373 Sales Data jobs in Singapore

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that revolutionizes entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Apple's Channel Sales organization works with the ecosystem of telecom operators and resellers that bring our products to customers around the world. Our teams collaborate with our partners to ensure they deliver the best customer experience when merchandising, demoing and selling Apple products that enrich the lives of hundreds of millions of people. The South-East Asia Channel Sales team seeks an outstanding professional to lead the Data & Insight team. The team enables strategic business decisions by running in-depth data analysis and delivering state-of-the-art analytics and reporting solutions - including both traditional dashboards and scalable AI/ML platforms. The successful candidate will possess a relentless focus on innovation, an eagerness to challenge the status quo, the ability to bridge business and technology and a passion to deliver a best-in-class experience to their internal customers. Can you see yourself doing your life's best work here with us?

Description

* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship * Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML * Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges * Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies * Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region * Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team * Develop partnership with Apple IT team and keep on point on latest in-house technology * Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing * Own and manage portfolio of data management and sales ops processes run by the team

Minimum Qualifications

• Experience in the retail industry
• 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
• Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
• Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
• Experience with AI/ML models and their application in data management and insights generation
• Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
• Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
• Exceptional communication and presentation skills

Preferred Qualifications

• Experience with UI/UX development, including data visualisation design
• Experience with programming/scripting languages, such as Python
  Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus

Submit CV

Sales - Data & Insight Manager, Southeast Asia
Singapore, Singapore Sales and Business Development
Description
* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship* Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML* Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges* Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies* Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region* Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team* Develop partnership with Apple IT team and keep on point on latest in-house technology* Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing* Own and manage portfolio of data management and sales ops processes run by the team
Minimum Qualifications
Experience in the retail industry
12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
Experience with AI/ML models and their application in data management and insights generation
Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
Exceptional communication and presentation skills
Preferred Qualifications
Experience with UI/UX development, including data visualisation design
Experience with programming/scripting languages, such as Python
Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus
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About the job

Our client in is looking for an experienced Solution Architect/ Pre-sales (Data & AI) to join their team.

Your new role

As Pre-sales (Solution Architect), you will be responsible for:

• Lead cloud solution architecture and product planning, ensuring scalable, efficient, and innovative implementations.
• Manage technical delivery of cloud projects, including demos, POCs, implementation, and post-sales support.
• Communicate cloud AI product value by comparing competitors and tailoring messaging across diverse APAC stakeholders.
• Understand digital transformation challenges across industries, identifying customer needs and aligning with tech trends.
• Drive product improvement by bridging customer feedback and product teams, enhancing cloud solution competitiveness.

What you’ll need to succeed

• Bachelor’s degree
• 7+ years of experience in data/ cloud solution architecture, Pre-sales, Post-sales.
• Experienced in data analytics and AI frameworks like SQL, Python, TensorFlow, and PyTorch.
• Skilled in designing cloud architectures across AWS, Azure, and Google Cloud platforms.
• Responsible for technical planning, implementation, and support across cloud-based projects.
• Proactive, customer-centric mindset with readiness to travel across APAC for client engagements.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R | EA License Number: 07C3924 | Company Registration No: D

Position Summary

This is an exciting, newly created position for a junior salesperson to join a growing cross-regional APAC team The role specializes in assisting with sales of data solutions - across the financial sector and other industries. We target a wide range of personas who require data, analytics, and infrastructure for their operations.

As a junior ''hunter'' in pre-sales and pursuit activities, you will assist the team grow our revenue winning new business with either existing or new customers.

This role is exclusively about gross sales, with a view to be promoted to a senior seller depending on performance. The successful candidate will get a phenomenal amount of support from the very beginning. We have extensive training provided via onboarding programs and continued mentoring by other frontline staff and management.

We are an equal opportunities employer and create an environment where the individual will benefit greatly in terms of their career growth, client exposure, knowledge and skills. If you're interested in joining a dynamic and growing cross regional team, please apply

Role Responsibilities

• Support senior sales specialists to win new business
• Lead generation via Salesloft campaigns, cold calling, etc.
• Go after new business via sales strategies (target lists, market research)
• Support the cross regional team with progressing opportunities via monitoring internal processes
• Deliver customer demonstrations on our data solutions related product offerings

Qualifications and Experience Required

• 2-4 years of experience working in the financial industry, ideally in a client facing organisation
• General understanding of financial markets and how professionals use market data
• Strong Sales mentality
• Strong presentation skills (verbal & written)

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

SALES_MARKETING

The Pricing Reference Services Sales role at LSEG drives adoption of end of day and evaluated pricing, corporate actions and reference data solutions across all major asset classes for both buyside and sellside institutions.

The candidate will engage both middle and back office teams, custody providers and fund administrators to deliver solutions that simplify workflows, streamline regulatory reporting and support operational efficiency.

As a "hunter" in pre-sales and pursuit activities, you will join a team to act alongside Account Managers focusing on all sales (new, cross-sells, up-sells) for Data & Feeds Solutions in the given territory, to both existing and new customers.

This role is exclusively about gross sales, with future potential territory expansion depending on performance, and regular travel around the region. Extensive training and support is provided, and involves working in close partnership with account managers, solution consultants and customer success managers to proactively drive revenue growth.

LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities

Role Responsibilities

• Drive sales of multi-asset pricing and reference data services to institutional clients across asset management, banking, custody and fund administration sectors
• Develop relationships within middle and back office departments, including operations, risk, compliance and data management teams.
• Articulate value for regulatory compliance and reporting needs helping clients meet global and regional obligations using LSEG's data solutions
• Address client requirements for data enrichment, instrument identification (symbology) and integration with portfolio management, risk, core banking, core banking, custody and fund administration platforms.
• Support clients in leveraging LSEG data for operational processes and workflow transformation

Key Experience & Skills

• Deep understanding of financial markets and their market data requirements
• While product knowledge is a plus, passion and proven selling skills are far more meaningful
• Strong sales closer
• Strong presentation skills (verbal & written)
• Experience driving sales strategies
• 5+ years of industry, sales or market experience
• Proven track record in a quota bearing sales environment

People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this

privacy notice

carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained,

your rights and how to contact us as a data subject

.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

• Support senior sales specialists to win new business
• Lead generation via Salesloft campaigns, cold calling, etc.
• Go after new business via sales strategies (target lists, market research)
• Support the cross regional team with progressing opportunities via monitoring internal processes
• Deliver customer demonstrations on our data solutions related product offerings

• 2-4 years of experience working in the financial industry, ideally in a client facing organisation
• General understanding of financial markets and how professionals use market data
• Strong Sales mentality
• Strong presentation skills (verbal & written)

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
  Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
  Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Submit CV

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
• Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.