5,119 Senior Analyst jobs in Singapore

We are seeking a dynamic and experienced Business Intelligence (BI) Analyst with strong data engineering capabilities to join our team. The ideal candidate will have a deep understanding of Microsoft Fabric, HR analytics, and finance analysis. This role will be pivotal in transforming data into actionable insights that drive strategic decision-making across the organization.

Responsibilities

Data Engineering & Integration:

• Design, develop, and maintain scalable data pipelines and ETL processes using Microsoft Fabric.
• Integrate and consolidate data from various sources, ensuring data quality, accuracy, and reliability.
• Collaborate with IT partners to optimize database performance and data warehouse architecture.

Business Intelligence & Analytics:

• Develop and maintain dashboards, reports, and visualizations using Power Bl to communicate findings and insights to stakeholders to facilitate data-driven decision making.
• Utilize advanced data analysis and statistical techniques to extract valuable insights from complex operations, HR, and financial datasets.
• Identify trends, patterns and correlations in data that drive business strategy.
• Develop predictive data models and algorithms to inform strategic decision-making.

Collaboration & Stakeholder Management:

• Collaborate with stakeholders to understand their needs, challenges, and objectives.
• Translate these into clear actionable requirements and solutions.
• Partner with cross-functional teams to identify business opportunities and challenges.
• Communicate complex data insights and recommendations to non-technical stakeholders effectively.
• Collaborate with operations, HR, and Finance teams to develop predictive models and data-driven strategies.
• Provide training and support to end-users to enhance their proficiency in utilizing Bl tools and understanding data-driven insights.

Continuous Improvement:

• Stay up to date with industry trends, best practices, and emerging technologies in Bl, data engineering, and analytics.
• Lead initiatives to enhance data governance, data security, and data management practices.
• Maintain comprehensive documentation for future reference and audit purposes.

Qualifications

• Right to work in Singapore without visa or employment pass sponsorship
• Bachelor's degree in computer science, Data Science, Information Technology, or a related field.
• 5+ years of experience in Bl, data engineering, or a similar role. Fresh graduates with strong academic backgrounds and relevant skills are also encouraged to apply.
• Proficiency in Microsoft Fabric, Power Bl, SQL, and data integration tools.
• Familiarity with data warehousing concepts and ETL processes.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to convey technical concepts to nontechnical audiences.
• Ability to work independently and in a team, managing multiple tasks and priorities.

Public Sector

The Opportunity

• Adecco is partnering a divison from public service
• We are looking for a Business Intelligence Analyst (12 months contract)
• Office Location: TBC

The Talent:

• Proficient in SQL
• Qualification in IT or business analytics or data-related fields.
• Proficient in data visualisation tools like Microsoft Access, Power BI and Qilksense.
• Advanced Excel skills.
• Proficient in visual communication principles.
• Proficient in stakeholder engagement and communication skills.
• Good to have knowledge of programming skills for advanced statistical analysis.

Job Description

• Engage and collaborate with business process owners to gather and document dashboard requirements.
• Analyse business processes and reporting needs.
• Create dashboard specifications and wireframes.
• Validate data requirements with stakeholders.
• Acquire data from primary/secondary data sources and perform data cleaning/wrangling/mining to uncover underlying trends.
• Ensure compliance with data security and governance guidelines.
• Analyse results using appropriate statistical techniques, not limited to descriptive and inferential statistics, to uncover actionable insights.
• Design, develop, maintain and update interactive dashboards/ visualisations using appropriate BI tools with user-friendly interfaces for decision making.
• Work with data sources and databases.
• Design, create, maintain, and query of data models.

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R

The Cross Border team at Shopee empowers sellers from all over the world to sell into the Southeast Asia and Taiwan region. The team helps sellers to market their products across the 7 markets and provide enabling services such as cross border logistics, operations, payments, product related services, overseas warehouse fulfillment and business intelligence. Browse our Cross Border eCommerce team openings to see how you can make an impact with us.

About the Team:

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As Business Intelligence Specialists and Data Analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real 'intelligence' in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

The Cross Border Business team at Shopee leverages data analytics to drive growth for international sellers and enhance the shopping experience for our users. We analyse seller performance, customer behaviour, and category trends to uncover insights that shape strategy and decision-making.

Job Description:

• Conduct a thorough analysis to identify trends, patterns, and opportunities for the Shopee cross-border business organisation
• Collaborate with stakeholder teams to define Key Performance Indicators (KPIs) and develop metrics that align with business objectives
• Lead cross-functional teams' data analytics projects
• Create, monitor and optimise reporting flow using BI tools from back-end to front-end
• Maintain data integrity and streamline data processes
• Gather business requirements to develop small to medium-sized tools or simulation models in helping business to achieve quick and important goals

Requirements:

• Bachelor's Degree in data analytics, engineering, statistics, mathematics or any other quantitative discipline
• Internship experience in business intelligence, data analytics, engineering or any other related fields
• Proven technical skills, Python, SQL, VBA, Excel, Google Sheets, Tableau etc
• Experience in data analysis and process automation
• Able to pay attention to detail and rely on data
• Able to story-tell and transform numbers into key insights that drive business decisions
• Able to communicate clearly and succinctly to stakeholders
• Able to identify root causes and solve challenges
• Possess a Growth and Optimisation mindset

Job Responsibilities:

• Engage and collaborate with business process owners to gather and document dashboard requirements
• Analyse business processes and reporting needs
• Create dashboard specifications and wireframes
• Validate data requirements with stakeholders
• Acquire data from primary/secondary data sources and perform data cleaning/wrangling/mining to uncover underlying trends
• Ensure compliance with data security and governance guidelines
• Analyse results using appropriate statistical techniques, not limited to descriptive and inferential statistics, to uncover actionable insights
• Design, develop, maintain and update interactive dashboards/ visualisations using appropriate BI tools with user-friendly interfaces for decision-making
• Work with data sources and databases
• Design, create, maintain, and query data models
• Undertake any miscellaneous tasks and assignments as needed to support the organisation's broader innovation efforts

Job Requirements:

• Possess a tertiary qualification in IT, business analytics or an advanced diploma in data-related fields.
• Proficient in SQL
• Proficient in data visualisation tools like Microsoft Access, Power BI and Qilksense
• Advanced Excel skills
• Proficient in visual communication principles
• Proficient in stakeholder engagement and communication skills.
• Good to have knowledge of programming skills for advanced statistical analysis.

By submitting an application or your resume, you are deemed to have consented to Dynamic Human Capital Pte Ltd collecting, using and disclosing your personal data for the purposes stated in our privacy notice ). You acknowledge that you have read, understood, and agree with the terms in our privacy notice.

We regret that only short-listed candidates will be notified.

Dynamic Human Capital Pte Ltd (EA Licence No: 12C6253)

Lisa Gunawan (Registration No: R

Business Intelligence Analyst

One of the biggest Tech MNCs

The Opportunity

• Adecco is partnering our client, one of the biggest Tech MNCs
• We are looking for a Business Intelligence Analyst
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• 4-5 years of relevant experience and solid user of PowerBI.
• Intermediate to Advanced proficiency in Excel.
• Strong analytical and problem-solving abilities.
• Effective communication skills for stakeholder interaction.
• Technical proficiency in PowerBI and Excel.
• Finance background - experienced in dealing with financial data

Job Description

• Work with internal stakeholders to determine business requirements, priorities, define key performance indicators (KPI).
• Build an understanding of the business at a level of detail that enables them to identify and address critical issues.
• BI Analysts educate and train clients to use the data as an analytical tool, displaying the information in new forms and content for the purpose of analysis and option exploration.
• Design, and document dashboards, alerts, and reports either on a regular recurring basis or as needed.
• Conduct analyses of functional business processes and functional business requirements and participate in the development of business cases in the support of process changes and/or IT projects.
• Provide Design support for the development of business intelligence solutions.
• Work on medium to complex and cross-functional IT and business intelligence solutions.
• May perform analysis for a wide range of requests using data in different formats and from various platforms.
• Research business problems and creates models that help analyze these business problems.

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R

Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of.

As a Business Analyst at Lonza, you will engage with business management and the Program Management team by transforming data into clear, actionable insights. By consolidating and tailoring data views, you will help drive decision-making, support analytical advice, and act as a data integrity ambassador for the site. You will also play a key role in ensuring business-critical reporting is accurate, timely, and accessible, while partnering closely with the Senior Leadership Team.

What you'll get

• An agile career and dynamic working culture.
• An inclusive and ethical workplace.
• Compensation programs that recognize high performance.
• Daily company bus from the MRT location near your home to and from the Tuas site.
• Fully paid medical insurance, with the option to enroll family members at partially subsidized premiums.
• Access to Lonza's full global benefits portfolio:

What you'll do

• Support and lead projects and initiatives to transform business management tools into clear and informative outputs.
• Provide SAP technical support to the site and business teams.
• Support the monthly Sales & Operations Planning (S&OP) process.
• Update, maintain, and improve existing reporting and dashboards.
• Partner with Finance to support monthly revenue reconciliation.
• Perform other duties as assigned.
• Elaborate complex reports by combining information from multiple sources.
• Use advanced data analysis tools with proficiency.
• Represent the Program Management function in site and Global forums related to revenue, targets, and profitability.

What we're looking for

• Bachelor's degree in business, Finance, or a related field.
• Strong background in business management and financial tools.
• Solid expertise in data analysis and transforming data into actionable insights.
• Experience with SAP systems and reporting tools; advanced Excel or BI tools proficiency preferred.
• Strong communication skills with the ability to present technical data to non-technical colleagues.
• Ability to work collaboratively across functions and with senior stakeholders.

Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Our client is a game and lifestyle products company. They are currently looking for a Business Intelligence Manager who’s enthusiastic in supporting the company creates a data platform to help stakeholders uncover, analyze, and deliver on organizational level. As a BI analyst, you will create and implement BI analysis, you will create and implement BI solutions with multiple departments throughout the organization, including marketing, products and sales.
Responsibilities
To better understand company issues and possibilities, establish close connections with key partners. Recommend goods and procedures that cover a wide variety of issues.
Oversee end-to-end data initiatives, including identifying issues, gathering data from a variety of sources, analyzing data, interpreting patterns and trends, building models, making suggestions, and creating informative automated analyses.
Based on the established data, review day-to-day operations procedures, identify opportunities for improvement, and provide practical suggestions.
Utilize data to get company insights, identify purchasing trends, and make growth suggestions.
Gathering of data, analysis, and preparation of succinct conclusions and statements for partners
To eliminate ad-hoc recurrent data requests, automation entails creating clear, succinct, and simple dashboards.
Evaluate important company KPIs and report any anomalies.
Ad hoc business-critical data requests should be identified and prioritized.
Requirements
It is desirable that you have at least 3 years of prior SQL and BI visualization expertise (e.g., Tableau, Power BI, AWS Quicksight).
Data warehousing knowledge (for example, AWS Redshift, Google BigQuery, and Microsoft Azure SQL Data Warehouse) is a plus.
If necessary, be able to collaborate closely with multiple internal teams and stakeholders to complete assignments.
Data-driven and meticulously structured.
Ability to work individually; self-organization, prioritization, and execution of given responsibilities.
Self-motivated and deadline-driven, with the capacity to think beyond the box.
A solid knowledge of Rapid and weekly sprint and launch methodologies.
Excellent written and spoken mastery of the English language.
Strong communication abilities – excellent at both inter-team and intra-team communication.
A team player that believes in a collaborative manner.
Interested candidates are invited to send in your resume in MS Word Format* stating your past work experience, reasons for each leave, past and expected remuneration.
We regret to inform that only shortlisted candidates will be notified.
By submitting an application to us, you will be deemed to have agreed for us to collect, use and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consent us to perform on your behalf.
EA License: 19C9782 (Cultivar Asia Pte Ltd)
EA Personnel: R
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Join to apply for the
Business Intelligence Analyst - SG Business Intelligence
role at
Shopee
Join to apply for the
Business Intelligence Analyst - SG Business Intelligence
role at
Shopee
Partner with business teams to provide insights to support data-driven decision making strategy
Lead cross-functional teams' data analytics projects
Provide solid technical supporting on automation and business projects
Translate complex business requests to executional technical tasks
Automate manual reporting process by VBA/python/SQL
Monitor and optimise reporting flow from back-end to front-end
Solve complex data projects by using variable algorithms
Provide training and coaching team members
Job Description
Partner with business teams to provide insights to support data-driven decision making strategy
Lead cross-functional teams' data analytics projects
Provide solid technical supporting on automation and business projects
Translate complex business requests to executional technical tasks
Automate manual reporting process by VBA/python/SQL
Monitor and optimise reporting flow from back-end to front-end
Solve complex data projects by using variable algorithms
Provide training and coaching team members
Requirements
Bachelor’s/Master Degree, preferably in data analytics, statistics, mathematics or any other quantitative discipline
3-7 years of experience in business intelligence, data analytics or any other related fields
Proven technical skills, python, SQL, VBA, Excel, Google Sheets, Tableau etc.
Experience in data analysis preferred
Able to pay attention to detail and rely on data
Able to story tell and transform numbers into key insights that drives business decisions
Able to communicate in a clear and succinct manner to stakeholders
Able to identify root causes and solve challenges
Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Strategy/Planning, Analyst, and Consulting
Industries Internet Marketplace Platforms and Technology, Information and Internet
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We are seeking a talented and dedicated Business Intelligence Analyst with a focus on Microsoft Fabric to join our team. The ideal candidate will be responsible for designing and implementing robust data solutions, creating efficient ETL processes, and developing insightful dashboards using leading Business Intelligence tools. The Business Intelligence Lead will play a key role in transforming raw data into actionable insights that drive informed decision-making within the organisation. Candidates with experience and familiarity in smart building platforms, Computerised Maintenance Management Systems (CMMS), and IoT technologies are strongly preferred.

Responsibilities

• Requirements Gathering: Collaborate with business stakeholders to understand their needs, challenges, and objectives. Translate these into clear and actionable requirements, particularly in the context of smart building operations and IoT data
• Data Analysis: Utilise advanced data analysis techniques to extract valuable insights from complex datasets. Develop data models and algorithms to support decision-making.
• BI Solution Development: Design, develop, and maintain Business Intelligence solutions, including dashboards, reports, and data visualisations that support smart building performance, energy efficiency and predictive maintenance.
• Data Integration: Work closely with IT and engineering teams to integrate data from IoT platforms, CMMS, and building management systems (BMS) into centralised data warehouses.
• Quality Assurance: Conduct thorough testing and validation of BI solutions to ensure they meet business requirements and provide accurate insights.
• Stakeholder Engagement: Facilitate communication between IT, facilities management, engineering, and other relevant stakeholders to ensure alignment of BI initiatives with operational goals.
• Documentation: Maintain comprehensive documentation of business requirements, technical specifications, and BI solutions for future reference and audit purposes.
• Training and Support: Provide training and support to end-users to enhance their proficiency in utilising BI tools and understanding data-driven insights.

Job Requirements:

• Bachelor's degree in computer science, Information Technology, Business, or a related field.
• Proven experience as a Data Engineer or BI Specialist.
• Strong proficiency in Business Intelligence tools such as Tableau, Power BI, or similar.
• Excellent data analysis and problem-solving skills.
• Proficiency in SQL and data modelling.
• Familiarity with Microsoft Fabric, data warehousing concepts, pipelines, and ETL processes.
• Preferred: Understanding of smart building platforms, CMMS and IoT data ecosystems.
• Strong written, communication, interpersonal and presentation skills.
• Ability to work independently and in a team, managing multiple tasks and priorities.
• Relevant certifications (e.g. Tableau Certification, Azure Data Analyst) are a plus.