AHMEDABAD · FULLTIME
Factory Digitalization Lead
Arabellesolutions
Ahmedabad · onsite · Posted 64d ago
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Section · 01
About this role
Function Data Analysts (FDA)
- Collaborate with Site Dizitalization Leader in deploying and improving digital tools of the site.
- Resolve smart facory's perational issues, and implement corrective actions.
- Promote adoption of digital tools and practices at all levels.
- Clearly communicate and gather inputs and then translate functional needs into structured specifications for IT/BI teams. Translate business needs into clear analytical and technical requirements.
- Validate KPI logic, interpret anomalies, and ensure reporting reflects real operations, to investigate trends, identify root causes, and prevent decision errors.
- Validate logic, metrics, SQL, and dashboard outputs. Lead conversations around User acceptance Tests and help the Manufactruring teams in clearing of queries.
- Coach key stakeholders and drive adoption, usage, and training for dashboards within the function.
- Identify new analytics opportunities and support project delivery.
- Act as a solid connector between IT, Global Data Teams and Manufacturing. Play a key role
- Standardize all data source & tables across departments. Work with functions to increase data & digital literacy
- Provide with clear visualization to management with MES data inference
- Take care about data security needs & compliances working with Cyber Security teams
- Provide support to function with clarity and simplify source & entry of data
- Help functions from duplicate data entry & establish clear linage
- Use technical aptitude including development of manufacturing centric tools and dashboards using Power BI, DAX fundamentals, data modelling, SQL basics, and reading data dictionaries
- Collaborate effectively with IT, data engineering, BI developers, and cross‑functional stakeholders in driving towards logical conclusions wherever there is conflict.
- Foster a culture of continuous improvement through feedback loops and innovation initiatives.
- BE/ B Tech in any eng discipline
- Engineering/Computer/IT Diploma/Degree from reputed organization
- Min 8–10-year experience in Smart/ Digitilized factory with exposure to Digitalization and data management
- Knowledge of basic data dashboard tools like Teblue, Power Bi, SQL Bi etc.
- Basic knowledge of SAP, ERP, other web base systems.
- Smart Manufacturing Certifications
- Data Analytics or Data Science Certification Course
- Demonstrated integrity – accept and adhere to high ethical, moral, and personal values while working, communications, and actions when dealing with others.
- Lean Mindset and understanding of lean tool. (5S, TPM, Kaizen)
- Effective communications skills at all levels from production associate to management
- Ability to provide clear explanations and train others in Data management.
At Arabelle Solutions, we know diversity makes teams and business stronger.
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Section · 02
Skills
Section · Company
About Arabellesolutions

Arabellesolutions
About
Arabelle Solutions offers a broad portfolio of turbine island technologies and services that are used in more than a third of nuclear power plants globally helping customers across the world deliver reliable power as they transition to a lower-carbon future. The Arabelle steam turbine is the most advanced of its kind and the company provides turbine island lifecycle support solutions for all nuclear reactor types – improving power output, reducing environmental footprint, and lowering operational cost. Arabelle Solutions has around 3,300 employees across 16 countries and is a subsidiary of EDF Group.
At Arabelle Solutions, we’re proud to design services and solutions that are generating power not just for today and tomorrow but for generations to come. You’ll work alongside passionate bright minds. We offer a broad range of opportunities for those eager to build tomorrow’s world. We believe a supportive culture is key to reach common goals. Diversity and an inclusive mindset makes us and our business stronger.
www.arabellesolutions.com