Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Project Manufacturing Leader

VP, IAM Assurance Leader

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

Responsibilities: <ul><li>Maintain &amp; report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement &amp; action.</li><li>Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds, tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast</li><li>Track attainment to forecast every month, including Pareto analysis of any misses &amp; gap closure plan</li><li>Challenge existing targets &amp; identify opportunities for further improvements by partnering with the Global Logistics &amp; Global Trade Services organizations</li><li>Drive adherence &amp; standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level</li><li>Identify and lead a project(s) that directly contributes to freight and/or duty cost reduction</li><li>Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes</li><li>Collaborate with the Master Data team to review and maintain system parameters in accordance with the latter.</li><li>Lead Slow-Moving / Obsolete inventory cadence &amp; drive actions to completion, including End-of-Life procedure</li><li>Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)</li><li>Create innovation and digitize reports for better data presentation and action determination.</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Masters degree is preferred.</li><li>Proven experience 5+ years in master data management, data governance, or a related field, preferably in a supply chain planning environment.</li><li>Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.</li><li>Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatica MDM, etc.).</li><li>Solid understanding of data governance principles, data quality management, and data lifecycle management.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain dashboards and reports using Power BI and or Tableau</li><li>Connect to data sources including data warehouses (for example Redshift), ERP systems, and structured datasets</li><li>Prepare and transform data using Power Query, Tableau Prep, or similar tools</li><li>Build and maintain data models and calculations within BI tools to support scalable reporting</li><li>Translate business requirements into clear and effective visualizations and reports</li><li>Analyze data to identify trends, performance gaps, and opportunities for improvement</li><li>Ensure data accuracy by validating outputs against source systems and established definitions</li><li>Support user acceptance testing and incorporate feedback into reporting solutions</li><li>Maintain and enhance existing dashboards to improve usability and performance</li><li>Document key metrics, business logic, and report structures</li><li>Collaborate with cross-functional teams including business stakeholders and technical partners</li></ul> Requirements: <ul><li>Bachelor’s degree in Industrial engineering, Information Technology, Data Analytics, or related field</li><li>3 to 5 years of experience in Business Intelligence, Data Analytics, or Reporting roles</li><li>Experience developing dashboards using Power BI or Tableau</li><li>Experience working with enterprise data sources such as ERP systems or data warehouses</li><li>Experience supporting business or operational analytics, with supply chain exposure considered an advantage</li></ul>

Responsibilities: Customers Management: <ul><li>Handle incoming calls and emails from assigned accounts (customers) for various sales inquiries, including information on orders, lead times, incoterms, and stock availability.</li><li>Proactively communicate with customers to ensure understanding and resolution of all order-related issues.</li></ul> Analyse Demand Forecast/ Revenue &amp; Inventory Control: <ul><li>Analyze demand forecasts for assigned accounts (customers) and review/control inventory in accordance with business unit targets.</li><li>Conduct demand planning and upload forecasts to the system, managing replenishment orders and billing for consignment customer consumption.</li><li>Generate forecast and LE reports promptly and accurately for Monthly Sales Revenue.</li><li>Review customers actual demand and forecasts to meet their requirements and conduct comprehensive analysis to avoid excess inventory or non-moving stock.</li></ul> Customer Documentation &amp; File Management: <ul><li>File all relevant sales transactions, including purchase orders, order proof lists, order acknowledgments, shipping documents, shipment reports, customer&nbsp;</li></ul> Shipment Management: <ul><li>Prepare and process shipments according to customer requests.</li><li>Collaborate with Planning/Logistics to ensure on-time delivery based on customers request dates and confirm dates for STR performance.</li><li>Oversee drop-shipment orders and ensure continuous follow-up on shipment status, particularly for critical issues.</li><li>Submit credit releases to finance for held accounts.</li><li>Coordinate with Account Managers and customers to release shipments that are on hold.</li></ul> Payment Management: <ul><li>Follow up on open disputes/invoice discrepancies with Customer, Finance &amp; Sales to ensure the best possible A/R results. If necessary, issue credit/debit notes to resolve discrepancies.</li></ul> Requirements: <ul><li>Bachelor degree in related field.</li><li>5-10 years minimum in customer service/procurement or production planning, proficient in both written and spoken English, PC literate with Microsoft Window software.</li><li>Self-initiative, perseverance, people oriented and able to travel locally and aboard for short assignment</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

Responsibilities: Product Costing <ul><li>Calculate and maintain standard costs for products.</li><li>Determine labor rates and overhead absorption rates.</li><li>Maintain costing sheets and databases, including new product costing and pricing support.</li><li>Perform quarterly standard cost updates (cost roll).</li></ul> Cost Analysis <ul><li>Analyze and explain variances including:</li><li>Purchase price.</li><li>Material usage.</li><li>Labor and machine rates.</li><li>Efficiency and overhead.</li><li>Compare actual costs to standard costs and investigate deviations.</li><li>Identify root causes of cost fluctuations.</li><li>Analyze cost trends and evaluate cost behavior (fixed vs. variable).</li></ul> Month-End Activities <ul><li>Support month-end close with cost accounting entries.</li><li>Prepare journal entries with appropriate documentation.</li><li>Ensure accurate Cost of Goods Sold (COGS) reporting in P&amp;L.</li><li>Reconcile general ledger accounts with subledgers.</li></ul> Budgeting &amp; Forecasting Support <ul><li>Support preparation of cost budgets for operations/production.</li><li>Provide historical cost data for planning and analysis.</li><li>Calculate standard costs for budget models.</li><li>Monitor actual performance vs. budget.</li><li>Support forecasting through cost projections.</li></ul> Cost Optimization &amp; Business Partnering <ul><li>Identify cost reduction opportunities through data analysis.</li><li>Track and validate savings from cost improvement initiatives.</li><li>Partner with procurement on material cost updates.</li><li>Work closely with production on labor and overhead rates.</li><li>Provide cost insights to support operational decision-making.</li></ul> Requirements: <ul><li>Education &amp; Experience.</li><li>Bachelor’s degree in Finance, Accounting, Economics, or related field.</li><li>Professional accounting qualification is a plus.</li><li>Minimum 3+ years of experience in cost accounting (manufacturing environment preferred).</li><li>Experience in product costing and standard costing methodologies.</li><li>Exposure to SAP or similar ERP systems.</li></ul> Technical Skills <ul><li>Strong understanding of cost accounting principles and practices.</li><li>Advanced proficiency in Microsoft Excel.</li><li>Knowledge of Power BI and/or VBA is an advantage.</li><li>Familiarity with integrated systems and costing modules.</li></ul> Functional &amp; Industry Experience <ul><li>Experience working in a manufacturing or production environment.</li><li>Understanding of production processes, cost drivers, and operational workflows.</li><li>Hands-on exposure to plant-level costing and operational finance.</li></ul> Core Competencies <ul><li>Strong analytical and problem-solving skills.</li><li>High attention to detail and accuracy.</li><li>Structured and organized approach with the ability to manage multiple priorities.</li><li>Ability to work cross-functionally and collaborate with operations and supply chain teams.</li><li>Strong communication skills in English (written and verbal).</li></ul>

Role Description: <ul><li>The Project Manufacturing Leader is a Project Core Team Member, in charge of the industrialization of all client production lines involved in a project Value Stream, across several client plant locations when applicable.</li><li>The PML is responsible for achieving key targets in terms of Industrial Timing, Capacity, Quality and Production Costs in line with the Planisware Work packages and deliverables on time completion (or Project LeanPD milestones) requirements. His/Her role is to define and implement the best Production System and line Concepts while ensuring that all client Global Auto industrial strategy and standards are followed.</li><li>PML involvement with a new project starts at RFQ, between G0 and G1 and lasts until SOP + 3 months.</li><li>The PML reports directly to the regional ME organization, to the PML Manager/Director and functionally to the Project Manager.</li></ul> Responsibilities : Design for Manufacturing : <ul><li>The PML participates in the Product Design activities led by the Product Design Engineering Team, contributing towards reaching a product design compliant with client Industrial Targets and allowing maximum Production Profitability.</li><li>He/She leads Technology and comparative studies in case of multiple options and ensures that Process Feasibility is optimal and validated by experts.</li></ul> Footprint and Make or Buy Studies: <ul><li>With the support of his management and considering inputs from the project team, the PML conducts a preliminary footprint analysis, including Make or Buy comparative Studies.</li><li>The PML submits the proposal to the Regional/Global Industrial Strategy team for final decision.</li></ul> Production System Definition: <ul><li>(Plant: Production System, Physical lay-out) In the early program Development phase, the PML organizes, leads and follows-up the Lean Industrial Design workshop activity, involving all Project and Plant Team functions, under coordination of the ME or Launch Director.</li><li>Based on the initial industrial assumptions, he/she builds the initial Plant internal Material &amp; Information Flow Diagram (MIFD)/VSM, Line lay-out, Plant lay-out with Production System and Logistics areas footprint calculations.</li><li>Before Program CER/Capex Committee Meeting, he/she leads the Tool and machine Design Workshop, out of which plant delivers the detailed</li><li>Production Line layout and Advanced VSM. Confirm the proposed Production System including traceability and conformity.</li><li>PML leads the assessment of any equipment refurbishment needs for the project relying on the appropriate internal or external experts and validate the effective equipment refurbishment timing and cost with vendors.</li><li>Job Description The PML identifies any Industrial risk, defines a back-up plan for critical processes and provides Industrial Impact on any Engineering Change Request.</li></ul> Process FMEA: <ul><li>PML participates in the definition of Key Product Characteristics (KPC) and Key Control Characteristics (KCC) He/She coordinates and leads the PFMEA methodology during program phase with active participation of Process Experts, including PLTL or Process Engineer.</li><li>Once the initial PFMEA is completed, ensure that actions are implemented with all updates included prior to handover to the Plant at Mass Production Trial (MPT).</li></ul> CER Committee: <ul><li>(Product Manager initially presenting because of Commercial discussion then Project discussion) PML ensures Capacity analyses are completed prior to adding new equipment to the project.</li><li>He/She optimizes Project Investment through Reuse, Bundling, Massification etc. He/She builds and monitors the detailed Project Investment List.</li><li>He/She prepares and leads the Project CER/Capex industrial Presentation, submitting CER request and approval follow-up after Project and Plant Managers have validated the investments.</li><li>Once CER is presented, he/she ensures timely CER submission/validation and follow-up in line with the industrial timing.</li></ul> Industrial Timing: <ul><li>PML builds, updates &amp; monitors the complete Project Industrial timing plan for tools, equipment, Packaging, traceability and associated processes to meet all internal (MPT) and external Customer milestones on time and right first time, from specification to final acceptance.</li><li>He coordinates Project Product Engineers and Supply Chain Engineers within the Project Team and track Plants readiness status in collaboration with the Plant PLTL.</li><li>The PML coordinates Traceability Implementation, Machine and tooling acceptance, tracking improvement actions with a robust PDCA where needed. Responsible to organize Tooling &amp; Equipment progress status reviews involving the plant PLTL.</li></ul> Industrial Performance <ul><li>PML defines and tracks main Industrial Performance indicators: - MMR and Work Content - Scrap Process rate - Process Capabilities - Capacity Status and Process Cycle Time, including Equipment Utilization Monitoring (data from plant) - Rework monitoring - Material Yield - Launch Costs consolidated in the Business Plan - Project Investment PML ensures that the most suited technical solutions for Project Financial KPI improvement are investigated through standard, automation, digitalization with payback analysis.</li></ul> PAC reviews: <ul><li>Reporting PML reports progress status on Manufacturing Work Packages and related program milestones. All PMLs participate in the PML -or regional ME Department weekly routine.</li></ul> Requirements: <ul><li>Masters degree in engineering, or equivalent professional experience.</li><li>Minimum 5 years of proven experience in production or industrial area preferably in automotive sector.</li><li>Strong ability to work in an international and multicultural environment with complex matrix organization. Team building and positive mindset.</li><li>Leadership with ability to interact and coordinate complex subjects with technical teams. Proactive with a vision of long-term impact and problem anticipation.</li><li>Knowledge in project management process, Quality Control tools in production, Lean Line Design.</li><li>Result oriented with strong written, verbal communication skills. Fluent English required.&nbsp;</li></ul>

Responsibilities: <ul><li>Create and Maintain Strategic Roadmaps: Develop and execute multi-year roadmaps to drive innovation, strengthen security posture, meet regulatory requirements, and streamline IAM operations—specifically for IAM assurance capabilities, control monitoring, and evidence automation.</li><li>Stakeholder Engagement: Build and nurture strong relationships across Security Operations, Technology Teams, Governance, Operational Risk, and Internal Audit, ensuring program alignment, audit readiness, and the ability to clearly demonstrate IAM control effectiveness to stakeholders and regulators.</li><li>Risk and Progress Management: Identify, assess, and mitigate technical and organizational risks while regularly reporting blockers, corrective actions, and program milestones to executive leadership; ensure timely remediation of control gaps and recurring defects.</li><li>Solution Design &amp; Automation: Lead and contribute to designing technical solutions for complex automation use cases, driving operational efficiency and scalability—especially automation to detect, track, and remediate IAM control defects.</li><li>Program Integrity: Ensure standards, policies, and procedures are accurately documented and officially maintained for audit and compliance requirements; recommend updates to IAM standards based on security threats, regulatory expectations, and industry trends.</li><li>Performance Tracking: Define, implement, and monitor Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) to measure program maturity and overall effectiveness, including assurance coverage, control pass rates, remediation SLAs, defect recurrence, and reporting timeliness/accuracy.</li><li>Assurance Operations Leadership: Lead assurance activities to track, validate, and remediate key logical access and authentication controls across centralized IAM services (e.g., Active Directory, Oracle LDAP, Beyond Identity) and decentralized implementations as applicable.</li><li>Assurance Reporting Platform Ownership: Manage and evolve the IAM assurance reporting platform(s) used to monitor adherence to company standards, control design, and operational effectiveness; ensure reporting is accurate, resilient, and audit-ready.</li><li>Agile Partnership with Product Owners: Partner with IAM product owners and delivery teams using Agile methodologies to prioritize and implement control improvements, balancing risk reduction with service stability and customer impact.</li><li>Control Evidence &amp; Audit Support: Ensure the organization can efficiently produce high-quality evidence for SOX, PCI, and other examinations; proactively address audit issues with root-cause correction and sustainable control improvements.</li><li>Documentation &amp; Enablement: Oversee creation, maintenance, and review of operational process documentation and end-user/training materials needed to support consistent execution of IAM assurance activities.</li><li>Problem Resolution: Independently resolve technical challenges while escalating issues with clarity when necessary.</li><li>Perform other critical duties or special projects as assigned.</li></ul> Requirements: <ul><li>BS/BA in Computer Science, Information Technology, Cybersecurity, Business Management, or equivalent, plus 10+ years IT experience, OR in lieu of a degree with 12+ years IT experience demonstrating progressive responsibility.</li><li>Minimum 5 years of experience leading multiple IAM service products (e.g., authentication, privileged access, identity governance) and driving outcomes across both centralized and distributed service models.</li><li>Minimum 5 years of experience developing and improving IAM service processes and reporting on IAM service key controls (design and operating effectiveness).</li><li>Minimum 3 years leading operations or assurance teams, including continuous monitoring, issue management, and control remediation.</li><li>At least 2 years working with Agile methodologies in roles such as Product Owner, Scrum Master, or Technical Lead.</li><li>Minimum 2 years of people management experience, leading teams of 2+ engineers or contractors.</li></ul>

Responsibilities: <ul><li>Support critical IAM programs; coordinate cross-functionally with IAM teams, Information Security teams and business IT stakeholders to manage the successful delivery of IAM projects</li><li>Deliver on suitable short-term and long-term strategic objectives</li><li>Drive and deliver program issues/risks and resolution, decision logs, communication plans and other program documentation to ensure project goals are achieved and audit traceability is in place</li><li>Engage regularly with key stakeholders on issues/risk and decisions and gather feedback on implementation of solutions impacting the organization</li><li>Establish and support program metrics and evaluation methods to assess program strengths and identify areas for improvement as well as timely reporting of program status throughout its life cycle</li><li>Prepare and present reports for program sponsors and leadership</li></ul> Requirements: <ul><li>Bachelor’s degree or equivalent experience; technology or equivalent related field preferred, with a minimum of 6 years of experience in Information Technology OR in lieu of the Bachelors degree, a minimum of 8 years of experience in Information Technology</li><li>Minimum of 5 years of experience managing large scale, cross functional project</li><li>Minimum of 5 years of experience in information technology, with a focus on information security in one or more of the following areas: IAM, security operations, security architecture, policy/governance</li><li>Minimum of 4 years of experience supporting auditors, audit inquiries and ad-hoc reporting</li><li>Solid management skills</li><li>Experience with metrics for assessing and reporting program progress, productivity and variance analysis</li><li>Strong problem solving skills</li><li>Strong oral and written communication (presentation) skills</li><li>Program Management Certified (PMP) preferred</li></ul>

Responsibilities: <ul><li>Leading development of advanced AI Agentic tech.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</li><li>Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.</li><li>Analyzing large datasets to identify patterns and trends that can inform AI development.</li><li>Communicating findings and insights to stakeholders in a clear and concise manner.</li><li>Staying current with the latest AI and machine learning trends and technologies.</li><li>Mentoring junior data scientists and provide guidance on AI and machine learning best practices</li><li>Driving best practices across our data science functions.</li><li>Setting strategy and team direction, with a clear vision for Data Science.</li><li>Working with product leaders to apply data science solutions..</li><li>Evaluating and creating new frameworks and defining methodologies and governance.</li><li>Leading small- to medium-sized teams (direct or indirect).</li><li>Setting a high bar for model development.</li></ul> Requirements: <ul><li>3+ years of people management experience.</li><li>7+ years of AI/ML experience.</li><li>Significant experience in managing larger technical teams (direct or indirect).</li><li>Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues.</li><li>Be a natural problem solver, able to take a lead in collaborating to resolve issues.</li><li>Have excellent communication skills and the ability to convey information clearly to senior stakeholders.</li><li>Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests.</li><li>Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.</li><li>Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.</li><li>Experience with reinforcement learning, prompt engineering, hallucination mitigation.</li><li>Working understanding of the business risks associated with applying LLM in a business.</li><li>Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark).</li><li>Strong coding skills in Python or another programming language.</li><li>Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders.</li></ul>

Responsibilities: <ul><li>Lead experimentation and model development for AI/ML solutions in legal products.</li><li>Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>Establish best practices for model evaluation, validation, and benchmarking.</li><li>Translate experimental results into clear product recommendations and business impact.</li><li>Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>Mentor team members and provide technical leadership in data science and AI.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>Proven experience designing and running experiments, including model evaluation and iteration.</li><li>Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>Proficiency in Python and data analysis tools.</li><li>Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul>

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274 complex analysis Jobs found

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Project Manufacturing Leader

VP, IAM Assurance Leader

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

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274 complex analysis Jobs found

Logistics Analyst

Business Intelligence Analyst

Customer Service Specialist

Sr. Application Developer

Cost Accountant

Project Manufacturing Leader

VP, IAM Assurance Leader

AVP, IAM Program Manager

Manager, Data Science - Agentic AI

Senior Data Scientist III - Agentic AI

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.