Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Sr. Mgr. Product Management, Data Connectivity Global Portfolio Lead Differential

Senior Talent Acquisition Specialist

Legal Workflow Automation Executive

Legal Workflow Specialist

Business Analyst  Authorization, BTP & Basis

Forward Deployed AI Strategist

Core Operations Manager

Finance Business Partner

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: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsibilities: <ul><li>The key tasks of the role to successfully getting the business to the next phase of growth, include:</li><li>Strategic Portfolio Management for the global Data Connectivity Differential product portfolio by understanding the various regional (customer) requirements and aligning the different regional organizations on a single Differential Portfolio Strategy</li><li>Foster best practice sharing between regions enabling successful margin improvements and revenue grows</li><li>Enablement and support of regional project execution esp. on cross-regional and large strategic projects</li><li>Build culture of continuous improvement, which leverages best practice processes and metrics to drive year-over-year improvements by partnering with operations including optimization of global manufacturing footprints as well as driving product management excellence</li><li>Driving the coordination of go-to-market strategies and cross-regional and cross-functional activities</li><li>Gaining market share with data connectivity differential products</li><li>Build out product roadmaps in technically complex market environments, aligning with key accounts and create differentiation in target applications.</li><li>Assess and articulate opportunities with new technological trends ensuring long-term continuous pipeline growth and enabling sales force to capture and secure new opportunities.</li></ul> Requirements: <ul><li>Minimum 10 years’ experience combining several experiences, with at least 5 years in Product Management, in industry (Automotive Connectors, experience in Data Connectivity Products strictly preferred).</li><li>Minimum of 4 years technical or business degree required; preference for advanced degree (MS, MBA).</li><li>Strong interpersonal and influencing skills, with the ability to build credible relationships with multiple functions and work successfully across various cultures</li><li>Proven commercial and leadership track record to drive regional/global market share gains, including sales, operations, and engineering teams with significant customer exposure at senior executive level in a fast paced and changing environment with the ability to work to tight deadlines.</li><li>Proven financial acumen in evaluating project and program financials and change management</li><li>Demonstrated strong leadership skills in leading teams and managing cross-functional teams globally.</li><li>Ability to effectively work under pressure in a global environment and to meet challenging targets.</li><li>Demonstrated Experience successfully scaling newly launched product portfolios.</li><li>Clear, strategic thinker with vision and the ability to execute on priorities.</li><li>Up to 30% of domestic and international travel dependent on business needs are required.</li></ul>

Responsibilities: End-to-End Recruitment: <ul><li>Manage full recruitment lifecycle: sourcing, screening, interviewing, offer negotiation, and closing&nbsp;</li><li>Handle multiple concurrent requisitions across different functions and seniority levels&nbsp;</li><li>Deliver high-quality hires within tight timelines&nbsp;</li></ul> Agency-Style Sourcing Excellence: <ul><li>Proactively source passive candidates via LinkedIn Recruiter (must-have)&nbsp;</li><li>Utilize additional sourcing channels such as databases, referrals, and direct outreach&nbsp;</li><li>Experience with China platforms (51job, Liepin, SEEK) is a strong plus but not required&nbsp;</li><li>Conduct market mapping, competitor analysis, and talent pipelining for key roles&nbsp;</li></ul> Stakeholder Management: <ul><li>Partner closely with hiring managers and HR across global teams&nbsp;</li><li>Translate hiring needs into actionable sourcing strategies&nbsp;</li><li>Provide insights on talent availability, compensation benchmarks, and market trends&nbsp;</li></ul> Candidate Management &amp; Offer Closing: <ul><li>Manage end-to-end candidate experience from engagement to offer acceptance&nbsp;</li><li>Drive offer negotiation and improve conversion rates&nbsp;</li><li>Maintain strong candidate engagement throughout the process&nbsp;</li></ul> Delivery &amp; Performance Focus: <ul><li>Work against hiring targets, SLAs, and priority requisitions&nbsp;</li><li>Maintain strong pipeline health and role visibility&nbsp;</li><li>Ensure fast execution in a high-volume, fast-paced environment&nbsp;</li></ul> Fully Remote Collaboration: <ul><li>Operate independently in a fully remote setup (Taiwan-based)&nbsp;</li><li>Work across time zones with global stakeholders&nbsp;</li><li>Use ATS, Teams, Outlook and other collaboration tools effectively&nbsp;</li></ul> Requirements: <ul><li>5–8+ years of recruitment experience&nbsp;</li><li>Strong agency / executive search background strongly preferred&nbsp;</li><li>Proven experience handling multiple requisitions in fast-paced environments&nbsp;</li><li>Experience recruiting mid-to-senior level roles&nbsp;</li><li>Fluent Mandarin &amp; English proficiency&nbsp;</li><li>Strong proficiency in LinkedIn Recruiter&nbsp;</li><li>Strong sourcing and headhunting capability (agency-standard expected)&nbsp;</li><li>Excellent stakeholder management and influencing skills&nbsp;</li><li>Strong negotiation and offer closing ability&nbsp;</li><li>High execution speed and prioritization ability&nbsp;</li></ul>

Role Description: <ul><li>As a Legal Workflow Automation Executive , you collaborate closely with top legal teams to leverage Generative AI in automating legal processes—designing intelligent workflows that streamline operations, enhance efficiency, and empower firms to make more informed decisions.</li><li>Your role centres on identifying automation opportunities, demonstrating practical AI-driven solutions, and guiding adoption to ensure measurable improvements from initial implementation through to scalable impact.</li></ul> Responsibilities: <ul><li>Partner with lawyers and legal operations leaders to unpack real world legal workflows, pain points, and inefficiencies.</li><li>Translate legal work into high value workflow use cases supported by AI and trusted legal content.</li><li>Design and deliver tailored product demonstrations, training sessions, and workshops aligned to specific practice areas and team needs.</li><li>Support the full client journey in partnership with Customer Success — from pilots and onboarding to firm wide or department wide adoption.</li><li>Act as a strategic sounding board for clients evaluating the ROI, risk, and operational impact of AI in legal practice.</li><li>Represent the customer internally by feeding insights into product development, roadmap prioritisation, and go to market strategy.</li><li>Capture best practices and contribute to repeatable playbooks that help scale this function locally and globally.</li></ul> Requirements: <ul><li>A recognised legal qualification (LLB or equivalent).</li><li>A minimum of 3 years’ experience practising law within a top tier law firm, corporate legal team, or public sector legal environment.</li><li>A strong understanding of legal workflows, legal processes, and the practical realities of delivering legal services.</li><li>Proven confidence engaging with senior legal stakeholders, with the ability to establish trust and credibility quickly.</li><li>Clear, persuasive communication skills, with the ability to engage legal, operational, and executive audiences effectively.</li><li>A genuine interest in legal technology and the application of AI to enhance the quality and efficiency of legal work.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>We are seeking an experienced Business Analyst for SAP Authorization to design, implement, and govern access controls and BTP-related activities in our SAP S/4HANA landscape. This role is critical to ensuring secure, compliant, and efficient system usage within our corporate, manufacturing and supply chain environment. You will take end-to-end ownership of SAP security and support SAP BTP and Basis activities from understanding business processes and defining access requirements to hands-on role design, testing, deployment, and ongoing support.</li></ul> Responsibilities: <ul><li>The position requires a strong balance of technical expertise, governance, and stakeholder collaboration.</li><li>Design, build, test, and maintain SAP S/4HANA roles by translating business requirements into secure, scalable role structures</li><li>Manage user access lifecycle activities (provisioning, modification, de-provisioning) in compliance with internal controls and audit standards</li><li>Perform Segregation of Duties (SoD) analysis, risk identification cum analysis, remediation, manage user access requests, and emergency access management</li><li>Collaborate with business stakeholders, IT teams, and auditors to resolve access issues and address audit findings</li><li>Troubleshoot authorization issues and conduct root cause analysis across SAP modules</li><li>Maintain and continuously improve SAP security frameworks in production environments</li><li>Develop and maintain documentation, including role design standards, access matrices, and procedures</li><li>Provide Level 2 and Level 3 support for SAP security-related incidents and requests</li><li>Provide SAP Basis support including transport, patch and upgrade, coordination of system refresh activities</li><li>Support automation and workflow using SAP BTP.</li><li>Ensure ongoing system compliance, stability, and performance related to access controls</li></ul> Requirements:&nbsp; <ul><li>Bachelor’s degree in Information Technology, Business, or a related field (Master’s degree is a plus).</li><li>SAP Authorization or SAP GRC Certification is a strong advantage.</li><li>Minimum 5 years of SAP security/authorization experience, including at least one S/4HANA implementation or conversion.</li><li>Strong experience with PFCG role design and maintenance, user and role administration, authorization object analysis and troubleshooting, risk analysis, emergency access, access request management and SoD analysis and compliance controls</li><li>Good understanding of SAP SD, EWM/MM, FICO, AM, QM and PP, Concur, Ariba, IBP and the business processes to design effective security roles.</li><li>Experience supporting audit activities, internal controls, and compliance reviews.</li><li>Knowledge of integration environments (e.g., Salesforce &amp; MES) from an authorization impact perspective is an advantage.</li><li>Experience with S/4HANA environments, including Fiori app authorizations</li><li>Experience with using SAP BTP for building automation and workflow</li><li>Strong analytical and problem-solving skills, with attention to detail.</li><li>Excellent communication skills and ability to work with cross-functional teams.</li><li>Self-driven, disciplined, and able to work independently while meeting timelines.</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Core Network Operations: Manage and monitor the day-to-day operations of the core network elements, including MSC (Mobile Switching Center), GGSN/SGSN, EPC (Evolved Packet Core), and IMS (IP Multimedia Subsystem), to ensure high availability and quality of service.</li><li>Performance Optimization: Regularly assess and optimize network performance. Work with network engineers to analyze key performance indicators (KPIs) and implement improvements to enhance network reliability and efficiency.</li><li>Troubleshooting &amp; Incident Management: Lead the troubleshooting of core network issues, coordinating with technical teams to resolve incidents quickly and minimize service disruption.</li><li>Capacity Planning: Monitor and analyze traffic patterns to ensure that core network capacity meets current and projected demands.&nbsp;</li><li>Propose and implement capacity expansion plans as needed.</li><li>Vendor Coordination: Coordinate with external vendors for the maintenance, upgrades, and support of core network equipment.&nbsp;</li><li>Ensure that vendor service level agreements (SLAs) are met and that any issues are escalated and resolved efficiently.</li><li>Project Implementation: Support the implementation of network projects, including network upgrades, technology rollouts (e.g., 4G/5G), and new service introductions. Collaborate with project managers and other stakeholders to ensure successful project delivery.</li><li>Network Security &amp; Compliance: Ensure compliance with security protocols and regulatory standards, safeguarding the core network against cyber threats and maintaining data integrity.</li><li>Reporting &amp; Documentation: Maintain accurate documentation of core network architecture, configurations, and changes. Prepare regular reports on network performance, incidents, and capacity planning.</li><li>Continuous Improvement: Identify and recommend new technologies, tools, and practices to enhance core network operations and stay current with industry standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in Telecommunications, Electrical Engineering, Computer Science, or a related field.</li><li>Professional certifications such as CCNA, CCNP, or certifications specific to mobile core network technologies.</li><li>8+ years of experience in telecommunications, with a focus on core network management in a mobile operator setting.</li><li>Proven experience with troubleshooting and incident resolution within mobile core networks.</li><li>Experience with 5G core network components and technologies.</li><li>Project management experience or certifications (e.g., PMP, …).</li><li>In-depth knowledge of core network architecture and protocols, including GSM, UMTS, LTE, IMS, and EPC.</li><li>Strong understanding of core network protocols such as SIP, Diameter, GTP, and IP routing.</li><li>Familiarity with network monitoring and management tools.</li><li>Knowledge of network security and compliance regulations.</li><li>Good communication and teamwork skills, with the ability to work across multiple teams and coordinate with vendors.</li><li>Strong organizational and project management skills, with the ability to prioritize tasks effectively.</li><li>Strong analytical and problem-solving skills for rapid issue resolutions.</li><li>Attention to detail with a proactive approach to identifying and addressing network issues.</li><li>Ability to work well in a fast-paced, dynamic environment.</li><li>Strong sense of responsibility and commitment to service quality.</li></ul>

Responsibilities: <ul><li>The Finance Business Partner, Operations will be providing timely, relevant and accurate information and insightful analysis to facilitate decision-making of senior management.</li><li>Developing the capability to drive swift data extraction and visualization bringing visibility and transparency of key business metrics.</li><li>Focused on finding meaningful insights to support continued and sustainable profitable growth of the our client business.</li><li>Drive improvement in the conversion cost and site fixed overhead vs budget and historical periods.</li><li>Also, bringing actionable insights, identity focus areas and run simulations for site management to optimize the cost level, in line with forecasted business activity.</li><li>Need monthly tracking and action monitoring, working collaboratively with site teams across different functions, and create visibility with global manufacturing team on the improvement actions.</li><li>Drive digital transformation journey of finance function and be instrumental in increasing utilization of BI tools, especially Power BI.</li><li>To include developing the dashboards and power query models required to achieve efficiency in data extraction and visualization.</li><li>Understand diverse internal and external data source and its architecture.</li><li>Able to integrate various data source for seamless automation of business analysis resulting in optimization of core financial workflows, enhancing efficiencies.</li><li>Able to perform analysis using large complex dataset, enhance the reports to improve performance tracking against targets and trend identification.</li><li>Effective contribution in annual budgeting and monthly forecasting process, such as developing templates for end-to-end budget planning and forecasting process.</li><li>Build and foster strong cross-functional relationships across business constituencies and stakeholders specially group support functions like Supply Chain, Manufacturing Ops and Procurement. Help the company understand how the pieces fit together to drive performance and strengthen the team’s partnership and influencing skills in pursuit of growth.</li><li>Price, Mix and Volume Analysis for Margin Improvements</li><li>Proactive participation in various business improvement/ad hoc projects.</li><li>Manages the overall Financial Reporting and Analysis activities in the production and delivery of all standard reporting (including template and chart updates), ad hoc reporting, presentation materials; and non-pricing / profitability (costing) analysis for the business, in accordance with defined standards.</li></ul> Requirements: <ul><li>At least 8-10 years’ work experience in Finance with at least 6 years’ experience in FP&amp;A</li><li>Experience working in manufacturing environment is a must</li><li>Strong business acumen.</li><li>Strong financial, technical, and quantitative analytical skills</li><li>In-depth knowledge of accounting principles, practices and regulatory issues and their application to a wide variety of areas</li><li>Ability to take ownership of a task or process, and see it through from inception to completion</li></ul> Preferred Skills <ul><li>Proven track record of developing and implementing value-added financial analysis</li><li>Self-awareness and ability to handle tight deadlines and manage complex business challenges</li><li>Demonstrated experience in analyzing and synthesizing complex financial data into meaningful executive summary statements</li><li>Excellent verbal and written skills, analytical thinker / problem solver, interpersonal skills, attention to details</li><li>Advance Excel skill, MS office and data management, Power BI skill is added advantage</li></ul> Key Relationships with Internal and External Stakeholders <ul><li>Operational Leadership</li><li>Site Finance Controllers</li><li>Group Finance Team</li><li>Site GMs and Operation team</li></ul> Additional Notes <ul><li>Sound financial knowledge with Chartered Accountant background</li></ul>

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163 learning environment Jobs found

Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Sr. Mgr. Product Management, Data Connectivity Global Portfolio Lead Differential

Senior Talent Acquisition Specialist

Legal Workflow Automation Executive

Legal Workflow Specialist

Business Analyst Authorization, BTP & Basis

Forward Deployed AI Strategist

Core Operations Manager

Finance Business Partner

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Skills

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163 learning environment Jobs found

Consultant, Data Analytics & Reporting-Food

Hybrid Bonding Technology Development Engineer

Sr. Mgr. Product Management, Data Connectivity Global Portfolio Lead Differential

Senior Talent Acquisition Specialist

Legal Workflow Automation Executive

Legal Workflow Specialist

Business Analyst Authorization, BTP & Basis

Forward Deployed AI Strategist

Core Operations Manager

Finance Business Partner

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

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