Analytics Developer

Job Title: Analytics Developer

Req: R0098205

Vacancies: 2 position (Experience mentioned below)

Location: Pune

Full-time/Part-time: Full-time

Regular /Temporary: Regular

Company Overview: 

We’re on an exciting growth journey, building the new digital era of manufacturing. Our digital manufacturing solutions automate and connect the component manufacturing value chain – from design and planning to preparation, production and verification. Our objective is to make the shift towards efficient and sustainable manufacturing. As the market leader in CAM and metrology software with over 400,000 software licenses and global footprint, we have a unique foundation to build on. Please read more about us here.

We are seeking for people who are passionate in their work and possess the drive to excel to join us.

Intelligent Manufacturing​​ address the customers full value chain from design and planning to verification with a combination of overarching and point-solutions. ​We shape the future of manufacturing by connecting and automating the component manufacturing value chain. By providing open and agnostic end-to-end solutions and ​shaping new markets with partners in our collaboration network making the shift towards more efficient and sustainable manufacturing possible 

Sandvik Mining is a leading supplier of equipment and tools, service and support for the mining industry. We also provide solutions and knowledge in a wide range of applications such as quarrying, recycling, demolition, tunneling, civil engineering and dimensional stone. 

Position Overview:

What You'll Do

• Help shape the future of analytics within a global organisation. 

• Design analytical solutions that create measurable business value. 

• Work across multiple business domains including operational, commercial, financial, and supply chain processes. 

• Build reusable analytics assets that can support a variety of reporting and analytical use cases. 

• Collaborate with business and technical teams to deliver trusted enterprise data products. 

• Contribute to the development of analytics standards, modelling practices, and data governance processes. 

• Develop expertise across a broad analytics landscape rather than being limited to a single technology platform. 

MAIN RESPONSIBILITIES 

• Collaborate with business stakeholders to understand processes, challenges, and analytical requirements. 

• Translate business requirements into scalable analytical solutions. 

• Design and maintain logical, dimensional, and semantic data models. 

• Develop reusable business metrics, KPIs, hierarchies, and analytical calculations. 

• Create and maintain data products that can be consumed across multiple reporting and analytics platforms. 

• Build and maintain dashboards, reports, datasets, and semantic models where required. 

• Ensure analytical solutions accurately represent business processes and definitions. 

• Work closely with data engineering teams to ensure data structures align with analytical requirements. 

• Support enterprise data governance initiatives including business definitions, metadata management, and data quality improvements. 

• Drive adoption of analytics best practices across the organisation. 

• Contribute to documentation, training materials, and knowledge sharing within the analytics community. 

• Continuously seek opportunities to simplify, standardise, and improve analytics solutions. 

KNOWLEDGE & EXPERIENCE 

Essential 

• Strong understanding of Business Intelligence, Analytics, and Data Warehousing concepts. 

• Proven Overall all 5+ years’ experience and 3 + years in  designing analytical solutions and data models.

• Strong practical experience applying dimensional modelling techniques, including star schema design, fact and dimension modelling, semantic layer design and reusable business metrics and KPI design. 

• Experience translating business requirements into scalable analytical solutions. 

• Strong SQL skills and experience working with complex datasets. 

• Strong understanding of analytical data structures and reporting best practices. 

• Ability to understand and model complex business processes. 

• Strong stakeholder engagement and communication skills. 

• Excellent analytical and problem-solving capabilities. 

• Experience working within Agile delivery environments. 

Desirable 

• Experience with modern analytics and reporting platforms such as Power BI, SAP Datasphere or similar technologies. 

• Exposure to manufacturing, finance, supply chain, sales, procurement, or operational analytics. 

• Familiarity with data governance, metadata management, and master data concepts. 

ABOUT YOU 

We are not looking for someone defined by a particular technology stack. You may come from a background in Power BI, SAP, Fabric, Databricks, Business Objects, or another analytics platform. What matters most is your ability to understand business requirements, model data effectively, and deliver trusted analytical solutions that solve real business problems. 

You are naturally curious and enjoy understanding how businesses operate. You are comfortable working with stakeholders, challenging assumptions, and translating complex concepts into intuitive analytical models.

You enjoy learning new technologies and recognise that platforms will continue to evolve, but the principles of good analytics, good modelling, and good business understanding remain the foundation of successful solutions. 

PERSONAL ATTRIBUTES 

• Is passionate about data, analytics, and problem-solving. 

• Enjoys understanding business processes and translating them into data solutions. 

• Has strong attention to detail and a commitment to quality. 

• Can balance technical excellence with practical business outcomes. 

• Thrives in collaborative, cross-functional environments. 

• Is proactive, self-motivated, and continuously learning. 

• Takes ownership of delivering meaningful business value. 

EDUCATION, LICENCES & CERTIFICATES 

• Degree in Information Systems, Computer Science, Data Analytics, Business Information Systems, Engineering, or a related discipline. 

• Relevant analytics, business intelligence, or data platform certifications are advantageous but not essential. 

Who You Are

• Curious about emerging technologies and AI innovation
• Passionate about improving the way engineers work
• Analytical, detail-oriented, and solution-focused
• Comfortable working across software and manufacturing domains
• Collaborative, self-motivated, and eager to learn
• Excited by the opportunity to create real business impact through intelligent automation

You'll have the opportunity to:

• Drive AI transformation within a global engineering organization
• Work with cutting-edge manufacturing technologies
• Collaborate with experts across the Sandvik group
• Influence tools, processes, and future product development
• Grow your technical expertise in both AI and CNC manufacturing
• undefinedJoin us and help shape the future of intelligent manufacturing.

Apply today and be part of a team that's transforming CNC software development through innovation and AI. 

• Benefits Sandvik offers a competitive total compensation package including comprehensive benefits. In addition, we provide opportunities for professional competence development and training, as well as opportunities for career advancement.  
• A glimpse of our cultureAt Sandvik, we're tech driven, innovative and entrepreneurial! For us, success is a team effort - we value diversity and are committed to creating an inclusive culture where people can be themselves and reach their full potential. So, we invest in supporting each other, learning together and celebrating our differences. We also give you the freedom to find that perfect mix between work, family life and interests. Visit our stories hub, LinkedIn or Facebook to get to know us further. 
• How to apply:You may upload your updated profile in Workday against the R0098205 through your login, no later than 2nd November 2026 Or Please send your application by registering on our site www.sandvik.com/career and uploading your CV against the  R0098205 before 2nd November 2026Our recruitment process is open and fair – we welcome all applicants and evaluate every unique application in line with the specified requirements profile, to find the best match for the position. To learn more about our recruitment process, please visit our career site.