Consultant, Data Analytics & Reporting-Food

Business Process Analyst – Warehouse/Logistics

Logistics Analyst

Lead IT Business Consultant Service - D365

Senior Data Engineer

AVP – Model Ops Engineer

Associate Data Engineer

Data & Business Intelligence Analyst

Supply Chain Analyst lll

Supply Chain Analyst III

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: Process Documentation and Modelling: <ul><li>Collaborate with business stakeholders and process owners to understand and document existing processes using BPMN notation.</li><li>Create detailed process maps, workflows, and diagrams that accurately represent the end-to-end processes and related activities (process map should include clear RACI, Tools, WI)</li><li>Ensure that all process documentation is clear, consistent, and follows best practices in BPMN modelling.</li><li>Adopt Single Source of Truth concept, utilize BPMN-tool to create, update, and maintain process documentation in a centralized and accessible manner.</li><li>Ensure process KPI are documented</li></ul> Process Analysis and Optimization: <ul><li>Work with process owner to analyse processes &amp; identify inefficiencies, bottlenecks, and areas for improvement.</li><li>Work with process owner &amp; cross-functional teams to propose for process optimizations and enhancements using BPMN-tool capabilities.</li><li>Validate process changes with stakeholders and ensure that process improvements align with organizational goals, including handshake process to cross functional team</li></ul> System Knowledge &amp; Analysis: <ul><li>Understand D365 system logic &amp; guide users to follow the documented planning processes &amp; principles during day-to-day operation</li><li>Able to drill through system data &amp; perform analysis per business request using available analytic tools</li></ul> Requirements: <ul><li>Bachelors degree in Supply Chain Management, Business Administration, Management, Information Technology, Warehouse/Logistic or a related field. Masters degree is a plus.</li><li>Proven experience (typically 5+ years) in business process management, process documentation, or related roles.</li><li>At least 3 years working experience in operational supply chain functions (Warehouse/Logistic)</li><li>Excellent project management skills, planning, prioritization, ability to innovate and execute on solutions that matter, and provide timely updates/recommendations.</li><li>Good analytical, influencing and problem-solving skills and ability to handle team and client discussions.</li><li>Flexible to take on ad-hoc assignment or project as necessary.</li><li>Logical &amp; Analytical mindset with the ability to identify process improvement opportunities through data analysis.</li><li>Excellent communication skills, both written and verbal, to effectively collaborate with stakeholders and present complex concepts.</li><li>Understanding of process improvement methodologies such as Lean, Six Sigma, or Business Process Reengineering (BPR).</li><li>Familiarity with compliance and regulatory requirements related to business processes.</li></ul>

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: Lead Consultant Responsibilities <ul><li>Provide oversight and ensure solutions align with the broader business architecture, avoiding siloed approaches.</li><li>Ensure modifications to shared functionalities are evaluated holistically to avoid conflicting changes.</li><li>Establish and enforce best practices, including clear documentation, intuitive configurations, and optimized parameter settings.</li><li>Challenge business requirements to ensure cost-effective and value-driven solutions.</li><li>Harmonize design across multiple consultants, teams, and projects to enhance consistency and efficiency.</li></ul> Work closely with the ERP Solution Architect to ensure: <ul><li>Alignment with Microsoft’s roadmap and strategic ERP direction.</li><li>Architectural consistency across process areas and technical solutions.</li><li>Risk assessment for system-critical modifications.</li><li>Data migration strategies align with the overall system architecture.</li><li>Identification and resolution of conflicts with other processes, modifications, or upcoming Microsoft updates.</li></ul> Service-Specific Responsibilities <ul><li>Lead solution delivery for Service processes based on D365 Finance and Operations modules, covering:</li></ul> <ul><li>Project Management and Accounting module</li><li>HSO Service Management module</li><li>Intercompany chain</li><li>Sales orders and Return orders management</li><li>Advanced Warehousing (incl. Batch and Serial tracking)</li><li>Act as the primary owner and project lead for Service-related ERP implementations and enhancements.</li><li>Analyze business needs and develop solution concepts.</li><li>Design, configure, and document ERP solutions.</li><li>Provide detailed requirements for the development team.</li></ul> Requirements: <ul><li>Extensive experience (min. 5 years) as a Microsoft D365 ERP F&amp;O IT Consultant with a focus on Service.</li><li>Agile mindset and ability to work independently.</li><li>Strong analytical and problem-solving skills, with the ability to think critically under pressure.</li><li>Excellent communication skills, capable of engaging with stakeholders at all levels.</li><li>Leadership skills, including the ability to mentor consultants and drive best practices across teams.</li><li>Fluent in English.</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Responsibilities: <ul><li>Ability to troubleshoot problems in a live environment and provide real time help with critical issues.</li><li>Write code that is easily understood and maintainable by other team members.</li><li>Keep up to date with developments in technologies we are using.</li><li>Ability to communicate and work effectively, supporting various business departments.</li><li>Ability to work in fast-paced interdisciplinary environment.</li></ul> Requirements <ul><li>BA/BS in Computer Science or equivalent practical experience.&nbsp;</li><li>At least 3+ years of post-university experience as a full-stack engineer.</li><li>Solid knowledge of programming fundamentals—algorithms, data structures, design patterns, and paradigms.</li><li>Strong knowledge of Python.</li><li>Solid knowledge SQL and relational databases.</li><li>Knowledge of Extract-Transform-Load (ETL) and big data analytics tools.</li><li>Experience working in a cloud environment (AWS, Azure, GCP).</li><li>Familiarity with popular Python data analytics frameworks.</li><li>Familiarity with Snowflake or other large analytics engines.</li><li>Experience with data warehousing and working in environments with large scale, complex analytics requirements.</li><li>Familiarity with DAG-based job scheduling tools.</li><li>Cloud-native container orchestration platforms and tools.</li><li>Experience working in the Financial Services industry.</li></ul>

Responsibilities: <ul><li>Dashboard Design and Development: Design, develop, and maintain interactive and user-friendly dashboards in PowerBI and Looker, focusing on clarity, performance, and data accuracy.&nbsp;</li><li>Data Lake Integration: Connect to and leverage data from various data lake sources on GCP, ensuring seamless data flow for visualization purposes.&nbsp;</li><li>Semantic Model Development: Develop and maintain robust semantic models in Looker (LookML) and PowerBI, ensuring data consistency, accuracy, and ease of use for reporting and analysis. This includes defining dimensions, measures, relationships, and calculations.&nbsp;</li><li>Machine Learning and GenAI Visualization: Create compelling visualizations to effectively communicate the results, performance, and insights derived from machine learning models and GenAI applications. This may involve visualizing model predictions, feature importance, natural language processing outputs, and other relevant data.&nbsp;</li><li>GCP Expertise: Utilize your strong understanding of GCP services to access, process, and prepare data for visualization. This may involve working with services such as BigQuery, Cloud Storage, and potentially data engineering pipelines built on GCP.&nbsp;</li><li>Collaboration: Partner closely with data scientists, data engineers, product managers, and business stakeholders to understand their data visualization needs and translate them into effective visual solutions.&nbsp;</li><li>Requirements Gathering: Elicit and document visualization requirements from various stakeholders, ensuring alignment with business objectives.&nbsp;</li><li>Performance Optimization: Optimize dashboard and visualization performance to ensure fast load times and efficient data rendering.&nbsp;</li><li>Data Quality Assurance: Ensure the accuracy, consistency, and reliability of data presented in visualizations.&nbsp;</li><li>Best Practices and Standards: Establish and enforce data visualization best practices and standards across the organization.&nbsp;</li><li>Training and Support: Provide guidance and support to other team members on data visualization tools and techniques.&nbsp;</li><li>Continuous Learning: Stay up to date with the latest trends and advancements in data visualization, PowerBI, Looker, GCP, and related technologies, particularly in the context of AI/ML.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s or master’s degree in computer science, Data Science, Statistics, Information Systems, or a related field.&nbsp;</li><li>Minimum of 3 years of experience as a Visualization Expert, Data Visualization Engineer, or a similar role.&nbsp;</li><li>Proven expertise in designing and developing interactive dashboards and reports using PowerBI and Looker.&nbsp;</li><li>Strong experience in connecting to and working with data lakes, preferably on the Google Cloud Platform (GCP).&nbsp;</li><li>Solid understanding and hands-on experience in developing semantic models, particularly with LookML in Looker and data modeling within PowerBI.&nbsp;</li><li>Preferable experience in creating visualizations specifically for machine learning and GenAI applications, understanding the nuances of presenting model outputs and insights.&nbsp;</li><li>Proficiency in SQL for data extraction and manipulation.&nbsp;</li><li>Familiarity with data warehousing concepts and data modeling techniques.&nbsp;</li><li>Experience with data preparation, ELT (preferred) / ETL processes.&nbsp;</li><li>Strong analytical and problem-solving skills with the ability to interpret complex data.&nbsp;</li><li>Excellent communication and presentation skills, with the ability to convey technical information to both technical and non-technical audiences.&nbsp;&nbsp;</li><li>Ability to work independently and collaboratively in a fast-paced environment.&nbsp;&nbsp;</li><li>Strong portfolio showcasing your data visualization skills and experience.&nbsp;</li></ul>

Responsibilities: <ul><li>Develop and implement an end-to-end Stocking Policy framework for both raw materials and finished goods for Malaysia and Philippines plants</li><li>Collaborate with cross-functional team and ensure alignment on the stocking policy</li><li>Align inventory strategies with modes of shipment to balance the cost, lead time, and service reliability</li><li>Adjust safety stock parameters based on shipment mode-specific lead times and transit variability</li><li>Work closely with the logistics team to ensure mode of shipment decisions support stocking and replenishment strategies</li><li>Recommend shipment mode adjustments in response to supply chain disruptions, capacity constraints, or changes in demand patterns</li><li>Conduct simulation analysis to provide the impact of changes to stocking policy and mode of shipment on leadtime, inventory, warehousing, and transportation cost</li><li>Ensure governance processes are in place to maintain data accuracy and consistency of stocking policy across Malaysia and Philippines plants and stakeholders</li><li>Drive continuous improvement initiatives to enhance stocking efficiency, optimize inventory, and cost, and enhance customer satisfaction</li><li>Support capability building by training supply chain teams on stocking policy concepts, tools, and governance processes</li><li>Follow up on block inventory and push owners to solve issues</li><li>Follow RMA closely on time</li></ul>&nbsp;Requirements: ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s degree in supply chain, Operations Management, Industrial Engineering, or related field·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Minimum 10 years of experience in Supply Chain management.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years working experience in Supply Chain roles – Materials Planning, Factory Planning, Finished Goods Planning·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience using SAP S/4 Hana, IBP, or equivalent planning tools is a must·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical continuous improvement skills as well as a good understanding of data analytics capabilities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven end-to-end Supply Chain experience, with a strong focus on strategic aspects rather than purely tactical or operational functions.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Expertise in stocking policies, logistics, and related processes.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated involvement in Continuous Improvement initiatives and projects.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong cross-functional collaboration experience.Proven capability in implementing new processes and systems

JOB SUMMARYOur client’s business unit is seeking a motivated, highly analytical, and detail- oriented Supply Chain Analyst to join our Central Planning team. This role will manage, optimize, and develop capabilities in key areas of our supply chain, including End-to-End Stocking Policy, Safety Stocks, and Mode of Shipment for both raw materials and finished goods. The ideal candidate will leverage data and analytics to ensure efficient operations, seamless collaboration, and drive supply chain excellence. Key Responsibilities:<ul><li>Develop and implement an end-to-end Stocking Policy framework for both raw materials and finished goods for Malaysia and Philippines plants</li><li>Collaborate with cross-functional team and ensure alignment on the stocking policy</li><li>Align inventory strategies with modes of shipment to balance the cost, lead time, and service reliability</li><li>Adjust safety stock parameters based on shipment mode-specific lead times and transit variability</li><li>Work closely with the logistics team to ensure mode of shipment decisions support stocking and replenishment strategies</li><li>Recommend shipment mode adjustments in response to supply chain disruptions, capacity constraints, or changes in demand patterns</li><li>Conduct simulation analysis to provide the impact of changes to stocking policy and mode of shipment on leadtime, inventory, warehousing, and transportation cost</li><li>Ensure governance processes are in place to maintain data accuracy and consistency of stocking policy across Malaysia and Philippines plants and stakeholders</li><li>Drive continuous improvement initiatives to enhance stocking efficiency, optimize inventory, and cost, and enhance customer satisfaction</li><li>Support capability building by training supply chain teams on stocking policy concepts, tools, and governance processes</li><li>Follow up on block inventory and push owners to solve issues</li><li>Follow RMA closely on time</li></ul>&nbsp;&nbsp;<img src="//:0" height="6" width="696">Qualifications:&nbsp;What should your background look like:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s degree in supply chain, Operations Management, Industrial Engineering, or related field·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Minimum 10 years of experience in Supply Chain management.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5+ years working experience in Supply Chain roles – Materials Planning, Factory Planning, Finished Goods Planning·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience using SAP S/4 Hana, IBP, or equivalent planning tools is a must·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical continuous improvement skills as well as a good understanding of data analytics capabilities·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven end-to-end Supply Chain experience, with a strong focus on strategic aspects rather than purely tactical or operational functions.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Expertise in stocking policies, logistics, and related processes.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Demonstrated involvement in Continuous Improvement initiatives and projects.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong cross-functional collaboration experience.<ul><li>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proven capability in implementing new processes and systems.</li></ul>

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10 warehousing Jobs found

Consultant, Data Analytics & Reporting-Food

Business Process Analyst – Warehouse/Logistics

Logistics Analyst

Lead IT Business Consultant Service - D365

Senior Data Engineer

AVP – Model Ops Engineer

Associate Data Engineer

Data & Business Intelligence Analyst

Supply Chain Analyst lll

Supply Chain Analyst III

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10 warehousing Jobs found

Consultant, Data Analytics & Reporting-Food

Business Process Analyst – Warehouse/Logistics

Logistics Analyst

Lead IT Business Consultant Service - D365

Senior Data Engineer

AVP – Model Ops Engineer

Associate Data Engineer

Data & Business Intelligence Analyst

Supply Chain Analyst lll

Supply Chain Analyst III

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

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Contact Us

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