What Jobs are available for Analytics Intern in Hong Kong?

Responsibilities:

• 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

Requirements:

• 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

If you are applying for in-scope position(s) under the Mandatory Reference Checking Scheme (i.e., A role carrying out regulated activities licensed by the IA, SFC & MPFA), you are required to undergo the Mandatory Reference Checking. Our responsible recruiter will inform you the details of the MRC process and the requirements in due course. For details, please click here.

Key Responsibilities:

• Review the design of reusable semantic models and datasets (DAX, star schema) in Fabric/Power BI, aligned to business KPIs and AI-driven use cases.
• Oversee the build of high-performing dashboards and reports with drill paths and accessibility, augmented with Power BI Copilot/Q&A and narrative summaries where suitable.
• Integrate Databricks outputs (features, predictions, embeddings) via Unity Catalog and "Publish to Power BI," ensuring consistent governance and RLS/CLS.
• Optimize large models and real-time use cases (Direct Lake/DirectQuery, incremental refresh, aggregations) for BI and AI-assisted experiences.
• Establish versioning, deployment, and CI/CD for BI/AI artifacts with DevOps; monitor usage, performance, and adoption to drive continuous improvement.
• Act as an escalation point for data delivery teams when data visualization engineers need support to complete delivery on time.

Desired Profile:

• Technical Experience: 6+ years in analytics/BI with strong Power BI (DAX, Power Query, Tabular modeling) and Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2).
• Data Product & Governance: Experience developing governed data products, implementing governance frameworks, metadata management, data cataloging, lineage, and data quality controls.
• Platform Integration: Working knowledge of Databricks and Unity Catalog to consume curated data, features, and model outputs with consistent governance.
• Performance & Scale: Hands-on with Direct Lake/DirectQuery, incremental refresh, aggregations, and optimization of large models.
• Problem-Solving Skills: Proven ability to identify, troubleshoot, and resolve complex technical issues using automated solutions.
• Security & Governance: Experience implementing Unity Catalog/Purview lineage, access controls, secrets management, and compliant deployments.
• Communication & Documentation: Clear technical communication and the ability to support globally distributed teams.
• Experience working in retail, luxury, and consumer industry is preferred.
• Experience producing high-quality documentation: Technical specifications, functional specifications, user playbooks.
• Experience working with SAFe Agile framework and driving design reviews, demos, and user training.

Education:

• Bachelor's in Computer Science, IT, or related field. Certifications in data engineering or related technologies are highly valued.
• Certification in Fabric and PowerBI is highly preferred, e.g. Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Enterprise Data Analyst Associate.

Wisers is a leading expert in business intelligence and media big data analytics, leveraging advanced AI technologies to provide insights for over 3,000 corporate clients across all industries, including both public and private sectors. Our top-tier Chinese NLP, computer vision, and augmented analytical technologies transform vast amounts of data into actionable insights, helping our clients make strategic decisions.

As Analytics Supervisor, you will drive cutting-edge research by leveraging AI technology to analyze Chinese big data, delivering impactful insights on public policies, political trends, and social affairs for public sector clients. Lead and inspire a team of analysts while collaborating with clients to design innovative, AI-powered research methodologies.

Key Responsibilities

• Analyze large-scale Chinese-language big data from various media channels using our proprietary database and AI technologies
• Compile detailed research reports in Chinese or English with actionable insights on public policies, political trends, and social affairs
• Supervise 1-2 junior analysts, providing guidance, feedback, and performance reviews
• Ensure the services provided to clients are timely and precise according to client's needs and specifications while meeting the company's quality standards
• Collaborate with the Sales team to engage public sector clients, showcasing the team's analytical capabilities, understanding client needs, and demonstrating how AI and big data can drive policy research and enhance social service delivery
• Design and plan research frameworks, methodologies, approaches, and workflows tailored to specific projects or client needs

• Bachelor's degree in Journalism, Political Science, Public Policy, Social Science, Sociology or related field

• Strong analytical skills with a solid understanding of local political, social, and policy-related issues

• Open-mindedness and adaptability in using AI tools for analytics

• Adapt a proactive approach to problem-solving and innovation
• Good data visualization and presentation skills

• Excellent written and verbal communication in both Chinese and English

• Proficient in Microsoft Office applications, with proper business email manners

At Wisers, you'll have the opportunity to make a significant impact in a steadily growing organization with immense potential. We offer:

• Competitive salary with discretionary bonuses
• Comprehensive medical insurance, including dental benefits
• Friendly, dynamic, and collaborative work environment
• Career growth opportunity with significant contribution to the company
• Fully stocked pantry with a variety of games for relaxation

If you meet the qualifications and are ready to take on this exciting opportunity, please submit your resume along with your current and expected salary.Apply now

(Data collected will be treated as strictly confidential and will be used for recruitment purposes only)

Key Responsibilities:

• Review the design of reusable semantic models and datasets (DAX, star schema) in Fabric/Power BI, aligned to business KPIs and AI-driven use cases.
• Oversee the build of high-performing dashboards and reports with drill paths and accessibility, augmented with Power BI Copilot/Q&A and narrative summaries where suitable.
• Integrate Databricks outputs (features, predictions, embeddings) via Unity Catalog and "Publish to Power BI," ensuring consistent governance and RLS/CLS.
• Optimize large models and real-time use cases (Direct Lake/DirectQuery, incremental refresh, aggregations) for BI and AI-assisted experiences.
• Establish versioning, deployment, and CI/CD for BI/AI artifacts with DevOps; monitor usage, performance, and adoption to drive continuous improvement.
• Act as an escalation point for data delivery teams when data visualization engineers need support to complete delivery on time.

Desired Profile:

• Technical Experience: 6+ years in analytics/BI with strong Power BI (DAX, Power Query, Tabular modeling) and Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2).
• Data Product & Governance: Experience developing governed data products, implementing governance frameworks, metadata management, data cataloging, lineage, and data quality controls.
• Platform Integration: Working knowledge of Databricks and Unity Catalog to consume curated data, features, and model outputs with consistent governance.
• Performance & Scale: Hands-on with Direct Lake/DirectQuery, incremental refresh, aggregations, and optimization of large models.
• Problem-Solving Skills: Proven ability to identify, troubleshoot, and resolve complex technical issues using automated solutions.
• Security & Governance: Experience implementing Unity Catalog/Purview lineage, access controls, secrets management, and compliant deployments.
• Communication & Documentation: Clear technical communication and the ability to support globally distributed teams.
• Experience working in retail, luxury, and consumer industry is preferred.
• Experience producing high-quality documentation: Technical specifications, functional specifications, user playbooks.
• Experience working with SAFe Agile framework and driving design reviews, demos, and user training.

Education:

• Bachelor's in Computer Science, IT, or related field. Certifications in data engineering or related technologies are highly valued.
• Certification in Fabric and PowerBI is highly preferred, e.g. Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Enterprise Data Analyst Associate.

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Job Summary

We are seeking a highly motivated and detail-oriented individual to join our marketing team as a Marketing Analytics & Operations Specialist. This role is crucial for the smooth functioning of our marketing department, ensuring that our campaigns are efficient, effective, and ROI-driven. The ideal candidate will be a spreadsheet wizard with a knack for numbers and a passion for data-informed decision-making.

Key Responsibilities

• Marketing Operations: Manage all vendor and partnership payments, including processing purchase requests (PR), purchase orders (PO), and invoices.
• Partnerships Reporting: Generate and distribute daily and weekly performance reports for all marketing partnerships.
• Financial Reporting: Track and update the Profit & Loss (P&L) statement on a weekly basis.
• Expense Tracking: Monitor and report on all marketing department expenses.
• ROI Analysis: Calculate and report on the Return on Investment (ROI) for various marketing channels, including podcasts, influencers, and partnerships, on a weekly and monthly basis.

Qualifications and Skills

• Exceptional proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets), including advanced functions, pivot tables, and data visualization.
• Strong analytical and quantitative skills with a demonstrated ability to interpret data and translate it into actionable insights.
• Excellent time management and organizational skills, with the ability to manage multiple projects and deadlines simultaneously.
• Exposure to Marketing Analytics & Finance Processes would be a nice to have

Desired Qualities

• Diligent: A thorough and conscientious approach to all tasks.
• Reliable: A dependable team player who consistently delivers high-quality work.
• Excellent Time Management: The ability to prioritize tasks and manage time effectively in a fast-paced environment.
• Spreadsheet Savvy: A genuine passion for and expertise in working with spreadsheets and data.

Our client is a leading large-scale commercial bank, offers diverse financial services, including corporate and personal banking, asset management, and emphasizes technology finance, green finance, and national strategy support.

Responsibilities

• Act as the Bank's center for innovation, assessing the potential of
  emerging data and technologies
  for analytics to enhance business value.
• Engage in the hands-on creation of a
  dvanced analytics and machine learning solutions
  to improve the effectiveness of analytics and modeling using both supervised and unsupervised techniques on structured and unstructured data, such as
  digital footprints
  .
• Investigate the availability and transformation of unstructured data sources, including browsing history, voice recordings, emails, images, and videos.
• Combine internal and external customer data, both structured and unstructured, to develop a comprehensive customer profile.
• Review current system capabilities and identify necessary enhancements in both systems and processes, utilizing internal banking systems or vendor solutions to plan effective business applications with achievable timelines.
• Establish a feedback loop for learning, ensuring that insights are applied for ongoing improvement.
• Serve as a Subject Matter Expert to train and promote a culture of machine learning skills within the organization.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Management, Statistics, or a related field.
• At least 8 years of practical experience as a data scientist, focusing on
  large-scale analytics
  projects within the
  Financial Services
  sector.
• Extensive expertise in leveraging
  artificial intelligence (AI)
  and machine learning techniques to improve business strategies, combined with industry insight.
• Skilled in programming languages such as
  Python and SAS,
  with experience in data manipulation, analysis,
  machine learning
  ,
  web scraping, and NLP.
• Strong ability to translate analytical insights into actionable business strategies that enhance value.
• Demonstrates a strong sense of ownership and a customer-oriented approach to ensure effective service delivery.
• Committed to continuous learning and passionate about keeping up with the latest developments in data science and machine learning.

Position Summary and Objective

The role mainly focus on driving and implementing various Regtech initiatives, including building robust data pipelines & AI Application, devising analytics insights, establishing platform to usage of actionable insights.

Through the in-depth analysis across different spectrum of business / customer / transaction data, figure out problem points, risk points, opportunity points, and by using the data/AI to support bank's internal control.

Explore and create business solutions and actionable recommendations for the personal banking business by leveraging emerging technologies (e.g. Generative & Agentic AI, Machine Learning)

Job Responsibilities:

• Collaborate with internal stakeholders to understand business needs and deliver a spectrum of AI application and data services to improve operational efficiency and enhance internal control
• Establish AI application use cases and to develop protocol with ongoing tracking and improvement measures
• Utilize AI analytics to extract meaningful insights, optimize services and enable predictive modeling
• Develop and refine AI models & prototype to meet business requirements and objectives
• Identify and evaluate suitable AI vendors for specific use cases, managing the deliverables and timelines
• Prepare IT development documents, data analysis reports, business requirements

Job Requirements:

• Bachelor degree in Data Science, Computer Science, Information System or relevant disciplines
• 3 years of relevant experience relating to analytics, modeling, business intelligence and machine learning/AI/Generative AI in banking industries is preferred
• Hands-on experience in implementing risk-related AI/Data solutions
• Knowledge in RAG, promptings, model fine-tuning, embedding techniques, involvement in recommendation system is a plus
• Experience in AI/machine learning model related risk and control governance is a plus
• Experience in coding SAS, SQL, Python, VBA, etc. is an advantage
• Good command of English, Chinese (Cantonese), both spoken and written

Wisers is a leading expert in business intelligence and media big data analytics, leveraging advanced AI technologies to provide insights for over 3,000 corporate clients across all industries, including both public and private sectors. Our top-tier Chinese NLP, computer vision, and augmented analytical technologies transform vast amounts of data into actionable insights, helping our clients make strategic decisions.

Lead our analytics vision across Hong Kong and Taiwan by transforming complex data into actionable business and political strategies. Drive growth by developing data-informed Go-To-Market (GTM) strategies, delivering client-focused solutions, and anticipating market trends. You'll collaborate with sales, marketing and product teams while mentoring high-performing analytics talent to strengthen our competitive advantage and market leadership.

Key Responsibilities

• Develop regional analytics strategies aligned with market trends and business objectives
• Advise Product Development teams by providing analytics expertise to shape new offerings, tools, and methodologies
• Champion data-driven innovation, ensuring our solutions address evolving market needs
• Act as the primary strategic analytics partner for Marketing department, turning data into actionable growth initiatives
• Partner with marketing and sales leadership to develop data-driven Go-To-Market (GTM) strategies, underpinned by insights on high-value customer segments and untapped markets
• Uncover key customer pain points and insights to directly inform product positioning, marketing campaigns, and messaging
• Translate complex market trends (for both public and private sectors) into actionable insights for clients and internal stakeholders
• Partner with Sales to identify analytics-driven revenue opportunities, craft winning proposals, and expand client portfolios
• Direct and mentor analytics teams across Hong Kong and Taiwan, fostering innovation and excellence
• Oversee end-to-end analytics projects, ensuring quality, timeliness, and alignment with client objectives
• Implement best practices for data analysis, AI integration, and reporting scalability
• Optimize resource allocation, capacity planning, and performance metrics for team efficiency

Core Competencies

• 8+ years in analytics/research, including 3+ years in leadership roles (agency experience preferred). Bachelor degree in Business, Statistics, Marketing, Social Science or related field
• Familiarity with consumer insights and local public affairs
• Proven track record of collaborating with marketing professionals and a deep understanding of marketer's goals, challenges, and key performance indicators
• Strong P&L awareness and exceptional client advisory skills. Ability to anticipate market shifts and translate them into actionable strategies
• Visionary leader who empowers teams and champions innovation
• Fluency in both English and Chinese (both Cantonese and Mandarin) for effective cross-regional collaboration
• Intellectual curiosity and a keen interest in the latest AI technologies and their applications
• Experience working with AI tools or platforms in the context of data analytics or market research

Preferred Skills

• Expertise in big data analysis and familiarity with BI tools like Power BI and Tableau.
• Experience in product development lifecycle or SaaS environments
• Agile decision-maker adept at navigating ambiguity and tight deadlines

At Wisers, you'll have the opportunity to make a significant impact in a steadily growing organization with immense potential. We offer:

• Competitive salary with discretionary bonus and attractive commission
• Great exposure to big data analysis and AI technology
• Comprehensive medical insurance, including dental benefits
• Friendly, dynamic, and collaborative work environment
• Fully stocked pantry with a variety of games for relaxation

If you meet the qualifications and are ready to take on this exciting opportunity, please submit your resume along with your current and expected salary.Apply now

(Data collected will be treated as strictly confidential and will be used for recruitment purposes only)

This role oversees a range of data-related responsibilities, including data mining, database management and upkeep, ensuring data quality, and conducting data analysis.

Job Duties

• Data Requests & Integration
  
  Key datasets-such as Hong Kong Granular Data-are exclusively accessible to the country analytics team (DAI). Having a dedicated DAI resource within the country enables faster turnaround for locally generated reports and summary tables shared with relevant stakeholders.
• Collaboration & Strategy DevelopmentThe role involves close collaboration with both internal and external business partners to develop, implement, monitor, and enhance decision-making strategies. Although primarily a business function, it requires coordination with marketing, technology teams, and various systems to support execution and launches.
• Campaign & Initiative AnalysisAnalytics support is needed from target selection through to campaign performance evaluation. As the number of initiatives grows, country-level DAI support becomes increasingly critical

Requirements

• Minimum 3 years in Data Analytics
• Relevant experience in data with basic SQL knowledge
• Preferred hands-on expeirence on any analytic tools (Ex. SAS, Knowledge Seeker, SPSS etc)