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About Lifting Solutions

Lifting Solutions is a dynamic organization that designs, produces, distributes, and supports advanced artificial lift products known for exceeding market standards. Founded in Canada in 2014, the company has grown from 14 team members to over 300 employees operating across 28 locations in three countries, along with distributors in seven additional countries. The company manages two modern manufacturing facilities situated in Canada and Oman, utilizing cutting-edge technology to deliver superior products globally.

Role Overview

The Data and Business Analyst position involves leveraging data analytics and process optimization skills to address operational challenges within a manufacturing and service setting. The role focuses on enhancing operational efficiency, manufacturing output, planning, and refining business processes using extensive datasets maintained across various enterprise systems and production environments.

Key Responsibilities

Enhance accessibility to operational and financial data via enterprise reporting platforms.
Create business-friendly datasets, reports, and analytics tools.
Document and map relationships between critical business data sources.
Collaborate with business units to clarify data and reporting requirements.
Analyze product, service, and asset datasets to uncover trends and improvement opportunities.
Support projects aimed at boosting data integrity and quality in operational systems.
Develop monitoring tools and reports to detect data inconsistencies and process issues.
Work to improve the dependability of both client-facing and operational information.
Examine production, inspection, and quality data to link manufacturing processes with product results.
Investigate manufacturing performance issues, quality events, variability, and process efficiency.
Evaluate correlations among production parameters, inspection outcomes, and product performance.
Engage in initiatives targeting reduced manufacturing lead times and enhanced production planning.
Identify ways to improve planning visibility and support decision-making processes.
Contribute to optimizing scheduling and raw material planning operations.
Drive efforts to improve how operational data is captured and transferred internally.
Identify automation opportunities to minimize manual tasks and reduce redundant data entries.
Improve the consistency and quality of operational data utilized across the business.
Participate in projects involving custom-developed mobile and cloud-based operational tools.
Collaborate with stakeholders to formulate focused business queries solvable through existing data.
Design actionable analyses and dashboards to inform business decisions.
Validate analytics findings with teams and assist in implementing recommendations.
Champion a culture that prioritizes data-driven decision-making through practical advancements.

Required Skills and Experience

Background or experience in business analytics, data analytics, computer science, information systems, data visualization, statistical analysis, or process improvement.
Proficiency or familiarity with tools such as Excel, SQL, Power BI, Python, R, or comparable analytical platforms is advantageous.

Opportunities and Outcomes

Develop expertise in operational and business analytics.
Enhance skills in manufacturing and quality data examination.
Contribute to continuous process improvement efforts.
Support planning and forecasting enhancements.
Participate in data quality management activities.
Engage with enterprise and operational information systems.
Collaborate across multiple business functions and stakeholders.

Data and Business Analyst

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