Data Analyst

Endress+Hauser Flowtec AG; Aurangabad; On-site; INR 1,100,000 - 1,700,000; Full time

Benefits offered by this job

Health benefits

Job summary

Endress+Hauser Flowtec AG is seeking a Data Analyst for Operations to transform manufacturing data into actionable insights. You will build scalable analytics, dashboards in Power BI, and support global initiatives across regions.

The role requires strong analytics, manufacturing KPI knowledge, and experience with data integration from ERP systems. Collaboration with international teams and continuous improvement of reporting processes are essential.

Qualifications

• Strong analytics and data storytelling with manufacturing focus.
• Experience in dashboards, KPI standardization and governance.
• Proficient in Power BI, SQL and data integration.
• Exposure to SAP or ERP data sources is preferred.

Responsibilities

• Analyze oper­ational datasets including PPC, inventory and KPIs.
• Design and maintain dashboards and reports in Power BI.
• Integrate data from ERP systems and data warehouses.
• Support management reporting and cross-functional insights.
• Drive KPI definitions, standardization and governance.

Skills

Power BI

SQL

Data Cleaning

Snowflake / Cloud data platforms

Advanced Excel (Power Query / Power Pо

Education

Engineering or Data Analytics / Computer Science

Tools

SAP

Power Automate

ETL tools

Job description

Job Description - Data Analyst (Operations & Manufacturing Analytics)

Position Title: Data Analyst – Operations

Reporting To: Head – Operations / Digitalization / Managing Director's Office

Role Purpose

The role is responsible for analyzing and transforming operational and manufacturing data into actionable insights. The Data Analyst will develop scalable analytics solutions and dashboards to support data-driven decision-making, improve operational efficiency, and enable continuous improvement across manufacturing and supply chain functions. This position is based in India but operates as a global role, supporting cross-regional teams and stakeholders and contributing to global analytics initiatives, standardization efforts, and best practices across locations.

Key Responsibilities

• Analyze and interpret key operational datasets including PPC, inventory, consumption, and manufacturing KPIs
• Design, develop, and maintain interactive dashboards and reports using Power BI
• Integrate data from multiple sources including ERP systems and data warehouses
• Support management reporting, performance reviews, and business insights generation
• Establish and standardize KPI definitions across functions
• Drive automation initiatives and continuous improvement in reporting processes
• Collaborate with global stakeholders across regions (Europe, Asia, Americas) to align reporting standards and analytics frameworks
• Support global KPI standardization and cross-site performance benchmarking
• Work across time zones to deliver insights for global operations and leadership teams

Required Skills – Technical

• Power BI
• SQL and database querying
• Data Cleaning
• Snowflake or similar cloud data platforms
• Advanced Excel (Power Query, Power Pivot)
• ERP systems (preferably SAP)

Required Skills – Analytical & Functional

• Strong analytical and problem-solving capabilities
• Understanding of manufacturing KPIs (OTD, inventory turns)
• Data visualization and storytelling
• KPI standardization and governance

Automation & Digital Skills

• Exposure to Power Automate or ETL tools
• Understanding of data pipelines and integration
• Awareness of digital transformation initiatives

Behavioral & Global Skills

• Strong stakeholder communication and ability to work with international teams
• Experience working in cross-cultural or global environments
• Ability to manage stakeholders across different time zones
• Detail-oriented and accuracy-focused
• Collaborative and proactive mindset
• Problem Solving Mindset

Experience

3-8 years in data analytics / BI, preferably manufacturing

Education

Engineering or Data Analytics / Computer Science

Success KPIs

• Data accuracy and reliability
• Dashboard adoption
• Reporting efficiency
• Operational improvements and business impact