Business Intelligence Specialist

Ebro Electronic GmbH; Bengaluru; On-site; INR 1,400,000 - 2,000,000; Full time

Job summary

Xylem is seeking a skilled Supply Chain Analytics Specialist to translate business needs into analytics requirements across manufacturing sites. You will design dashboards, build data pipelines in Databricks, and support data quality across the medallion architecture, collaborating with global teams.

Responsibilities include applying S&OP knowledge, forecasting support, and driving automation using Power Automate or Airflow while maintaining strong stakeholder communication.

Qualifications

• 3+ years of experience in a supply chain analytics or business intelligence role within a manufacturing or industrial environment.
• Demonstrated understanding of supply chain processes: S&OP/SIOP, MRP/ROP, demand/capacity planning, inventory management, or production scheduling.
• 2+ years of hands-on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Synapse).
• Proficiency in Python and SQL for data manipulation, pipeline development, and analytical scripting.
• Experience building dashboards and reports in Power BI or an equivalent tool (Tableau, Looker, etc).
• Familiarity with medallion architecture patterns and data lakehouse concepts.
• Working knowledge of ETL/ELT pipeline development and data quality management.
• Experience with workflow automation tools (Power Automate, Databricks Workflows, Apache Airflow, or similar).
• Strong proficiency in Microsoft Excel for ad hoc analysis, data validation, and stakeholder communication.
• Experience working in agile/sprint-based delivery environments as well as traditional project management frameworks.
• Excellent communication skills with the ability to translate technical concepts for non-technical audiences and work effectively with global, cross-functional teams.

Responsibilities

• Act as a trusted, knowledgeable resource for supply chain stakeholders across manufacturing sites.
• Translate business concepts into analytics requirements and data models under the Analytics Manager.
• Validate data outputs against operational reality and maintain KPI definitions and domain context documentation.
• Design, build, and maintain dashboards and scorecards in Power BI per stakeholder requirements.
• Develop and support ETL/ELT pipelines in Databricks using Python/SQL, coordinating with Central IT.
• Configure schemas, tables, and views within Databricks and maintain the Gold semantic layer.
• Write performant SQL and Python for data transformation, validation, and pipeline orchestration.
• Support data quality checks, logging, and monitoring across pipeline layers.
• Assess process needs to determine AI-based vs deterministic automation approaches and implement workflow automations.
• Operate within a hybrid agile/traditional project management framework.

Skills

Data analysis

S&OP knowledge

Demand planning

Inventory management

Cross-functional collaboration

Education

Bachelor's degree in Supply Chain Management, Operations Management, Industrial Engineering, Data Analytics, or related field

Tools

Databricks

Python

SQL

Power BI

Excel

Tableau/Looker

Job description

RESPONSIBILITIES

• Supply Chain Knowledge & Business Acumen Act as a trusted, knowledgeable resource for supply chain stakeholders, supporting discovery sessions across manufacturing sites to understand processes, pain points, and data availability. Apply knowledge of SIOP/S&OP, MRP, demand planning, capacity planning, and inventory management to support the translation of business concepts into analytics requirements and data models under the direction of the Analytics Manager. Validate data outputs against operational reality; identify data quality issues rooted in business process gaps. Contribute to and help maintain business glossaries, KPI definitions, and domain context documentation for the ISC Analytics portfolio.
• Business Analysis & Applied Statistics Conduct exploratory data analysis to identify trends, anomalies, and opportunities across supply chain datasets. Apply basic statistical methods (descriptive statistics, correlation, regression, time-series decomposition) to support forecasting and root cause analysis. Design, build, and maintain interactive dashboards and scorecards in Power BI per stakeholder requirements.
• Analytics Development & Data Pipeline Support Develop and support ETL/ELT pipelines in Databricks using Python/SQL, in coordination with Central IT, to ingest, transform, and serve data from enterprise sources. Configure and maintain schemas, tables, and views within Databricks following medallion architecture (Bronze/Silver/Gold) standards, including curation of the Gold semantic layer that serves dashboards and AI systems. Write performant SQL and Python for data transformation, validation, and pipeline orchestration. Support data quality checks, logging, and monitoring across pipeline layers.
• Automation & AI Enablement Assess process and workflow needs to determine when an AI-based solution adds value versus when a deterministic automation (e.g., scripted pipeline, scheduled job, rule-based logic) is the more appropriate and reliable approach. Implement and maintain workflow automations using tools such as Power Automate, Databricks Workflows, or similar platforms to reduce manual effort in recurring data processes. Stay current on emerging AI and automation tooling and identify practical applications that align with team priorities.
• Project Delivery & Team Operations Operate within the team’s hybrid agile/traditional project management framework, including sprint-based delivery cycles, backlog management, and adherence to project timelines, dependencies, and milestone commitments.

QUALIFICATIONS

• Bachelor’s degree in Supply Chain Management, Operations Management, Industrial Engineering, Data Analytics, or a related field.
• 3+ years of experience in a supply chain analytics or business intelligence role within a manufacturing or industrial environment.
• Demonstrated understanding of supply chain processes: S&OP/SIOP, MRP/ROP, demand/capacity planning, inventory management, or production scheduling.
• 2+ years of hands‑on experience with Databricks or a comparable cloud data platform (Snowflake, BigQuery, Synapse).
• Proficiency in Python and SQL for data manipulation, pipeline development, and analytical scripting.
• Experience building dashboards and reports in Power BI or an equivalent tool (Tableau, Looker, etc).
• Familiarity with medallion architecture patterns and data lakehouse concepts.
• Working knowledge of ETL/ELT pipeline development and data quality management.
• Experience with workflow automation tools (Power Automate, Databricks Workflows, Apache Airflow, or similar).
• Strong proficiency in Microsoft Excel for ad hoc analysis, data validation, and stakeholder communication.
• Experience working in agile/sprint-based delivery environments as well as traditional project management frameworks.
• Excellent communication skills with the ability to translate technical concepts for non‑technical audiences and work effectively with global, cross‑functional teams.

PREFERRED QUALIFICATIONS

• General familiarity with AI/ML concepts, tooling, and practical applications in a business context (e.g., Databricks MLflow, cloud AI services, context management, prompt engineering, or RAG architectures).
• APICS/ASCM certification (CPIM, CSCP, or CTSC) or actively pursuing.
• Exposure to SAP ERP systems (SAP ECC or S/4HANA) as a data source.
• Experience with version control (Git) and collaborative development workflows.
• Familiarity with data solution architecture patterns and documentation practices.
• Knowledge of cloud infrastructure (Azure, AWS, or GCP) in a data or analytics context.

Xylem ist ein Fortune 500 Wassertechnologieunternehmen mit global 23.000 Mitarbeitenden in über 100 Ländern und einer Mission: unseren Kunden durch innovative Technologielösungen und unser Fachwissen bei der Lösung von Wasserproblemen und -herausforderungen zu helfen. Wir sind der weltweit führende Anbieter effizienter, innovativer und nachhaltiger Wassertechnologien, die dafür sorgen, dass unser Wasser nachhaltig genutzt, optimal verwaltet, erhalten und wiederverwendet wird.

Werden Sie Teil des globalen Xylem-Teams und gestalten Sie innovative Technologielösungen mit, die die Nutzung, Verfügbarkeit, den Schutz und die nachhaltige Verwendung von Wasser sicherstellen. Unsere Produkte kommen in der öffentlichen Versorgung, der Industrie, im Wohnbereich und in gewerblichen Gebäuden zum Einsatz – mit dem Ziel, intelligente Maschinen, Anlagen, Messsysteme, Netzwerktechnologien und fortschrittliche Analysen für Wasser-, Strom- und Gasversorger sowie die Industrie bereitzustellen. Arbeiten Sie mit uns an einer Welt, in der die aktuellen und kommenden Wasserherausforderungen mit Kreativität und Engagement gelöst werden und in der Inklusion und Zugehörigkeit als Treiber für Innovation erkannt werden, um unsere Wettbewerbsfähigkeit weltweit zu stärken.

Inklusion und Zugehörigkeit bei Xylem Xylem ist ein Unternehmen, was Chancengleichheit fördert. Alle Entscheidungen werden ohne Rücksicht auf Nationalität, Hautfarbe, Religion, ethnische Herkunft, Geschlecht, sexuelle Orientierung, Geschlechtsidentität oder -ausdruck, Alter, Behinderung oder anderer gesetzlich geschützter Merkmale getroffen. Mehr dazu finden Sie hier: (https://www.xylem.com/en-us/careers/inclusion-and-belonging/)