AI Data Analyst

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, ManufacturingIndustries

Requirements

The role requires effective collaboration with technical teams and business stakeholders across different operating companies. A strong ability to interpret business goals and analytics requirements, translating them into clear, actionable data quality criteria and plans is essential. Proven experience in data quality, data management, or analytics roles, ideally within supply chain, manufacturing, or a related domain, is necessary. Demonstrated experience in managing supply chain data domains such as Material Master, Vendor Master, and Customer Master records, along with a strong understanding of data quality concepts, profiling techniques, and root cause analysis, is required. Experience with data requirements and preparation methodologies for AI/ML applications or large-scale data initiatives, and navigating data management complexities in a decentralized structure are considered a plus.

Responsibilities

The AI Data Analyst will collaborate with data stewards, stakeholders, IT professionals, data engineers, and data scientists to assess data requirements, address quality concerns, and define AI use-case specifications. They will work with engineering teams to validate data during pipeline development and model training, ensuring quality standards and documenting data lineage and rules. The analyst will maintain documentation of analytics requirements, data standards, and best practices for data preparation for AI projects. Responsibilities also include conducting data profiling, cleansing, validation, and root cause analysis to ensure supply chain master data accuracy, completeness, consistency, and timeliness. Furthermore, they will translate data quality issues into business impact for non-technical stakeholders and recommend remediation strategies or workarounds.

Skills

Data Quality

Data Management

Analytics

Supply Chain Data

Material Master Data

Vendor Master Data

Customer Master Data

Data Profiling

Data Cleansing

Data Validation

Root Cause Analysis

AI/ML Data Preparation

Collaboration

Business Requirements Translation

Data Lineage

Data Standards

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters

1969Year Founded

IPOCompany Stage

Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.

Potential regulatory challenges in the EU for water quality sector.

Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.

The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.

Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.

Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.

Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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