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Head of Data Analytics
Siemens
Lead data analytics team to design data architecture, DataOps, and deliver advanced analytics.
7d ago
Expert & Leadership (13+ years)
Full Time
Pune, Maharashtra, India
Office Full-Time
Company Size
303,000 Employees
Service Specialisms
Industry Automation
Power Transmission
Imaging & Therapy Systems
Diagnostics
Rail Systems
Mobility & Logistics
Low & Medium Voltage
Smart Grid
Sector Specialisms
Industrial Automation
Building Automation
Rail Transport
Health Technology
Factory Automation
Process Industries
Pharmaceuticals
Chemicals
Role
What you would be doing
dataops
advanced analytics
data stack
data architecture
technical ownership
stakeholder management
- Leading the design and implementation of production-ready DataOps methods and pipelines.
- Leading and developing an international team of 10 data experts to drive advanced analytics solutions.
- Continuously innovating and improving the modern data stack by staying abreast of new data products, technologies, and innovations.
- Acting as a consultant, enabler, and mentor for internal customers and other data teams across Siemens Mobility to leverage digitalization and data-driven decision making
- Taking technical ownership of key data analytics projects and managing them with stakeholders from the business.
- Shaping the overall data architecture, including standards for data models, metadata, and security.
- Create visibility for the team's activities and products, communicate successes and business value generated by applying modern data architecture and modeling frameworks
What you bring
sql
python
ci/cd
cloud
agile
data modeling
- Proven track record of leading and managing high-performing data teams.
- Certifications in data architecture, data engineering, or data science disciplines, as well as knowledge of data governance frameworks and data quality management best practices, are a plus.
- Profound understanding and experience with modern CI/CD pipelines.
- Working experience with major cloud technologies (AWS, GCP, Azure) and associated data warehousing and analytics tools (Snowflake, dbt Cloud).
- Familiarity with agile software development methodologies in the data and AI domain.
- Expert programming skills in SQL and preferably Python.
- Extensive experience with data modeling frameworks like Data Vault, Dimensional Modeling, Kimball & Inmon.
- University degree in IT, Engineering, or a related field.
- Very good command of English; German is a plus.
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Interview process
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Company
Overview
Founded in 1847
Historical Milestone
Established as a small telegraph company and transformed into a global leader in technology.
- The company drives progress with solutions in electrification, automation, and digitalization across industries.
- With cutting-edge products and services, it leads sustainable innovation for industries like energy, manufacturing, and infrastructure.
- Its impressive portfolio includes smart grids, automated factories, advanced healthcare technologies, and solutions for urban mobility.
- Siemens’ digital solutions enhance efficiency and sustainability in everything from smart buildings to electric vehicles.
- It has contributed to iconic projects, including energy-efficient train systems and automation in key industrial sectors.
- Transforming how industries use digital technology to optimize operations and tackle global challenges.
- Leading change is a team effort
- Our people are enthusiasts with diverse backgrounds, skills and interests
- Every individual is valued
- Ownership – empowering employees to take responsibility
- Collaboration – leveraging unique strengths to find creative solutions
- Respect & Inclusion – diverse, respectful, flat hierarchies, flexibility, celebrating individual contributions
90% reduction
Scope 1 & 2 emissions by 2030
Achieve a 90% reduction in own-operations greenhouse gas emissions compared to 2019 levels by 2030.
144 million tonnes
CO₂-equivalent avoided in FY 2024
Products sold in FY 2024 helped customers avoid approximately 144 million tonnes of CO₂-equivalent emissions.
100% renewable
Electricity by 2030
Transition to 100% renewable electricity across operations by 2030, aligned with the RE100 initiative.
90% reduction
Scope 3 emissions by 2050
Achieve a 90% reduction in value-chain (Scope 3) emissions by 2050, validated by the Science-Based Targets initiative.
- Achieve net‑zero greenhouse‑gas emissions across the value chain by 2050
- Own‑operations net‑zero by 2030
- Value‑chain (Scope 3) target: 30% reduction by 2030
- €650 million invested in decarbonization efforts by 2030
- 100% EV fleet (EV100) by 2030
- 100% net‑zero buildings (EP100) by 2030
- Scope 1 & 2 emissions reduced by 50% since 2019, Scope 3 by 15% since 2019
- Products sold in FY 2024 helped customers avoid ~144 million tonnes CO₂‑equivalent
- Eco‑design standard achievement: 54%; 25,000 Siemens products labeled “EcoTech” for sustainable design
- Landfill waste down ~12%; recycling share of total waste 84%
Women at 32%
Top Management Increase
Women in top management roles increased significantly from a baseline of 23% in FY 2020 to 32% in FY 2024.
- DEGREE strategic framework includes 'Equity' as a measurable field of action
- Global Equity program focuses on equal rights in hiring and internal promotion processes
- SBTi‑validated targets exclude DEI but inclusion embedded in governance and career development
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