Manufacturing Experienced Professional - Production Planning & Scheduling

Baker Hughes; Pune District; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Contemporary work-life balance andwell

Comprehensive private medical care

Life insurance and disability programs

Tailored financial programs

Additional elected or voluntary benefit

Job summary

Baker Hughes in Pune is seeking a data analytics professional to transform repairables and inventory planning data into scalable automated solutions using SQL, Power BI and automation.

You will build end-to-end Power BI dashboards, integrate SAP data sources, and collaborate with regional S&OP, AMO and manufacturing teams to drive proactive materials decisions.

Strong English communication and ability to translate complex problems into actionable insights are essential.

Qualifications

• Strong hands-on SQL skills, with ability to extract, transform and analyze large datasets from multiple sources.
• Strong Power BI capabilities, end-to-end development including Power Query, data transformation, data modeling, DAX and visualization.
• Experience developing automated and scalable analytical solutions, replacing repetitive manual processes with sustainable data-driven workflows.
• Ability to translate an ambiguous business problem into a structured analytical approach and independently drive the solution with limited guidance.
• Strong analytical and problem-solving skills, with the ability to connect operational behavior with materials and inventory requirements.
• Ability to work effectively across a global, cross-functional organization, interacting with regional teams, Manufacturing, AMO, S&OP and other functions.
• Fluent English and strong communication skills, including the ability to explain analytical findings to non-technical stakeholders.

Responsibilities

• Develop scalable analytical models and automated solutions supporting global S&OP and materials planning processes, focusing on repairables and inventory.
• Connect and analyze data from SAP and other enterprise sources, including material consumption, scrap, repair activity, and inventory.
• Develop models to determine material and sub-assembly requirements based on asset population and historical demand.
• Build end-to-end Power BI solutions: data extraction, transformation, data modeling, business logic, DAX and dashboards.
• Use SQL to create scalable datasets and analytical models, reducing Excel-based analysis.
• Develop automated planning alerts and exception-management to identify shortages, excess inventory, and gaps.
• Develop and enhance predictive analytics supporting materials requirements and repairable inventory decisions.
• Maintain analytics methodologies like sub-assembly-to-asset ratios, adapting to fleet changes.
• Improve visibility and control of capitalized inventory and utilization.
• Partner with Regional S&OP/Planning, AMO and Manufacturing to translate needs into analytical tools.
• Work independently from defined problems to investigate data, identify root causes and implement solutions.
• Identify opportunities to standardize and automate processes across regions.
• Provide actionable insights and recommendations to S&OP and stakeholders based on models.

Skills

SQL

Power BI

Data Modeling

DAX

Automation

SAP

Tools

SAP

Power Automate

Job description

Would you like to be a part of successful team?

Role Purpose

The Role will support the Global Drilling Services S&OP organization by transforming complex materials and operational data into scalable, automated, and actionable planning solutions. The role will have a particular focus on repairable materials, sub-assemblies and capitalized inventory, connecting data across operations, AMO, Manufacturing and regional organizations. Rather than relying on manual analysis and individual material reviews, the role will develop automated data models, dashboards and analytics capable of identifying planning gaps, determining inventory requirements and supporting proactive materials decisions at global scale. SQL, Power BI and automation will be key enablers of the role.

Key Responsibilities

• Develop scalable analytical models and automated solutions supporting global S&OP and materials planning processes, with particular focus on repairables, sub-assemblies and capitalized inventory.
• Connect and analyze data from SAP and other enterprise data sources, including material consumption, scrap, repair activity, circulation hours, installed/available asset population and inventory.
• Develop models to determine appropriate material and sub-assembly requirements based on asset population, historical consumption, utilization, repair behavior and operational demand.
• Build and maintain end-to-end Power BI solutions, including data extraction, transformation, data modeling, business logic, DAX and dashboard development.
• Use SQL to create scalable datasets and analytical models, reducing dependency on manual Excel-based analysis and repetitive data preparation.
• Develop automated planning alerts and exception-management mechanisms to identify material shortages, excess inventory, abnormal consumption, planning gaps and other conditions requiring action.
• Develop and progressively enhance predictive analytics supporting materials requirements and repairable inventory decisions.
• Maintain and improve analytical methodologies such as sub-assembly-to-asset ratios, ensuring planning parameters evolve with changes in fleet size, utilization and operational behavior.
• Improve visibility and control of capitalized inventory, supporting appropriate inventory positioning and utilization.
• Partner directly with Regional S&OP/Planning teams, AMO and Manufacturing to understand operational problems, validate assumptions and translate business requirements into analytical solutions.
• Work independently from an initially defined business problem to investigate data, identify root causes, develop potential solutions and implement sustainable tools with appropriate stakeholder guidance.
• Identify opportunities to standardize and automate existing manual processes across regions rather than developing isolated local solutions.
• Provide actionable insights and recommendations to S&OP and operational stakeholders based on the analytical models developed.

Required Qualifications

• Strong hands-on SQL skills, including the ability to extract, combine, transform and analyze large datasets from multiple sources.
• Strong Power BI capabilities, with demonstrated experience developing solutions end-to-end, including Power Query/data transformation, data modeling, DAX and visualization.
• Experience developing automated and scalable analytical solutions, replacing repetitive manual processes with sustainable data-driven workflows.
• Ability to translate an ambiguous business problem into a structured analytical approach and independently drive the solution with limited guidance.
• Strong analytical and problem-solving skills, with the ability to connect operational behavior with materials and inventory requirements.
• Ability to work effectively across a global, cross-functional organization, interacting with regional teams, Manufacturing, AMO, S&OP and other functions.
• Fluent English and strong communication skills, including the ability to explain analytical findings to non-technical stakeholders.

Preferred Qualifications

• Experience with SAP data and materials-related processes. Deep SAP expertise is not required, but familiarity with SAP environments would be advantageous.
• Experience within Drilling Services, Oilfield Services or another asset-intensive industrial environment.
• Understanding of drilling tools, AMO/repair operations, manufacturing processes, repairables and sub-assemblies.
• Understanding of S&OP, materials planning, inventory management, MRP and/or supply-demand planning concepts.
• Experience with automation technologies such as Power Automate, SAP automation or similar workflow/automation platforms.
• Exposure to predictive analytics, statistical modeling or advanced demand/material requirement modeling.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect.

• Contemporary work-life balance policies and wellbeing activities
• Comprehensive private medical care options
• Safety net of life insurance and disability programs
• Tailored financial programs
• Additional elected or voluntary benefits

The Baker Hughes internal title for this role is: Manufacturing Experienced Professional - Production Planning & Scheduling

About Us

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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