Digital Factory Engineer

Central Demand Planner

Key Account and E-Commerce Manager

Business Intelligence Developer

Portfolio Assessment Analyst

Financial Analyst

Manager, Data Science (GNS)

Responsibilities: <ul><li>At our client, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.&nbsp;</li><li>Drives the implementation of programs and projects to improve products and processes and develops deployment plans.&nbsp;</li><li>Digital Factory transformation project followed APAC and Internal plant.direction.&nbsp;</li><li>Daily trouble shooting in production, provide short term &amp; long term solution to team.&nbsp;</li><li>Suggest &amp; drive improvements digital solution.&nbsp;</li><li>Support project assignment.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Plant digitals, cooperate with APAC and our client service team for transformation project.&nbsp;</li><li>Digital factory transformation project implementation, Identify and resolve issue during implementation.&nbsp;</li><li>Training on new digital tools and technologies. Develop training material and provide training to ensure fully utilization.&nbsp;</li><li>Maintain and troubleshooting for exiting digital tools, AGV, Material Calling System, Hydra, dPIM etc.&nbsp;</li><li>Continuous Improvement, identify new opportunities and innovation in operation processes.&nbsp;</li><li>Data analysis and monitoring, Operations Scorecard, Operation Dashboard (SCCOP, SHE, OEE) and advise weakness areas for improvement.&nbsp;</li><li>Handle on CER related /CI working with operations and cross functional team.&nbsp;</li><li>Support operations project assignment.&nbsp;</li></ul> What your background should look like&nbsp; <ul><li>Bachelor’s Degree in Information Technology, Computer science or related field.&nbsp;</li><li>Strong knowledge and experiences in Digital transformation projects.&nbsp;</li><li>Familiarity with digital tools and technologies used in manufacturing.&nbsp;</li><li>Minimum 3 to 6 years working experience in manufacturing sector.&nbsp;</li><li>Knowledge of in cloud technology, virtualization, mobile application, IOT, SQL Server.&nbsp;</li><li>Reporting Services, Power BI, Tableau.&nbsp;</li><li>Good knowledge in Data Storage, Cloud, Microsoft Power Apps.&nbsp;</li><li>Good knowledge in Dashboard creation, Graphic and User Interface (UI) design.&nbsp;</li><li>New enhancement for new functionality in SAP and Hydra.&nbsp;</li><li>OEE, Utilization analysis skill.&nbsp;</li><li>Knowledge and experiences in Enterprise Resource Planning software – SAP/BOM/Routing will be advantage.&nbsp;</li><li>Logical thinking with Project Management Skill.&nbsp;</li><li>Fluent in English and good communication.&nbsp;</li><li>Interpersonal skills.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead the Global Demand Planning Cycle of the S&amp;OP process: Own and execute the monthly demand process from system handover to consensus sign-off. </li><li>Coordinate inputs from Sales, Product Management, and Finance, and ensure outputs feed into supply planning and S&amp;OP.</li></ul> Improve Forecast Accuracy:&nbsp; <ul><li>Drive measurable improvements in MAPE, Bias, and Forecast Adherence. Use data-driven techniques and root-cause analysis to understand gaps and implement corrective actions.</li></ul> Bridge Strategy and Execution:&nbsp; <ul><li>Translate commercial assumptions and market intelligence into an aligned, actionable forecast that drives capacity, procurement, and financial planning.</li></ul> Advance Tools and Reporting:&nbsp; <ul><li>Develop and maintain robust forecasting reports and KPIs using Excel, Power BI (or Tableau), and SAP IBP. </li><li>Push the team toward automated, visual, and insightful reporting.</li><li>Facilitate Consensus and Governance: Orchestrate monthly consensus meetings and prepare executive-ready materials that clearly communicate changes, assumptions, and risks.</li></ul> Support Constrained Planning:&nbsp; <ul><li>Collaborate with the Supply Planner to identify constraint-driven adjustments and simulate scenarios to evaluate trade-offs.</li><li>Enhance Collaboration and Accountability: Act as the single point of contact for demand planning across regions. Push for timely inputs, challenge assumptions, and ensure cross-functional accountability.</li></ul> Lead Process Improvements:&nbsp; <ul><li>Identify inefficiencies and design solutions—whether it’s template optimization, system enhancements, or training stakeholders on best practices.</li></ul> Support S&amp;OP Strategy:&nbsp; <ul><li>Contribute actively to the broader S&amp;OP cycle, including confidence-level strategies, forecast version control, and long-range planning exercises.</li></ul> Requirements: <ul><li>Bachelor’s degree in supply chain, Engineering, Business, or related field; Master’s preferred</li><li>Minimum 5 years of experience in demand planning or S&amp;OP in a multinational environment</li><li>Demonstrated ability to work independently and proactively influence cross-functional teams</li><li>High proficiency in Excel and Power BI (or Tableau); experience with SAP IBP is strongly preferred</li><li>Strong business acumen and communication skills; able to translate data into decisions</li><li>Fluent in English</li></ul>

Role Desscription: <ul><li>The key account and e-commerce manager is responsible for driving the execution of brand and commercial strategies across digital sales channels, ensuring excellence in online presence, promotion and conversion.</li><li>This role acts as the key interface between marketing, sales and eRetailers, translating brand &amp; commercial objectives into shopper-centric initiatives that enhance visibility, engagement, and sell out performance in the digital environment.</li></ul> Responsibilities: <ul><li>Connecting with distributors to drive sales in pure e-commerce players (Lazada, Shopee etc).</li><li>Ensure excellence in execution in e-commerce across pure players and also retail e-commerces.</li><li>Omnichannel execution. Ensure 360 activation of IMC in e-commerce platforms across focus markets in SSEA.</li></ul> Key Accountabilities <ul><li>Digital Channel Strategy Execution: translate brand and sales strategies into tailored online plans for each digital customer (marketplaces, B&amp;C, quick commerce). Align and execute commercial calendars, launches, and campaigns in collaboration with Sales and Marketing teams.</li><li>% of planned activities executed according to the digital commercial calendar.</li><li>Internal alignment score with Sales and Marketing (e.g., internal NPS or feedback in JBP sessions).</li><li>Number of campaigns successfully launched by channel/platform.</li></ul> <ul><li>Visibility and Conversion: Ensure best-in-class product content, imagery, and search optimization across all eRetail platforms.</li><li>Deploy digital trade initiatives (e.g., banners, activations, product sampling) to increase brand visibility and conversion.</li><li>Share of Search (SoS) for top keywords per platform.</li><li>Conversion Rate (CVR) by priority product and platform.</li><li>% of planned digital assets (e.g., banners, feature slots) executed on time.</li></ul> <ul><li>Promo &amp; Investment Planning: Coordinate digital promotional mechanics in line with budget, ROI, and brand guidelines.</li><li>Monitor competitive pricing and promotions to adjust plans accordingly.</li><li>ROI of promotional campaigns (% return on investment).</li><li>Budget adherence rate (% of trade digital budget spent as planned).</li><li>Sell-out growth during promotional periods (vs. pre-promo baseline or LY).</li></ul> <ul><li>Performance Analysis &amp; Reporting:</li><li>Track and analyze key performance indicators (e.g., sell-out, share of shelf, conversion rates, media ROI).</li><li>Generate actionable insights to optimize future campaigns and investments.</li><li>Accuracy of reported data (target: &lt;5% margin of error).</li></ul> <ul><li>Content &amp; Assortment Management:</li><li>Maintain accurate and complete product information, ensuring consistent presence across platforms.</li><li>Support in defining digital assortment priorities and product visibility strategies by platform.</li><li>% of SKUs with compliant, high-quality content live on each platform.</li><li>Time to market for new product content.</li><li>Assortment compliance rate per retailer (e.g., % of priority SKUs listed).</li></ul> Requirements: <ul><li>Experience Capability.</li><li>Graduation Complete.</li><li>MBA (Differential).</li></ul> Language <ul><li>Advanced English</li></ul> Discipline of Knowledge. <ul><li>Administration, Economics, Marketing</li></ul> Specific knowledge of the team you lead. <ul><li>Previous experience in FMCG Industries in E-commerce or in pure e-commerce players.</li><li>Proficiency in Excel and Power Point.</li><li>Project management.</li><li>Knowledge of Tableau (BI and Dashboards) or programming language.</li></ul> Organization <ul><li>Analytical – Working with data Management.</li></ul> Communication <ul><li>Teamwork.</li><li>Resilience and self-motivation.</li><li>Logical reasoning.</li><li>Ability to prioritize and sense of urgency.</li><li>Ability to execute.</li></ul>

Responsibilities: <ul><li>Client is seeking a skilled Business Intelligence Developer to design, build, and maintain enterprise-scale data products and data sources using platforms like Tableau and Streamlit.</li><li>The ideal candidate will be a detail-oriented developer with strong technical skills who can translate business requirements into robust analytical solutions.</li><li>This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships and collaborate to solve problems.</li><li>Design, develop, and maintain interactive data products and reports in Tableau, Streamlit, and other BI tools.</li><li>Build and optimize data sources, ensuring data integrity and performance at enterprise scale</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications.</li><li>Develop scalable data product solutions that can accommodate growing user bases and data volumes.</li><li>Implement best practices for data product design, data modeling, and visualization techniques.</li><li>Monitor data product performance and user adoption, making improvements as needed.</li><li>Maintain documentation for data products, data sources, and development processes.</li><li>Troubleshoot and resolve technical issues with existing data products and data connections.</li><li>Support data governance initiatives by ensuring consistent data definitions and calculations across reports.</li><li>Participate in code reviews and maintain version control for BI development projects.</li><li>Stay current with BI tool updates and emerging visualization technologies.</li><li>Provide technical support to end users and assist with data product-related questions.</li><li>Contribute to the development of reusable components and templates for efficiency gains.</li></ul> Requirements: Qualifications <ul><li>3+ years in the data space as an analyst, engineer, or equivalent.</li><li>3+ years experience designing, implementing, operating, and extending enterprise dimensional models.</li><li>3+ years working with a large-scale data warehouse, preferably in a cloud environment.</li><li>3+ years of hands-on experience developing data products and reports in Tableau, including advanced calculations, parameters, and complex visualizations.</li><li>Experience with Streamlit or similar Python-based data product frameworks.</li><li>Experience with modern data stack technologies including cloud data warehouses (AWS/Snowflake) and ELT tools.</li><li>1+ years maintaining a project workstream to identify tasks, milestones, and deliverables.</li><li>Bachelors degree in Computer Science, Information Systems, Mathematics,</li></ul>

Responsibilities: <ul><li>Provide support to enhance the frequency and accuracy of forecasting for generic pharmaceutical products (Oral, Injectables / Complex Injectables, Inhalational Products, etc.) and business development activities.</li><li>Effectively communicate modeling assumptions to key stakeholders, including senior leadership, and triangulate these assumptions with supporting data and forecasting models to test their robustness and develop “what if” scenarios.</li><li>Create and maintain commercial assessments to support company needs such as annual budgets, strategic planning, capacity expansions, pipeline reviews, business opportunities, and recurring financial projections.</li><li>Establish and maintain a network of secondary and primary research sources in support of planned generic and innovative products to aid in developing product launch plans and strategies.</li><li>Develop reports and analyze the effectiveness of standard business assumptions related to product forecasting — including generic substitution rate, market share, and pricing — using data analytics tools.</li><li>Develop and maintain forecast vs. actual reports for launched products, using analytical insights to improve forecast accuracy for pipeline products.</li><li>Gain expertise in EPM planning tools to become a superuser and design consolidated reports required by internal stakeholders (e.g., pipeline volumes, product performance metrics, etc.).</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree required in Science, Business, or Marketing (Advanced degree preferred).</li><li>A well-rounded professional with 2+ years of experience in the Generic Rx Pharmaceutical industry, specifically in areas such as sales, marketing, or supply and logistics.</li><li>Demonstrated understanding of the pharmaceutical industry and marketing principles; familiarity with regulatory frameworks for pharmaceutical products is desirable.</li><li>Proven excellence in generic sales or marketing and the ability to manage multiple projects and priorities effectively and on time.</li><li>Working knowledge of competitive intelligence tools such as IQVIA, Cortellis, GlobalData, Evaluate, IPD, and public financial filings for commercial assessment.</li><li>Proficiency in Microsoft Office tools (Outlook, Excel, PowerPoint, Word, etc.); experience with data analytics tools like Tableau, Alteryx, and Power BI is a plus but not mandatory.</li></ul>

Responsibilities: Responsible for ensuring timely and quality financial planning and reporting, including: <ul><li>IT Cost Reporting</li><li>Departmental Spending</li><li>IPRB / Rationalisation / Cost Saving</li><li>Financial Review package Scrap</li><li>Spending analysis for Actual vs Outlook vs Budget for various areas such as: Operations, Factory support, R&amp;D, S&amp;M, G&amp;A expenses, etc and identify opportunities for cost improvement.</li><li>Analyze financial results and highlight key trends, variances, and risks.</li><li>Provide insights into revenue, expenses, and profitability performance</li><li>Prepare Quarterly Outlook / Yearly Budget for:</li><li>Operations, Factory support, R&amp;D, S&amp;M, G&amp;A expenses forecast)IT spending</li><li>IPRB / Rationalisation / Cost Saving Scrap</li><li>Ad hoc projects - Process Automation / Improvement</li></ul> Requirements: <ul><li>Degree in Engineering / Accountancy/ Business Admin</li><li>2 to 3 years of Finance, Accounting, or related work experience.</li><li>Proficient in Microsoft office skill, preferably knowledge of SAP</li><li>Knowledge of VBA Excel Programming and Tableau application will be an added advantage.</li><li>Able to work under Stressful environment &amp; tight deadline</li><li>Good in planning and organizational and analytical skill</li><li>Proactive and good problem-solving skills</li><li>Possess good interpersonal and communication skills</li></ul>

Responsibilities: <ul><li>Manage a team of data scientists and engineers to design, develop, and deploy advanced AI solutions.</li><li>Lead the development of AI and machine learning models to solve business problems.</li><li>Research, build, and deploy models based on shallow and deep machine learning.</li><li>Train robust NLP-based models on large datasets.</li><li>Collaborate with cross-functional teams to align AI solutions with business goals and customer needs.</li><li>Design APIs for disseminating data science outputs.</li><li>Oversee the scaling of production systems to meet growing demands.</li><li>Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.</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>Have substantial experience in a senior data scientist role.</li><li>Have experience in leading complex projects and customer relationships.</li><li>Have 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></ul> Highly Desired Skills and Experience: <ul><li>PhD or Masters degree in Computer Science, Mathematics, Statistics, or a related field.</li><li>7-10+ years of experience in AI and machine learning.</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><li>Strong problem-solving skills and the ability to think outside the box. </li></ul>

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7 tableau Jobs found

Digital Factory Engineer

Central Demand Planner

Key Account and E-Commerce Manager

Business Intelligence Developer

Portfolio Assessment Analyst

Financial Analyst

Manager, Data Science (GNS)

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7 tableau Jobs found

Digital Factory Engineer

Central Demand Planner

Key Account and E-Commerce Manager

Business Intelligence Developer

Portfolio Assessment Analyst

Financial Analyst

Manager, Data Science (GNS)

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

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