projects to optimize production scheduling and raw material planning processes

Operational Process Improvement

Support initiatives that improve how operational information is captured and transferred between systems
Assist with evaluating opportunities to automate manual processes and reduce duplicate data entry
Help improve the quality and consistency of operational data used by the business
Participate in projects related to internally developed mobile and cloud-based operational tools

Targeted Business Analytics

Work with stakeholders to identify focused business questions that can be answered using existing data
Develop practical analyses and dashboards that provide actionable insights
Validate findings with business teams and assist with implementation of recommendations
Support a culture of data-driven decision-making through incremental and practical improvements

Skills and Experience

The ideal candidate will have experience or education in one or more of the following areas:

Business Analytics
Data Analytics
Computer Science
Information Systems
Data Visualization
Statistical Analysis
Process Improvement

Experience with tools such as Excel, SQL, Power BI, Python, R, or similar analytical tools would be considered an asset.

Position Outcome

By contributing to this role, the right candidate will gain experience in:

Operational and business analytics
Manufacturing and quality data analysis
Process improvement initiatives
Planning and forecasting support
Data quality management
Enterprise and operational systems
Cross-functional stakeholder engagement

Projects will focus on delivering practical improvements that support operational efficiency, manufacturing performance, planning accuracy, data quality, and business insight.

Postuler rapidement

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