Job description

Data Analytics Manager Job Role The Data Analytics Manager leads Kirkhill's data analytics, business intelligence, systems integration, and automation functions, supporting the organization with particular emphasis on Production, Supply Chain, and Quality. This is a hands-on working manager who personally develops and supports technical solutions while managing personnel, setting departmental priorities, and ensuring timely delivery of business value. The role combines manufacturing and ERP expertise with SQL Server, Power BI, Python, Excel, Microsoft Power Platform, and emerging AI technologies to solve operational problems and improve decision-making. Responsibilities Department Leadership & Prioritization • Lead, coach, and develop departmental personnel; establish accountability, technical standards, and effective working practices. • Evaluate business requests, set priorities, allocate resources, coordinate work, and balance daily support with strategic initiatives. • Partner with functional leaders to define objectives, manage stakeholder expectations, and deliver projects on schedule. Hands-On Engineering & Solution Delivery • Actively perform day-to-day engineering work, including solution design, coding, analytics, troubleshooting, deployment, and support alongside the team. • Own and oversee solutions throughout requirements, development, testing, documentation, training, and ongoing maintenance. • Design and maintain SQL Server queries, data models, stored procedures, ETL processes, dashboards, and reporting applications. Manufacturing, ERP & Decision Support • Develop analytics for production, capacity, WIP, material availability, quality, backlog, and on-time delivery. • Build solutions around Infor CSI/Syteline ERP, APS/MRP, scheduling, jobs, BOMs, routings, inventory, purchasing, and material transactions. • Improve production planning, material visibility, projected completion dates, and operational decision-making. Integration, Automation & AI • Develop and integrate business processes using SQL, Python, REST APIs, Power Automate, Power Apps, Excel/VBA, and related tools. • Identify and implement practical AI and advanced analytics applications, including document intelligence, intelligent workflow automation, predictive analytics, and large language models. • Evaluate solutions for measurable business value, accuracy, security, data quality, reliability, and maintainability. Continuous Improvement & Strategy • Use operational data to identify bottlenecks, risks, and process improvement opportunities; measure results. • Guide the longer-term analytics and factory information systems strategy, including ERP, quality, BI, automation, and AI integration. Requirements • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline. • 6+ years of relevant experience in manufacturing systems, business intelligence, analytics, or business systems analysis. • Demonstrated technical leadership, project coordination, prioritization, and effective communication with technical and nontechnical stakeholders. • Advanced SQL Server/T-SQL skills; strong Power BI, data modeling, DAX, Power Query, Excel, and operational reporting experience. • Experience with Python, APIs, Microsoft Power Platform, or comparable integration and automation technologies. • Knowledge of ERP/MRP systems and manufacturing operations, including BOMs, routings, WIP, capacity, inventory, materials, and scheduling. • Ability and willingness to contribute directly to daily technical production while managing and leading the department. Preferred Qualifications • Experience supervising or mentoring technical personnel and managing cross-functional initiatives. • Infor CSI/Syteline expertise, including SQL data structures and APS/MRP; factory scheduling and capacity-planning solutions. • Experience integrating ERP, MES, quality, or planning systems and implementing AI-enabled manufacturing or business automation. Kirkhill, Inc. is proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. All successful candidates must submit to post offer pre-employment physical examination, drug/alcohol screen and background check as a condition of employment.

Requirements

Must-haves

Data Analytics Manager
The role combines manufacturing and ERP expertise with SQL Server, Power BI, Python, Excel, Microsoft Power Platform, and emerging AI technologies to solve operational problems and improve decision-making.
Department Leadership & Prioritization
Lead, coach, and develop departmental personnel; establish accountability, technical standards, and effective working practices.
Evaluate business requests, set priorities, allocate resources, coordinate work, and balance daily support with strategic initiatives.
Partner with functional leaders to define objectives, manage stakeholder expectations, and deliver projects on schedule.
Hands-On Engineering & Solution Delivery
Actively perform day-to-day engineering work, including solution design, coding, analytics, troubleshooting, deployment, and support alongside the team.
Own and oversee solutions throughout requirements, development, testing, documentation, training, and ongoing maintenance.
Design and maintain SQL Server queries, data models, stored procedures, ETL processes, dashboards, and reporting applications.
Manufacturing, ERP & Decision Support
Develop analytics for production, capacity, WIP, material availability, quality, backlog, and on-time delivery.
Build solutions around Infor CSI/Syteline ERP, APS/MRP, scheduling, jobs, BOMs, routings, inventory, purchasing, and material transactions.
Improve production planning, material visibility, projected completion dates, and operational decision-making.
Integration, Automation & AI
Develop and integrate business processes using SQL, Python, REST APIs, Power Automate, Power Apps, Excel/VBA, and related tools.
Identify and implement practical AI and advanced analytics applications, including document intelligence, intelligent workflow automation, predictive analytics, and large language models.
Evaluate solutions for measurable business value, accuracy, security, data quality, reliability, and maintainability.
Continuous Improvement & Strategy
Use operational data to identify bottlenecks, risks, and process improvement opportunities; measure results.
Guide the longer-term analytics and factory information systems strategy, including ERP, quality, BI, automation, and AI integration.

Nice-to-haves

Experience supervising or mentoring technical personnel and managing cross-functional initiatives.
Infor CSI/Syteline expertise, including SQL data structures and APS/MRP; factory scheduling and capacity-planning solutions.
Experience integrating ERP, MES, quality, or planning systems and implementing AI-enabled manufacturing or business automation.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonairest

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