Position Details

Type Full-Time

Experience senior

Exp. Years 5+ years

Education Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field

Category Data & Analytics

About this role

Lead enterprise-scale business intelligence and data engineering solutions for the Global Purchasing & Supply Chain - Strategy & Innovation team. Build BI dashboards and reports, design data models for analytics, and integrate AI/ML to enable automation and efficiency across supply chain domains.

Key Responsibilities

Architect and lead enterprise-scale BI and data engineering solutions
Build and optimize AI/ML solutions for workflow automation
Develop logical and physical data models (star, snowflake, medallion architecture)
Oversee BI dashboards and reporting using Power BI, Cognos, Tableau, Qlik, Looker
Establish data governance, security, master data management, and compliance best practices

Technical Overview

Combines SQL, Python, and Spark with data modeling (star, snowflake, medallion architecture) and lakehouse platforms (Databricks, Snowflake). Leverages cloud data platforms (Azure, Amazon Web Services, GCP) and hybrid architectures to support BI tooling such as Power BI, Cognos, Tableau, Qlik, and Looker, alongside AI/ML integration.

Ideal Candidate

The ideal candidate is a senior Business Intelligence Data Analyst with 5+ years in enterprise analytics, data engineering infrastructure, and BI reporting. They are advanced in SQL, Python, and Spark, and can build and optimize dashboards in Power BI, Cognos, Tableau, Qlik, and Looker. They have hands-on experience with cloud data platforms (Azure, Amazon Web Services, GCP) and lakehouse technologies (Databricks, Snowflake), including AI/ML integration for workflow automation.

Must-Have Skills

5+ years of experience in data engineeringanalytics infrastructureand BI reporting in enterprise environmentsAdvanced proficiency in SQLPythonSparkand data modeling toolsStrong background in BI development (Power BICognosTableauQlikLooker) and front-end reportingProven experience with AI/ML integration and deployment in enterprise analytics environmentsDemonstrated success leading modernization/migration projects and implementing scalablecompliant data solutionsExcellent communication skills for translating technical concepts to business stakeholders and mentoring team membersHands-on experience with cloud data platforms (AzureAWSGCP)Lakehouse technologies (DatabricksSnowflake)and hybrid architectures

Nice-to-Have Skills

Master's Degree in Computer ScienceEngineeringInformation Systemsor related fieldExperience in manufacturingsupply chainlogisticsor automotive domainsFamiliarity with data governance tools and advanced analyticsExperience designing and implementing medallion architecture

Tools & Platforms

Power BICognosTableauQlikLookerSQLPythonSparkAzureAmazon Web ServicesAWSGCPDatabricksSnowflake

Required Skills

SQLPythonSparkdata modeling toolsPower BICognosTableauQlikLookerAI/ML integration and deploymentdata governancesecuritymaster data managementdata complianceAzureAWSGCPDatabricksSnowflakemedallion architecturestar schemasnowflake schemaworkflow automation

Hard Skills

enterprise-scale data engineeringbusiness intelligence solutionsAI/ML solutionsworkflow automationAI/ML-ready data infrastructureadvanced analytics methodologieslogical data modelsphysical data modelsstar schemasnowflake schemamedallion architectureBI dashboardsBI reportingPower BICognosTableauQlikLookerdata governancesecuritymaster data managementdata compliancedata architecture alignmentmodernization/migration projectsSQLPythonSparkcloud data platformsAzureAmazon Web ServicesGCPLakehouse technologiesDatabricksSnowflakehybrid architecturesmentoring data engineersdesign reviews

Soft Skills

communication skillstranslating technical concepts to business stakeholdersmentoring team memberscross-functional collaborationleadership

Industry & Role

Industry Manufacturing

Job Function Design and deliver enterprise BI, data engineering, and AI/ML-enabled analytics for supply chain

Role Subtype Business Intelligence Analyst

Tech Domains Python, SQL / PostgreSQL, Azure, Amazon Web Services, Google Cloud Platform, Data & Analytics

Clearance & Visa

Visa Sponsorship No

Keywords for Your Resume

Business Intelligence Data AnalystBusiness Intelligence Data Analyst - GPSCGPSCenterprise-scale data engineeringbusiness intelligenceBI dashboardsBI reportingPower BICognosTableauQlikLookerSQLPythonSparkdata modelinglogical and physical data modelsstarsnowflakemedallion architecturedata governancemaster data managementdata securitydata complianceAI/ML integrationAI/MLworkflow automationcloud data platformsAzureAmazon Web ServicesAWSGCPDatabricksSnowflakehybrid architectures

Deal Breakers

Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field, 5+ years of experience in data engineering, analytics infrastructure, and BI reporting in enterprise environments, Advanced proficiency in SQL, Python, Spark, and data modeling tools, Strong background in BI development (Power BI, Cognos, Tableau, Qlik, Looker), Hands-on experience with Azure, AWS, GCP, Databricks, and Snowflake

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