Inventory Control, Quality Manager – 1st Shift

Jobtailor; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a Senior Inventory Analytics Engineer to lead inventory analytics initiatives and drive accuracy across our inventory systems. You will design and deploy BI inventory reporting packages, ensuring analytics support KPI attainment and informed decision-making.

You will mentor a team of Inventory Analysts, foster cross-functional collaboration, and engage stakeholders to align priorities and development plans, while promoting best practices and new tools across the

Qualifications

• 4 years of inventory control experience required.
• Proficiency in Microsoft Office.
• Experience with computerized scanner equipment.
• Bachelor degree in Mathematics, Engineering, Computer Science, or related field preferred.
• TDWI certification and R/Python certifications preferred.
• 3+ years of delivering BI and data analytics solutions with statistical modeling preferred.
• Understanding of data warehouse concepts and data structures preferred.
• Experience handling structured and unstructured data to generate insights preferred.
• Understanding of SQL, query design, data validation/automation and analytic functions preferred.

Responsibilities

• Develop solutions leveraging inventory analytics capabilities to drive accuracy of inventory systems.
• Drive the design and deployment of BI inventory analysis and reporting packages.
• Ensure reporting capabilities enhance KPI attainment and decision-making.
• Provide leadership and training to a team of Inventory Analysts.
• Foster collaboration across operational, planning, BI and data analytics teams.
• Engage stakeholders to align priorities and develop implementation plans.
• Define standards and promote adoption of new tools and approaches.
• Mentor analytical resources and communicate success stories across the company.

Skills

Inventory analytics

Business intelligence

Data analytics

Statistical modeling

Leadership

Mentoring/training

Cross-functional collaboration

Communication

Education

Bachelor's degree in Mathematics/Engineering/Computer Science

TDWI certification

R/Python certifications

Tools

SQL

R

Python

Microsoft Office

Data warehousing concepts

Job description

Responsibilities

• Develop solutions that leverage and expand upon inventory analytics capabilities to the business that drive accuracy and integrity of inventory systems
• Drive the strategic and tactical design and deployment of BI inventory analysis and reporting packages
• Ensure analytical reporting capabilities enhance KPI attainment, business results, decision‑making process and capabilities
• Provide leadership and training to a team of Inventory Analysts to accomplish company goals and objectives
• Create a culture of collaboration and continuous improvement that drives cross‑functional engagement within the operational, planning, business intelligence and data analytics areas
• Engage with stakeholders across the organization to align priorities, build and execute development plans and communicate recommendations
• Define and enforce standards to sustain effectiveness; experiment with and promote adoption of new tools and approaches when appropriate
• Mentor and train analytical resources in best practices; simplify and communicate success stories to broader audiences across the company

Requirements

• 4 years of inventory control experience
• Proficiency in Microsoft Office
• Experience with computerized scanner equipment
• Availability to work a flexible schedule as needed, including planned and unplanned overtime, which may include weekends
• Bachelor degree in Mathematics, Engineering, Computer Science, or related field (preferred)
• Certified Business Intelligence Professional from Transforming Data with Intelligence (TDWI) and R/Python certifications (preferred)
• 3 + years’ experience delivering BI and data analytics solutions that involve statistical modeling (preferred)
• Understanding of data warehouse concepts such as: patterns for time variance and generic versus explicit data structures; standards‑based approaches for object names and data types; using logical data models to document and explain business objectives (preferred)
• Experience taking care of both structured and unstructured data to recognize patterns and generate insights (preferred)
• Understanding of best practices and principles in SQL, query design, data validation/automation and analytic functions (preferred)

Core Competencies

Demonstrates expertise in inventory analytics, business intelligence, and data analytics, with a strong focus on statistical modeling and data warehouse concepts. Proven ability to lead teams, mentor analysts, and drive cross‑functional collaboration to enhance decision-making and business outcomes.