Sr. Analyst - Value Engineering & Should cost at Illumina

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Genomics, Biotechnology, HealthcareIndustries

Requirements

Bachelor’s degree in Engineering (Mechanical or related field) or equivalent technical discipline
Lean Six Sigma certification preferred
Coursework or certification in cost modeling, procurement analytics, or value engineering is a plus
5+ years of experience in cost engineering, sourcing analytics, or procurement operations in a manufacturing environment
Solid understanding of manufacturing processes: Plastics (injection molding, extrusion), Metals (machining, stamping, casting), Electronics (PCBA, harnesses), Assemblies (manual/automated)
Familiarity with interpreting technical drawings, BOMs, and routings
Awareness of global supply chain structures and cost drivers
Proficiency in Excel (pivot tables, formulas), aPriori, SAP, and PLM/CAD tools (SolidWorks/Creo)
Strong analytical and data management skills
Effective communicator with ability to present cost insights to diverse audiences
Experience in supplier benchmarking and parametric modeling
Ability to manage multiple priorities independently
Willingness to work in shifts (2-11 pm) to support stakeholders in US

Responsibilities

Lead and support should-cost modeling across key commodity categories: plastics, metals, electronics, and assemblies
Develop parametric cost models using tools like aPriori, integrating inputs from BOMs, 3D models, and supplier data
Collaborate with cross-functional teams (Engineering, Procurement, Finance) to validate cost inputs and influence sourcing decisions
Provide cost transparency and benchmarking insights to support negotiations and design-to-cost initiatives
Maintain cost databases and documentation to ensure consistency across global programs
Analyze supplier cost structures and prepare detailed cost breakdowns
Conduct price variance and cost trend analysis to identify cost-saving opportunities
Support NPI projects by aligning cost targets with design and sourcing strategies
Assist in supplier workshops and clean-sheet cost discussions
Monitor commodity indices and update standard rates in cost models
Prepare reports and presentations for sourcing and leadership teams

Skills

aPriori

Should-Cost Modeling

BOM Analysis

3D Models

Injection Molding

Extrusion

Machining

Stamping

Casting

PCBA

Harnesses

Assemblies

Cost Databases

NPI

Clean-Sheet Costing

Illumina

Supports genomics startups through funding and resources

About Illumina

Illumina focuses on fostering innovation in the genomics industry by supporting startups through its Illumina Accelerator program. This program helps entrepreneurs create, launch, and grow genomics-focused companies by providing funding and resources. The accelerator operates in two main locations: the San Francisco Bay Area and Cambridge, UK. Illumina Accelerator has successfully invested in 68 genomics startups, which have collectively raised over $1 billion in venture capital. What sets Illumina apart from its competitors is its strong partnership with leading venture capital investors and its dedicated focus on the genomics sector. The goal of Illumina is to build a thriving ecosystem for genomics innovation, enabling new companies to emerge and advance the field.

San Diego, CaliforniaHeadquarters

1998Year Founded

$27.2MTotal Funding

IPOCompany Stage

Venture Capital, BiotechnologyIndustries

5,001-10,000Employees

Risks

Over-reliance on NVIDIA's AI technology may limit flexibility in AI solution adoption.

Standardizing proteomics data across platforms could challenge Illumina's data reliability.

Single-flow-cell NovaSeq X System might cannibalize sales of higher-end models.

Differentiation

Illumina leads in genomic sequencing with advanced AI integration and multiomic data analysis.

The company offers innovative array-based solutions for DNA, RNA, and protein analysis.

Illumina's global expansion includes a new Global Capability Center in Bengaluru.

Upsides

Collaboration with NVIDIA enhances drug discovery and clinical development through AI integration.

Pilot proteomics program with UK Biobank aims to generate crucial reference datasets.

Single-cell sequencing kits make high-throughput sequencing accessible to smaller labs.

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