Total 1,345 data entry job vacancies in Hong Kong

Job Summary

We are seeking an ambitious Marketing Executive to increase brand awareness and grow the customer base by promoting products and services at event sites in Singapore.

Responsibilities

• Execute event marketing campaigns by coordinating tasks and ensuring timely completion to meet campaign goals
• Engage with existing and potential customers to communicate product and service benefits clearly and effectively
• Collaborate with the Marketing team to develop and implement promotion strategies that drive customer interest and sales growth

Preferred competencies and qualifications

• Experience in Sales, Marketing, or related roles to support campaign execution and customer engagement
• Strong communication and presentation skills to effectively convey marketing messages
• Openness to learning and adapting to new marketing techniques and strategies

Candidates with no prior experience are welcome to apply

We are looking for Senior Consultant/ Associate Manager, Data Governance Expert from Banking Industry for a Permanent role with our Client.

Responsibilities:

• Act as the subject matter expert for data governance, collaborating closely with the Finance team in Singapore and engaging with stakeholders across Data Management, Risk Management, and IT.
• Lead execution of data governance initiatives by breaking down complex activities into actionable deliverables such as KDE identification, EUC inventory and criticality assessment, data aggregation process mapping, and implementation of data lineage systems.
• Apply prior experience and practical knowledge from past data governance projects to design effective solutions and drive successful outcomes.
• Develop and manage project plans with clear milestones, governance structures, and defined roles and responsibilities.
• Integrate Company’s project management methodology with the bank’s operational practices to ensure plans are both strategic and executable.
   

Requirements:

• Bachelor's degree in any related fields.
• Minimum 5 years of experience in data governance or data management roles within a financial institution, preferably banking.
• Proven ability to work in complex, multi-stakeholder environments involving business, IT, compliance, and vendors.
• Strong documentation skills using PowerPoint, Excel, and Word.
• Solid project management skills, including progress tracking, issue and risk management, and stakeholder coordination, experience preparing and delivering reports or presentations to senior management or executives and good stakeholder management and communication skills are a plus.
• Proficiency in business-level English across reading, writing, listening, and speaking will be beneficial for liaising with key stakeholders.
• Strong understanding of regulatory reporting, internal reporting, finance/accounting business processes, and related systems.
• Familiarity with data lineage concepts and tools (e.g. Collibra or similar platforms), understanding of finance and accounting business processes, regulatory reporting, and related systems are a plus.
• Prior collaboration with risk management and finance/accounting departments on external and internal reporting activities is highly beneficial.
• Ability to prepare and present clear, structured executive reporting.

The Chief Data & Analytics Office (CDAO) at JPMorganChase is pivotal in advancing the firm’s data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially valuable outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager – Associate within the APAC Chief Data & Analytics Office, you will support the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will help translate APAC business, regulatory, and user needs into clear requirements, well-structured backlog inputs, and measurable adoption outcomes. You will partner with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to help ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Support APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Build and maintain understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Help triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and draft clear problem statements and success criteria

• Gather and document APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture), with guidance from senior partners

• Contribute to defining non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Maintain the APAC technical product backlog (e.g., writing/refining epics and stories); ensure requirements are clear and ready for engineering feasibility assessment, sequencing, and dependency mapping

• Support prioritization discussions by preparing inputs on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility for APAC CAO/CPO and intake forums

• Provide structured APAC inputs into global/regional platform roadmaps, helping balance regional needs with global strategy to avoid unnecessary fragmentation

• Track adoption/usage and delivery outcomes; help convert learnings into backlog improvements and product documentation updates

• Communicate status, priorities, and trade-offs to stakeholders; support the creation of product briefs and decision materials for governance and leadership forums

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 5+ years of experience in product management, technical program delivery, platform/product operations, data/AI platforms, enterprise technology products, or related roles

• Working understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Ability to translate business problems, regulatory requirements, and technical constraints into well-structured requirements, user journeys, and acceptance criteria (with support where needed)

• Technical fluency across data flows, APIs, platform concepts, integration patterns, and technical documentation; comfort discussing non-functional requirements with engineering partners

• Experience partnering with engineering teams to clarify requirements and support delivery, while maintaining focus on the “what/why/for whom”

• Sound judgment and ability to weigh trade-offs across value, urgency, feasibility, risk, and platform strategy with guidance from senior product leaders

• Experience in financial services or another regulated environment (preferred but not required if you demonstrate strong risk/control mindset)

• Strong stakeholder management and collaboration skills across product, engineering, risk, controls, and governance partners

• Strong written and verbal communication skills, including drafting product briefs, requirement documents, and prioritization recommendations

• Ability to work through ambiguity, structure problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Exposure to enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Experience supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification (a plus)

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=b2ef3b8bb386dac0b39f5d84a74d450e

Location: Pasir Panjang

Working Hours:
Mon - Thu: 8.30am to 5.00pm
Fri: 8.30am to 4.00pm

Salary: Up to $5,500/month

Job Responsibilities:

• Perform monthly cost analysis and budget variance reviews, identifying trends, discrepancies and cost overruns.
• Prepare reports and summaries to support management decision-making and operational planning.
• Assist in forecasting, budgeting and cost monitoring activities.
• Coordinate with Finance to ensure timely and accurate invoice processing and cost allocation.
• Investigate and resolve discrepancies between operational records and financial postings.
• Support payroll administration, including verification of payment requests, claims and payroll-related records.
• Maintain accurate documentation and records for audit and reporting purposes.
• Liaise with internal stakeholders and external service providers to obtain and verify required information.
• Support process improvement initiatives and workflow optimisation projects.
• Perform other duties as assigned.

Requirements:

• Minimum Diploma or Degree in any discipline.
• Experience in data analysis, reporting, budgeting, cost control or financial analysis.
• Strong analytical and numerical skills with high attention to detail.
• Proficient in Microsoft Excel and data analysis tools.
• Ability to interpret data, identify trends and explain variances clearly.
• Prior experience in payroll, finance, operations or cost analysis will be advantageous.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

The Data Center Operations Engineer is responsible for the daily operation, maintenance, and optimization of data center infrastructure, including electrical, HVAC, and ELV systems. This role ensures facility reliability, safety, and efficiency through proactive monitoring, risk management, and continuous improvement.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

Perform daily operation, maintenance, and routine inspectionsprovement. The position requires hands-on technical ability, strong analytical skills, and strict adherence to operational and emergency procedures.

of data center electrical, HVAC, and ELV systems, ensuring stable and continuous operation.

Execute scheduled preventive maintenance (PM) plans and handle system faults promptly and accurately.

Conduct facility safety, risk, capacity, and availability management, continuously optimizing systems to improve operational efficiency and cost-effectiveness.

Maintain infrastructure data accuracy (100%), regularly check alarm configurations, and ensure monitoring platform stability and reliability.

Conduct facility inspections per company requirements, including equipment status checks, MOP (Method of Procedure) review, and maintenance tracking.

Respond rapidly to incidents and emergencies following EOP (Emergency Operation Procedures) and incident management standards; provide on-site support and reporting.

Analyze root causes of incidents, conduct post-event reviews, and summarize lessons learned for continuous improvement.

Familiarize with the power distribution, cooling, and ELV architecture within assigned data centers; quickly locate and resolve faults when issues occur.

Prepare and implement change MOPs independently, ensuring no incidents result from planned changes.

Participate in optimization and upgrade projects, ensuring smooth on-site execution and coordination.

Propose technical improvements or modification plans for infrastructure monitoring, capacity, safety, and availability.

Provide technical guidance, mentorship, and training for frontline operation staff.

Ensure quick response and arrival per incident management policy.

Strictly comply with all operational procedures, safety policies, and company regulations.

Complete other assignments as defined in the Service Contract, Outsourcing Specification, or as required by the company or project team.
Qualifications

Education: Full-time college diploma or above (Associate Degree or higher).

Major: Electrical Engineering, HVAC, or other related disciplines.

Experience: Minimum 3 years of relevant experience in data center facility operation and maintenance.

Strong understanding of data center infrastructure systems, including electrical distribution, cooling, ELV, and monitoring systems.

Familiar with mainstream facility brands and models, capable of identifying differences and proposing optimization suggestions.

Demonstrated ability to conduct root cause analysis and implement effective preventive actions.

Capable of independent MOP preparation and execution with zero error rate.

At Alcon, we are driven by the meaningful work we do to help people see brilliantly. We innovate boldly, champion progress, and act with speed as the global leader in eye care. Here, you’ll be recognized for your commitment and contributions and see your career like never before. Together, we go above and beyond to make an impact in the lives of our patients and customers. We foster an inclusive culture and are looking for diverse, talented people to join Alcon.

As a Data Scientist under Manufacturing Science & Technology (MS&T) Department, you will be primarily responsible for driving automation initiatives within the Manufacturing Science & Technology team by managing system changes, enhancements, and validations while ensuring compliance with project documentation and SOPs. Supports SMART manufacturing projects through data analysis, reporting tool administration, and system support to enable efficient, data-driven operations.

In this role, a typical day will include:

• Manage system change and related enhancement/bug fix, review project documentation and related SOPs and perform system validation
• Analyzes data to generate insights and predictions
• Maintain, support and administrate reporting tool and related applications.
• Lead and support SMART Manufacturing/Automation initiatives related projects. Develop/review project documentations and related SOPs.
• Perform system/software validation

WHAT YOU’LL BRING TO ALCON:

• Bachelor degree of related fields (computer science or equivalent)
• Proficient in any programming language is required for this role
• Minimum 3 - 5 years relevant working experience in IT software development lifecycle, system implementation and system maintenance and supports.
• Hands on knowledge on automation engineering, PLC/SCADA/MES systems, Microsoft SQL/Oracle/Access database/Python/R/Microsoft Visual Basic/C#/ASP.net programming and IT (Infrastructure and Network).
• Knowledge on 21 CFR Part 11 (computerized system validation) is preferred but not a MUST
• Training will be provided for those without experience

HOW YOU CAN THRIVE AT ALCON:

• Good team player
• Enjoy working with various cross functional team across manufacturing site

Alcon Careers

See your impact at alcon.com/careers

Act as the key local expert and lead user for planning-relevant master data, ensuring high consistency, quality and reliability of data used in Blue Yonder to support holistic planning of the semiconductor production network.

Serve as a critical interface between business, specialty departments, IT, and external IT service providers, driving further development, stabilization and continuous improvement of master data and planning IT solutions.

Utilize cost advantages of LCL.

• Drive end‑to‑end planning master-data quality and governance, ensuring reliable, usable data across business functions
• Act as technical lead for analytics and data solutions (Power BI, SQL Oracle/MSSQL, KNIME, databases, web/UI tools)
• Responsible for maintenance and enhancement of master data applications and UIs (e.g. Tivity) aligned with business needs
• Drive dashboards and advanced analytics to enable planning excellence, transparency, and self‑service insights
• Lead root cause analysis of complex data issues, implementing sustainable, preventive solutions
• Define, monitor and improve data governance frameworks, validation rules, workflows, KPIs and operating models
• Identify data quality trends and drive automation, structural improvements and scalability
• Ensure data solutions effectively support planning processes (demand planning, logistics interfaces, master data flows)
• Manage global and local stakeholder expectations, priorities and dependencies with clear, business‑oriented communication
• Motivate and develop the team by setting technical standards, best practices and ways of working
• Foster a culture of ownership, continuous improvement, analytical thinking and knowledge sharing
• Lead and contribute to PJM1‑SO projects, driving innovation, efficiency and advanced analytics adoption

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive convergence of processes and tools 

• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices 
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction 
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is pivotal in advancing the firm's data and analytics capabilities, ensuring strong adherence to data & AI risk & control while enabling the data & analytics strategy for superior decision-making and business outcomes to serve our clients and markets. By leveraging data & AI/ML, the CDAO develops innovative solutions to support commercial goals, enhance productivity, and manage risks. The Asia Pacific Chief Data & Analytics Office (CDAO) advances the firm’s data and analytics strategy, platforms, solutions, capabilities, and governance to deliver trustworthy, responsible, innovative, and commercially value outcomes across the APAC markets and businesses.

As a Data & AI Platform Product Manager - Vice President within the APAC Chief Analytics and Data Office, you will own the APAC technical product agenda for the firm’s Data & AI platform capabilities. You will translate APAC business, regulatory, and user needs into clear product requirements, prioritized backlog/roadmap inputs, and measurable adoption outcomes. You will partner closely with APAC and global stakeholders across Product, Engineering, Customer Success, Product Enablement, Business Adoption, Risk, Controls, Data/AI Governance, and Lines of Business to ensure platform capabilities are fit-for-purpose, production-ready, and scalable across APAC markets.

Job responsibilities

• Lead APAC technical product discovery with business sponsors, end users, client technology teams, Customer Success, and Business Adoption to identify high-impact Data & AI platform opportunities

• Develop a strong understanding of APAC workflows, user pain points, data flows, technical constraints, regulatory expectations, and adoption barriers across markets and Lines of Business

• Triage incoming demand to determine the right path (self-serve, product expertise, solution design, new feature development, or APAC-specific capability) and define clear problem statements and success criteria

• Define APAC-specific platform requirements across functional, data, integration, access/entitlements, controls, and user experience needs, including user journeys and acceptance criteria

• Translate data governance, AI governance, risk and control expectations into platform capability requirements (e.g., approvals, guardrails, lineage, auditability, evidence capture)

• Define non-functional requirements where needed (scalability, resilience, performance, security, access control, operational readiness)

• Own and maintain the APAC technical product backlog; ensure requirements are engineering-ready for feasibility assessment, sequencing, dependencies, and delivery planning

• Partner with APAC CAO/CPO and intake forums to prioritize work based on business value, regulatory relevance, risk/control requirements, user impact, and technical feasibility

• Provide structured APAC inputs into global/regional platform roadmaps, balancing regional needs with global strategy to avoid unnecessary fragmentation

• Define measurable outcomes and track success (adoption, usage, value realization, control adherence, production readiness, customer satisfaction), converting learnings into backlog improvements

• Communicate priorities, trade-offs, and roadmap implications to senior stakeholders; produce executive-ready product briefs and decision materials

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Business, Mathematics, Artificial Intelligence, or related field

• 8+ years of experience in technical/platform product management, data/AI platforms, enterprise technology products, or related roles

• Strong understanding of data and AI platform capabilities (data management, analytics enablement, AI/ML enablement, governance, lineage, data quality, access controls/entitlements, adoption)

• Demonstrated ability to translate business problems, regulatory requirements, and technical constraints into product requirements, user journeys, acceptance criteria, and roadmap priorities

• Strong technical fluency (data flows, APIs, platform architecture, cloud-based platforms, integration patterns, technical documentation, non-functional requirements)

• Experience partnering with engineering teams to shape platform capabilities while maintaining clear product ownership of the “what/why/for whom”

• Strong product judgment with ability to make trade-offs across value, urgency, feasibility, risk, and platform strategy

• Experience operating in financial services or another regulated environment

• Strong stakeholder management and influencing skills across senior business, product, engineering, risk, and governance partners

• Strong written and verbal communication skills, including creating product briefs, prioritization recommendations, and executive decision materials

• Ability to manage ambiguity, structure complex problems, and drive alignment across regional and global stakeholders

Preferred qualifications, capabilities, and skills

• Experience with enterprise data platforms, AI/ML platforms, cloud analytics platforms, data marketplaces, internal developer platforms, or internal user platforms

• Experience in a CDAO/data office, analytics/AI function, platform product organization, or enterprise transformation program

• Track record supporting platform adoption across multiple countries, Lines of Business, or regulated jurisdictions

• Familiarity with data governance, data quality, lineage/metadata, access management, and AI/model governance expectations

• Experience defining product requirements for APIs, data products, workflow tools, self-service platforms, analytics capabilities, or AI/ML enablement platforms

• MBA, Master’s degree, or advanced technical/product qualification

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=ffdea93a6c82f31cf13d8d19de51eaf1

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase supports the firm’s data and analytics capabilities, enabling risk management, business strategy, and operational excellence. The Asia Pacific CDAO advances data and analytics strategy, platforms, and governance to deliver responsible outcomes across APAC markets.

As an Associate in APAC Data Privacy within the Firmwide Privacy Office, you will help implement and maintain the firm’s privacy program across the Asia Pacific region. This role offers the opportunity to work in a dynamic, regulated financial environment, collaborating with cross-functional teams to support compliance, operational effectiveness, and a strong culture of data protection.

Key Responsibilities

• Assist with projects to enhance the firm’s privacy program from an APAC perspective.

• Support the implementation of privacy initiatives, adapting global programs for the APAC region.

• Help review privacy requirements for new business initiatives, including privacy notices and regulatory compliance.

• Contribute to mapping regulatory requirements for Data Protection Officers (DPOs) across APAC.

• Support data incident risk assessments and breach notification processes.

• Help draft and maintain governance documentation, such as policies and procedures.

• Assist in developing and implementing Firmwide Privacy Office (FPO) standards and procedures for APAC.

• Support the development of privacy controls and training programs.

• Participate in training sessions and regional strategy planning.

Required Qualifications, Capabilities, and Skills

• Bachelor’s degree in Law, Economics, Business or related field

• 3+ years of experience in privacy program design and implementation, preferably within the financial services or regulated sector.

• Familiarity with APAC privacy laws and global frameworks such as GDPR and CCPA.

• Experience supporting privacy assessments, risk reviews, or incident response.

• Ability to work collaboratively across teams and regions.

Preferred Qualifications, Capabilities, and Skills

• Legal or compliance background is a plus.

• Familiarity with privacy certifications (e.g., CIPP-A, CIPP-E) is advantageous.

• Understanding of AdTech, online tracking, or emerging privacy technologies is helpful.

• Design and operationalize technology controls for privacy and data risk.

• Translate privacy/business requirements into implementable technology controls across big data and AWS environments; oversee/challenge 1LOD Data, Privacy & AI controls, define/execute data risk testing, and continuously monitor control effectiveness, gaps, KRIs/MI, and remediation.

• Drive data quality and governance controls using SQL, DataBricks, and metadata/catalog tooling (e.g., Informatica/Collibra, RDHP, Jade); analyze complex datasets, report DQ findings/trends and emerging risks.

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=1fff9d63b8f379c96ce36f2e7a96fa5a

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

In This Role You Will Have The Following Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.

• Experience in the areas: computer vision, statistical modeling, deep learning, generative AI, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.

• Design and deploy computer vision models for object detection, image segmentation and anomaly detection.

• Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems.

• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.

• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.

• Strong verbal and written communication skills.

Required Qualifications and Technical Experience

• Mater/PHD Degree in Operation Research, Industry Engineering, Statistics with a strong academic foundation in linear programming and optimization

• Minimum 3 years of experience in operation research/optimization, preferably has working experience in the semiconductor industry and have applied optimization techniques in their daily work

• Strong foundation in Linear programming optimization modeling, advanced analytics, and  machine learning techniques.

• Ability to extract data from multiple databases using SQL and other query languages, including experience with data cleansing, outlier detection, and handling missing data.

• Strong proficiency in Python and linear programming, SQL, C#

• Proficiency in data visualization tools such as Tableau, Power BI, and related techniques.

• Proficiency in web development technologies, including Angular, FastAPI, and Docker.

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

We're building an AI-powered research platform for institutional investors. Our platform turns vast amounts of market, alternative, and proprietary data into actionable intelligence — powered by AI agents that depend on clean, reliable, real-time data to do their job.

We need someone to own data. Not manage a team that does data. Own it — from finding the right sources, to getting them flowing, to making sure they stay healthy at scale.

Today we ingest from hundreds of sources. That number is growing fast. The sources are diverse: real-time market feeds, regulatory filings, news, social sentiment, alternative datasets, and proprietary client data. Some are free APIs. Some are $10K/month enterprise contracts. Some are clients pushing their own data into our platform. Every one of them is different, and most of them will break in ways you don't expect.

You'll evaluate vendors, negotiate deals, build integrations, monitor quality, track costs, and make the call on what's worth paying for. When something breaks at 2 AM, you'll know why before the alert finishes firing.

This is an end-to-end ownership role. No handoffs.

Responsibilities

• Build and maintain integrations with a large and growing number of external data sources — APIs, WebSockets, file drops, streams, scrapers, and formats you haven't seen yet
• Evaluate and compare data vendors across quality, reliability, coverage, cost, and terms of service
• Negotiate contracts and manage commercial relationships with data providers
• Design and operate high-throughput ingestion pipelines handling mixed workloads (real-time, near-real-time, batch, event-driven)
• Build monitoring that tells you — before anyone else — when data is late, wrong, incomplete, or drifting
• Manage data quality at scale: anomaly detection, cross-source validation, schema drift detection, gap filling
• Handle both structured data (time-series, tabular) and unstructured data (documents, text, images) with appropriate extraction and storage
• Track costs per source, usage per consumer, and ROI — recommend what to keep, upgrade, or cancel
• Build tooling that makes adding the next data source faster than the last one
• Use AI tools aggressively in your daily work — for code generation, testing, documentation, anomaly analysis, and anything else that makes you faster

Requirements

You've done this before:

• 5+ years building data pipelines that run in production, 24/7, with real SLAs
• Deep hands-on experience with SQL databases and time-series data
• Python as your primary language, comfortable with async programming
• You've integrated with dozens of external APIs and dealt with the reality of unreliable vendors, changing schemas, rate limits, and bad documentation
• You've built monitoring and alerting for data systems — not as an afterthought but as part of how you work

You think about the whole picture:

• You don't just connect to an API. You think about what happens when it goes down, when the schema changes, when the data is wrong, when the bill doubles
• You understand that data has a cost and a value, and not every source is worth keeping
• You've worked with data vendors commercially — contracts, pricing tiers, usage negotiations

You use AI daily:

• AI coding tools are part of your workflow today, not something you're curious about
• You can articulate specifically how AI makes you faster and where it doesn't help
• You'd be frustrated if you couldn't use AI in your work

Nice to have

• Experience with financial market data
• Experience with streaming systems (Kafka or similar) at scale
• Vector database or embedding pipeline experience
• Experience with unstructured data extraction (PDFs, documents, NLP)

Perks & Benefits

• Senior individual contributor role with full ownership of the data domain
• Direct access to leadership — no bureaucracy, fast decisions
• AI tools provided and encouraged across all work
• Remote-friendly, async-first
• Compensation commensurate with experience