56 Customer Data jobs in Hong Kong

Join to apply for the Assistant Manager / Officer, Customer Data Maintenance (12-month contract) role at OCBC

18 hours ago Be among the first 25 applicants

Join to apply for the Assistant Manager / Officer, Customer Data Maintenance (12-month contract) role at OCBC

Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Who We Are
As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Job Summary

• Process New Account Opening for individuals / companies in accordance with guidelines on regulatory, such as AML, KYC, CDD and ECDD
• Perform daily customer/account maintenance , account clean up exercises, project review, such as high risk customer review, account reactivate and customer information update
• Ensure branch operating procedures are properly complied
• Assist Section Head to review and give suggestion for improvement / reengineering of current work flow and report any irregularities timely
• Assist unusual or difficult customer problems or refers to the proper department if necessary
• Handle authenticates/countersigns documents or correspondence for other oversea branches
• Provide coaching, support to subordinates
• Build up and maintain good customer relationship with internal and external customer for business growth
• Handle of incoming calls and email inquiries from internal and external parties.
• Prepare monthly, half- yearly and yearly return and statistics
• Perform other duties assigned by supervisors from time to time
  

• Diploma or above
• Minimum 5 years’ relevant experience in Banking industry
• Familiar with the processing of corporate account ening
• Good interpersonal and communication skills
• Outgoing, independent and self-motivated
• Candidate with less experience will consider as Bank Officer
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other, Information Technology, and Management
• Industries Banking

Referrals increase your chances of interviewing at OCBC by 2x

Get notified about new Maintenance Officer jobs in Hong Kong SAR .

Hong Kong SAR HK$17,000.00-HK$7,500.00 1 day ago

Sha Tin District, Hong Kong SAR 6 days ago

Hong Kong SAR HK 18,000.00-HK 21,000.00 6 days ago

Hong Kong SAR HK 12,000.00-HK 13,999.00 1 month ago

Kwai Tsing District, Hong Kong SAR 1 week ago

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Join to apply for the Customer Operations Data Analyst role at Prenetics

Join to apply for the Customer Operations Data Analyst role at Prenetics

Get AI-powered advice on this job and more exclusive features.

Prenetics (NASDAQ:PRE), a leading health sciences company, is dedicated to advancing consumer health. Our consumer initiative is led by IM8, a fast-growing health and wellness brand; Europa, one of the largest sports distribution companies in the USA; and CircleDNA, a leading direct-to-consumer DNA test. As the first healthcare company to establish a Bitcoin treasury with its initial $20 million Bitcoin purchase and board-approved comprehensive Bitcoin strategy, Prenetics is pioneering the intersection of healthcare innovation and digital asset adoption. The company will soon accept cryptocurrency payments across both IM8 Health and CircleDNA platforms, creating a complete Bitcoin ecosystem from treasury to operations. This includes exploring how blockchain technology can further enhance our genomics solutions, such as CircleDNA, by ensuring data integrity, privacy, and secure access to personalized health insights, while establishing new paradigms for corporate treasury management. Each of Prenetics' units synergistically enhances our global impact on health, embodying our commitment to "enhancing life through science". To learn more please visit prenetics.com and IM8health.com.

The role

Be the analytics backbone for Customer Operations across our Shopify commerce stack. From inventory coverage and fulfillment to subscription health and shipping SLAs, you’ll turn multi-source data into crisp, actionable insights and simple dashboards the team can use daily. You’ll also leverage AI tools and automation to speed up analysis, reduce manual work, and power always-on alerts.

What You’ll Do

Order fulfillment & inventory analytics

• Build live views and weekly reports on order status, backorders, and exceptions.
• Forecast demand and inventory coverage (days on hand, safety stock, reorder points), including product transitions (e.g., capsules → powder).
• Model run-out dates and purchase timing; flag risks early and recommend reorder actions.
  
  

• Own core metrics: active/cancelled subs, cohort retention, acquisition rate, churn, M2/M3 conversion, reactivation.
• Analyze cancellation survey data to pinpoint drivers; partner with CS/Growth on fixes and experiments.
• Handle ad-hoc eligibility counts (e.g., Month-2/Month-3 gift qualification) and campaign backtests.
  
  

• Dive into AfterShip to monitor first-scan time, in-transit time, delivery time, on-time %, and exception codes by lane/carrier.
• Identify bottlenecks (carrier, lane, warehouse handoff) and surface clear remediation plans.
  
  

• Use AI copilots (for example, ChatGPT/Claude/Gemini) to draft SQL/Sheet formulas, document pipelines, summarize survey text, and generate weekly highlights.
• Build lightweight automations (Zapier/Make, Apps Script/VBA, Slack bots) for: SLA breach alerts, low-stock warnings, churn spikes, and exception triage.
• Create LLM-powered parsers to normalize reason codes (cancellations, exceptions) and classify free-text at scale.
• Implement QA assistants for reconciliation checks across Shopify, D365, subscription apps, and finance (e.g., variance explanations, anomaly detection).
• Maintain prompt libraries and guardrails; track accuracy and drift over time.
  
  

• Triage urgent data issues; run quick anomaly deep-dives (e.g., sudden carrier delays, payment failures, SKU swaps).
• Spin up one-off cohort/impact analyses for campaigns, promos, bundles, and pricing tests.
• Prototype throwaway dashboards for new initiatives; harden the winners into repeatable views.
• Stand up temporary scripts/notebooks to reconcile edge cases (preorders, partials, split shipments).
• Field leadership questions with clear, time-boxed analyses and recommended actions.
  
  

• Reconcile data between Shopify, Microsoft Dynamics 365 (D365), subscription apps, and finance.
• Build/maintain robust Excel & Google Sheets models with documentation and QA checks.
• Create lightweight SOPs and self-serve dashboards for CS/Ops.
  
  

• Translate insights into simple narratives and action lists for Customer Ops, Growth, and Leadership.
• Present weekly “what changed / why / what’s next” highlights.
  
  

• Excel: dynamic arrays, Power Query, Power Pivot, XLOOKUP/INDEX-MATCH, SUMIFS/COUNTIFS, FILTER, REGEX*, pivots/charts, scenario modeling; VBA/macros a plus.
• Google Sheets: ARRAYFORMULA, QUERY, FILTER, REGEX*, IMPORTRANGE; Apps Script a plus.
  
  

• Comfortable using AI copilots for analysis, documentation, and QC; able to design effective prompts and evaluation checks.
• Experience wiring automations with Zapier/Make, Slack/Teams bots, Apps Script/VBA; bonus for API/LLM integration.
• Commerce stack familiarity: Hands-on with Shopify (and ecosystem apps) and D365 data/objects; confident with ERP reconciliation.
• Comfort using AfterShip (or similar) to extract and analyze delivery/transit metrics.
• Strong business judgment: turn signals into clear operational recommendations.
• Meticulous about data accuracy, reconciliation, and reproducibility; crisp documentation.
  
  

• Experience with subscription platforms (e.g., Recharge, Skio) and CS tools (e.g., Gorgias/Zendesk).
• BI/SQL/Python for deeper analysis (cohorts, LTV, forecast diagnostics).
• Familiarity with inventory planning (lead time, EOQ, service levels).
• LLM frameworks (e.g., LangChain) or basic API scripting for custom classifiers/parsers.
  
  

• On-time delivery %, median transit time, exception rate
• Inventory days-on-hand and stockout risk
• Subscription churn/retention (overall & cohort), M2→M3 conversion
• Data quality SLAs (reconciliation accuracy, refresh timeliness)
  
  

• Seniority level Entry level

• Employment type Temporary

• Job function Information Technology

Referrals increase your chances of interviewing at Prenetics by 2x

Get notified about new Data Analyst jobs in Hong Kong, Hong Kong SAR .

Central, Hong Kong SAR SGD800.00-SGD1,200.00 1 month ago

Wan Chai District, Hong Kong SAR 3 months ago

Wan Chai District, Hong Kong SAR 3 weeks ago

Central & Western District, Hong Kong SAR 1 day ago

Central & Western District, Hong Kong SAR 8 hours ago

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Join to apply for the Customer Operations Data Analyst role at Prenetics

Join to apply for the Customer Operations Data Analyst role at Prenetics

Get AI-powered advice on this job and more exclusive features.

Prenetics (NASDAQ:PRE), a leading health sciences company, is dedicated to advancing consumer health. Our consumer initiative is led by IM8, a fast-growing health and wellness brand; Europa, one of the largest sports distribution companies in the USA; and CircleDNA, a leading direct-to-consumer DNA test. As the first healthcare company to establish a Bitcoin treasury with its initial $20 million Bitcoin purchase and board-approved comprehensive Bitcoin strategy, Prenetics is pioneering the intersection of healthcare innovation and digital asset adoption. The company will soon accept cryptocurrency payments across both IM8 Health and CircleDNA platforms, creating a complete Bitcoin ecosystem from treasury to operations. This includes exploring how blockchain technology can further enhance our genomics solutions, such as CircleDNA, by ensuring data integrity, privacy, and secure access to personalized health insights, while establishing new paradigms for corporate treasury management. Each of Prenetics' units synergistically enhances our global impact on health, embodying our commitment to "enhancing life through science". To learn more please visit prenetics.com and IM8health.com.
The role
Be the analytics backbone for Customer Operations across our Shopify commerce stack. From inventory coverage and fulfillment to subscription health and shipping SLAs, you’ll turn multi-source data into crisp, actionable insights and simple dashboards the team can use daily. You’ll also leverage AI tools and automation to speed up analysis, reduce manual work, and power always-on alerts.
What You’ll Do
Order fulfillment & inventory analytics

• Build live views and weekly reports on order status, backorders, and exceptions.
• Forecast demand and inventory coverage (days on hand, safety stock, reorder points), including product transitions (e.g., capsules → powder).
• Model run-out dates and purchase timing; flag risks early and recommend reorder actions.
  

• Own core metrics: active/cancelled subs, cohort retention, acquisition rate, churn, M2/M3 conversion, reactivation.
• Analyze cancellation survey data to pinpoint drivers; partner with CS/Growth on fixes and experiments.
• Handle ad-hoc eligibility counts (e.g., Month-2/Month-3 gift qualification) and campaign backtests.
  

• Dive into AfterShip to monitor first-scan time, in-transit time, delivery time, on-time %, and exception codes by lane/carrier.
• Identify bottlenecks (carrier, lane, warehouse handoff) and surface clear remediation plans.
  

• Use AI copilots (for example, ChatGPT/Claude/Gemini) to draft SQL/Sheet formulas, document pipelines, summarize survey text, and generate weekly highlights.
• Build lightweight automations (Zapier/Make, Apps Script/VBA, Slack bots) for: SLA breach alerts, low-stock warnings, churn spikes, and exception triage.
• Create LLM-powered parsers to normalize reason codes (cancellations, exceptions) and classify free-text at scale.
• Implement QA assistants for reconciliation checks across Shopify, D365, subscription apps, and finance (e.g., variance explanations, anomaly detection).
• Maintain prompt libraries and guardrails; track accuracy and drift over time.
  

• Triage urgent data issues; run quick anomaly deep-dives (e.g., sudden carrier delays, payment failures, SKU swaps).
• Spin up one-off cohort/impact analyses for campaigns, promos, bundles, and pricing tests.
• Prototype throwaway dashboards for new initiatives; harden the winners into repeatable views.
• Stand up temporary scripts/notebooks to reconcile edge cases (preorders, partials, split shipments).
• Field leadership questions with clear, time-boxed analyses and recommended actions.
  

• Reconcile data between Shopify, Microsoft Dynamics 365 (D365), subscription apps, and finance.
• Build/maintain robust Excel & Google Sheets models with documentation and QA checks.
• Create lightweight SOPs and self-serve dashboards for CS/Ops.
  

• Translate insights into simple narratives and action lists for Customer Ops, Growth, and Leadership.
• Present weekly “what changed / why / what’s next” highlights.
  

• Excel: dynamic arrays, Power Query, Power Pivot, XLOOKUP/INDEX-MATCH, SUMIFS/COUNTIFS, FILTER, REGEX*, pivots/charts, scenario modeling; VBA/macros a plus.
• Google Sheets: ARRAYFORMULA, QUERY, FILTER, REGEX*, IMPORTRANGE; Apps Script a plus.
  

• Comfortable using AI copilots for analysis, documentation, and QC; able to design effective prompts and evaluation checks.
• Experience wiring automations with Zapier/Make, Slack/Teams bots, Apps Script/VBA; bonus for API/LLM integration.
• Commerce stack familiarity: Hands-on with Shopify (and ecosystem apps) and D365 data/objects; confident with ERP reconciliation.
• Comfort using AfterShip (or similar) to extract and analyze delivery/transit metrics.
• Strong business judgment: turn signals into clear operational recommendations.
• Meticulous about data accuracy, reconciliation, and reproducibility; crisp documentation.
  

• Experience with subscription platforms (e.g., Recharge, Skio) and CS tools (e.g., Gorgias/Zendesk).
• BI/SQL/Python for deeper analysis (cohorts, LTV, forecast diagnostics).
• Familiarity with inventory planning (lead time, EOQ, service levels).
• LLM frameworks (e.g., LangChain) or basic API scripting for custom classifiers/parsers.
  

• On-time delivery %, median transit time, exception rate
• Inventory days-on-hand and stockout risk
• Subscription churn/retention (overall & cohort), M2→M3 conversion
• Data quality SLAs (reconciliation accuracy, refresh timeliness)
  

• Seniority level Entry level

• Employment type Temporary

• Job function Information Technology

Referrals increase your chances of interviewing at Prenetics by 2x

Get notified about new Data Analyst jobs in Hong Kong, Hong Kong SAR .

Central, Hong Kong SAR SGD800.00-SGD1,200.00 1 month ago

Wan Chai District, Hong Kong SAR 3 months ago

Wan Chai District, Hong Kong SAR 3 weeks ago

Central & Western District, Hong Kong SAR 1 day ago

Central & Western District, Hong Kong SAR 8 hours ago

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Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

2 days ago Be among the first 25 applicants

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

Direct message the job poster from Bank of China (Hong Kong)

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  
  

• Degree holder with major in quantitative, numerical science, computer science or related disciplines
• At least 5 years relevant working experience, preferably in financial services industry with proven track record and exposure in customer analysis, database marketing, report tracking and automation
• Proven competence in data processing of huge volume of data by SAS and use of different office tools, such as Excel and PowerPoint
• A mature self-starter with strong drive, solid analytic mind, remarkable problem-solving skills and good soft skills, including interpersonal, negotiation and project management
• Open-minded and receptive to different new ideas
• Excellent communication and presentation skills with good command of English and Chinese in both spoken and written. Fluent in Putonghua is an advantage
  
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Information Technology
• Industries Banking, Capital Markets, and Financial Services

Referrals increase your chances of interviewing at Bank of China (Hong Kong) by 2x

Get notified about new Data Science Manager jobs in Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 3 months ago

Kwun Tong District, Hong Kong SAR 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

2 days ago Be among the first 25 applicants

Join to apply for the Customer Analytics & Data Science Manager role at Bank of China (Hong Kong)

Direct message the job poster from Bank of China (Hong Kong)

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  

• Collaborate with business teams to identify business insight from data, covering the entire customer engagement journey, including acquisition, on-boarding, usage growth and retention/anti-attrition for the entire spectrum of personal banking products/services
• Proactively engage business teams to understand their business problems
• Formulate an innovative analytic framework to effectively study the data with customer centric perspective
• Explore the data, identify the business insight and consolidate the findings into an easy to understand structure
• Present the findings to senior management and business
• Develop and manage different portfolio management reports to effectively monitor the business
  

• Degree holder with major in quantitative, numerical science, computer science or related disciplines
• At least 5 years relevant working experience, preferably in financial services industry with proven track record and exposure in customer analysis, database marketing, report tracking and automation
• Proven competence in data processing of huge volume of data by SAS and use of different office tools, such as Excel and PowerPoint
• A mature self-starter with strong drive, solid analytic mind, remarkable problem-solving skills and good soft skills, including interpersonal, negotiation and project management
• Open-minded and receptive to different new ideas
• Excellent communication and presentation skills with good command of English and Chinese in both spoken and written. Fluent in Putonghua is an advantage
  

• Seniority level Not Applicable

• Employment type Full-time

• Job function Business Development and Information Technology
• Industries Banking, Capital Markets, and Financial Services

Referrals increase your chances of interviewing at Bank of China (Hong Kong) by 2x

Get notified about new Data Science Manager jobs in Hong Kong SAR .

Kwun Tong District, Hong Kong SAR 3 months ago

Kwun Tong District, Hong Kong SAR 2 months ago

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Join to apply for the (Senior) Customer Analytics & Data Science Manager (Modeling) role at Bank of China (Hong Kong)

Get AI-powered advice on this job and more exclusive features.

• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Stay highly sensitive to the latest AI trends

• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Remain highly sensitive to the latest AI trends

• Degree or above with major in Computer Science, Data Science, Information Systems, or related discipline
• 3+ years' experience in analytics, modeling, and machine learning/AI/Generative AI, with at least 1 year at managerial level
• Experience in Banking, Financial Services, or FinTech industry preferred
• Knowledge in embedding techniques, RAG, promptings, and LLM fine-tuning; involvement in search engine or recommendation system is a plus
• Experience in AI risk and control governance is a plus
• A mature self-starter with strong drive, motivation, good business sense, and understanding of the personal banking market
• Excellent interpersonal and communication skills, fluent in English and Chinese; Mandarin knowledge is advantageous

• Not Applicable

• Full-time

• Business Development and Information Technology

• Banking, Capital Markets, and Financial Services

Join to apply for the (Senior) Customer Analytics & Data Science Manager (Modeling) role at Bank of China (Hong Kong)

Get AI-powered advice on this job and more exclusive features.

• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Stay highly sensitive to the latest AI trends

• Explore and create strategic solutions and actionable recommendations for the personal banking business by leveraging emerging AI technologies (e.g., Generative & Agentic AI, Reinforcement Learning, Machine Learning)
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
• Develop and refine AI models to meet business objectives and regulatory requirements
• Identify and evaluate suitable AI vendors for specific use cases, managing escalations to ensure deliverables and timelines are met with excellence
• Proactively identify new business opportunities and targeting strategies powered by AI technology advancements
• Remain highly sensitive to the latest AI trends

• Degree or above with major in Computer Science, Data Science, Information Systems, or related discipline
• 3+ years' experience in analytics, modeling, and machine learning/AI/Generative AI, with at least 1 year at managerial level
• Experience in Banking, Financial Services, or FinTech industry preferred
• Knowledge in embedding techniques, RAG, promptings, and LLM fine-tuning; involvement in search engine or recommendation system is a plus
• Experience in AI risk and control governance is a plus
• A mature self-starter with strong drive, motivation, good business sense, and understanding of the personal banking market
• Excellent interpersonal and communication skills, fluent in English and Chinese; Mandarin knowledge is advantageous

• Not Applicable

• Full-time

• Business Development and Information Technology

• Banking, Capital Markets, and Financial Services

Join to apply for the Data Center Customer Operations II role at Equinix

1 day ago Be among the first 25 applicants

Join to apply for the Data Center Customer Operations II role at Equinix

Get AI-powered advice on this job and more exclusive features.

Who are we?

Equinix is the world’s digital infrastructure company, operating over 260 data centersacross the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.

Who are we?

Equinix is the world’s digital infrastructure company, operating over 260 data centersacross the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.

Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providingan equitable work environment that is foundational to our core values as a company and is vital to our success.

Job Summary

Conducts circuit maintenance, installations, and advanced testing.

Responsibilities

Installations

• Racks and stacks customer equipment
• Installs intra-cage fiber tray, ladder rack, customer equipment and cabinets
• Infrastructure installs to include the following: whalebone cable management, public fiber tray systems, carrier ladder rack, AC/DC power trays, security trays, cash mesh
  
  

• Determines work priorities from the Oracle queue and ensures adherence to all commit times
  
  

• Conducts carrier circuit testing
  
  

• Installs/Tests/Modifies cross connects per SOPs and ensures proper cable management of: coax, fiber, twisted pair copper, and intra-building cross connects
• Installs and tests advanced cross connects circuits (switched, multiplexed, etc.)
• Installs and test Data Center Link cross connects (T1, DS3, OC3-48, Eth, GigE, 10Gig)
  
  

• Maintains detailed written records of all work activity
  
  

• Supports fulfillment of projects with direction from senior staff
  
  

• Completes all assigned training in a timely manner
  
  

• Supports customer satisfaction through timely and precise order execution
  
  

• 1+ years experience
• High School Diploma
• BERT and SONET test equipment
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Other
• Industries Internet Publishing

Referrals increase your chances of interviewing at Equinix by 2x

Central, Hong Kong SAR SGD800.00-SGD1,200.00 3 months ago

Wan Chai District, Hong Kong SAR 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Data Center Customer Operations Engineer role at Equinix .

Who are we?
Equinix is the world’s digital infrastructure company, operating over 260 data centers across the globe. Digital leaders harness Equinix's trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners, and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences, and multiply their value, while supporting their sustainability goals.

Joining our operations team means you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

Acquires job skills to resolve routine tasks requiring limited judgment. Focus is on routine tasks, using limited judgment of standard operating procedures. Supports the overall team.

• Provide technical support services including data center operations, equipment maintenance, and service provisioning
• Support disaster recovery drills and invocations
• Install and de-install customer cross-connections
• Perform Smart Hands services
• Perform tape backup services
• Handle incidents, troubleshoot problems, and escalate as needed
• Escort Telco engineers for circuit provisioning or troubleshooting
• Supervise vendors working within data center premises
• Maintain accurate records, document problems, and prepare reports
• Exhibit quality workmanship on all tasks
• Manage multiple projects and work effectively in a team
• Work on a 24x7 shift schedule and participate in emergency scheduling
• Perform other duties as assigned

• Graduate in Computer Science or related discipline from a technical institute or university
• Customer-focused with good communication and interpersonal skills
• Able to perform 24x7 shift duties
• Good presentation and problem-solving skills
• Disciplined, self-motivated, eager to learn
• Fluent in English, both speaking and writing
• Knowledge of office applications, telecommunications equipment, and technologies
• Certifications such as CCNA, CCIE, Juniper, Sun, etc., are advantageous

Equinix is committed to an inclusive employment process. If you need assistance or accommodations, please let us know by completing this form.