193 Senior Data Analyst jobs in Singapore

About the Project

We are seeking an experienced Data Analyst to support business operations. This role will focus on headcount and resource planning, expense analysis, and margin assessment, ensuring optimal staffing levels to meet business demands.

Responsibilities

• Assess data related to business margins, expenses, resource allocation, and costing data to support operational planning.

• Lead headcount planning by calculating requirements, identifying overstaffing/understaffing situations, and providing actionable recommendations.

• Prepare and deliver professional presentations to senior stakeholders, backed by accurate data points and insights.

• Conduct forecasting to anticipate future business needs and resource requirements.

• Provide consulting support to the business on capacity planning strategies.

• Collaborate with cross-functional teams across APAC markets to align planning with operational objectives.

Skills/Requirement

• Minimum 5 years of experience in data analysis, reporting and presentation in a corporate environment.

• Strong proficiency in Excel (advanced formulas, pivot tables, charts, data modelling).

• Proven experience in preparing and presenting insights to senior business leaders.

• Ability to challenge senior stakeholders constructively with data-backed recommendations.

• Strong analytical, forecasting, and problem-solving skills.

• Excellent communication and presentation abilities.

• Prior experience in APAC roles preferred.

We regret to inform you that only shortlisted candidates will be contacted.

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JOB PURPOSE AND RESPONSIBILITIES

• Analyze large, complex datasets representing the behavior of millions of retail consumers and users of the Fairprice online platforms to address strategic and operational needs of the business
• Initiate and design projects: plan a methodology, analyse the data, synthesize research findings into key insights and recommendations, and present to stakeholders at various levels
• Develop frameworks, models, tools, and processes to institutionalize insights discovery
• Coordinate and work with various internal clients including, but not limited to - business leads, category managers, marketing, finance, etc, using data to drive continuous improvement in their respective business objectives
• Build strong relationships with internal stakeholders to understand business challenges and opportunities
• Recommend solutions across operation such as identifying bottlenecks, recommending assortments, and how to improve customer experience
• Manage end-to-end data projects; identify issues, gather information from various sources, analyze data, interpret patterns and trends, give recommendations, and create insightful automated reports
• Review day-to-day operation processes, identify areas of improvement and make actionable recommendations based on underlying analysis
• Automate and validate newly created reports and develop corrective actions to improve data integrity and quality
• Be a steward of good data practices - robust documentation, process and knowledge sharing
• Drive transformation within the organization towards data driven decision making by developing reporting tools to drive self-service analytic
• Design and execute experimentation to use data to improve strategic projects. You must be able to define hypotheses, set up experiments, and track and analyze the results.

EDUCATIONAL QUALIFICATIONS

• Bachelor / Master degree in a relevant fields such as Statistics, Mathematics, Computer Science or another analytical field

RELEVANT KNOWLEDGE AND EXPERIENCE

• 5+ years of experience in analytics / market research / consulting / e-commerce / FMCG or equivalent
• experience
• 4+ years of experience in writing complex SQL from scratch and at least one data visualization tools other than Excel (e.g. Google Data Studio / Power BI / Tableau) to present insights from the data
• Experience in Google Data Studio, Big Query, Python, or R, modeling preferred
• Experience dealing with big data

PERSONAL CHARACTERISTICS & BEHAVIOURS

• Able to work independently and manage ambiguity
• Clear structural thinking, and strong curiosity for problem solving
• Self motivated to excel with a growth mindset to learn
• Excellent interpersonal, communication and project management skills
• Team player and ability to collaborate with stakeholders across functions

NOT APPLICABLE

Job Title: Data Analyst – Corporate Banking

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to be part of us. The role will focus on analysing large datasets, generating actionable insights, and supporting strategic decision-making. The ideal candidate will have strong data management skills, financial domain knowledge (Preferably Regulatory Reporting, Risk and Compliance in a corporate banking products), and the ability to communicate findings in a clear, business-oriented manner.

Key Responsibilities

• Collect, clean, and validate data from multiple banking systems (e.g., loan management, treasury, trade finance, payments).
• Perform quantitative and qualitative analysis on corporate banking portfolios, including lending, deposits, trade finance, and treasury products.
• Work with stakeholders to identify business needs and translate them into data-driven solutions.
• Conduct trend, variance, and scenario analysis to support pricing, profitability, and client segmentation.
• Ensure compliance with data governance, quality, and regulatory reporting standards.
• Partner with technology teams to improve data pipelines, automate reporting, and implement advanced analytics use cases.

Required Skills & Qualifications

• Bachelor's degree in data science, Statistics, Economics, Finance, Computer Science, or a related field.
• Minimum 2–5 years of experience as a Data Analyst, ideally within banking or financial services.
• Familiarity with statistical analysis tools (Python, R) preferred.
• Good understanding of corporate banking products (loans, deposits, trade finance, treasury, payments).
• Knowledge of risk, compliance, and regulatory reporting frameworks in banking.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills to translate technical data into business insights.

Preferred Attributes

• Experience in data warehousing, ETL, or big data platforms (Ex: Snowflake, Hadoop, Spark).
• Exposure to machine learning techniques for credit/risk scoring or client segmentation.
• Strong business acumen with an ability to connect data insights to revenue, cost, and risk drivers.
• Ability to work in cross-functional teams within a fast-paced banking environment.

Job Title:Civic Data Analyst

Job Duration:12 months contract with a possibility to extend or to go permanent

We're seeking a detail-oriented Civic Data Analyst to organize and maintain civic data across Asia-Pacific and India. You'll support civic integrity initiatives, collaborate with cross-functional teams, and improve data workflows.

Responsibilities:

• Research and verify government, politician, and political party data.
• Audit and ensure data accuracy.
• Develop dashboards and reports for data analysis.
• Collaborate with engineering to improve data processes.
• Support stakeholders in daily data use.

Skills & Qualifications:

• Bachelor's in Political Science, Economics, or related field.
• 3+ years in research or data roles.
• Advanced Excel and SQL skills.
• Strong understanding of international politics and the region's political landscape.
• Self-motivated with strong attention to detail.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at  You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd

Koh Boon Sien

EA Licence No: 11C5502

EA Registration No. R

Core Responsibilities:

• Build global and regional reporting solutions within Power BI using DataBricks to connect data sets to deliver the requirements.
• Identify problems and shortfalls, propose solutions in relation to the Reporting structure.

• Reports will support key developments that are built for scale to enable future implementations faster and more reliable:

• Operational Reports: Enable end users to more efficiently identify focus areas for in-cycle planning.

• Functional & Performance Management Reports: Track defined Key Performance Indicators to drive forecast improvement, root causes and corrective actions.

• Executive Reporting: Provide latest and greatest update on State of Affairs as well as enabling decision-making.

• Governance Reports: Track the adoption of processes and digital tools (where applicable) towards universal global standard way of working.

• Prepare presentations that convey project status and proposals to drive better outcome.
• Ongoing support of management information requests and special projects as assigned.

Play your part in our team succeeding

The team you support is responsible for forecasting the long-term horizon for both sell in and consumer sales in all regions across the globe. These Forecasts are a key part of understanding our business potential and identifying the areas that need focus versus our commercial ambitions.

This role will build a scalable centralised reporting and management system as well as a systematic tracker on the adoption and alignment.

Do you have what it takes?

• Degree in Supply Chain, Mathematics, Statistics, Engineering or other quantitative field with 3- 5 years of experience.
• Strong numerical reasoning skills with experience working in large data sets, and data-driven argumentation.
• Solid skills in building interactive dashboards and reports, proficient in DAX for advanced calculations and measures.
• Experience with Power Query (M language) for data transformation, including ETL processes, data pipelines and data architecture. Familiarity with connecting Power BI to multiple sources (Dataflows, Azure Databricks etc.)
• Knowledge of row-level security, workspace and Power BI app management.
• Experience in data modelling and design, knowledge in schemas for e.g. Star & snowflake
• Advanced excel for data validation, including the use of pivot tables and advanced formulas like VLOOKUP.
• Exceptional organizational skills, with problem-solving mentality, strong execution skills and attention to detail are essential.
• Excellent social skills, to collaborate seamlessly across functions; and to present complex technical.
• concepts clearly to both technical and non-technical collaborators.
• Comfortable participating in change initiatives related to digital transformation projects including system implementations or upgrades.
• Self-motivated, goal-oriented, and able to meet deadlines.
• Able to work independently with good sense of responsibility and minimal supervision.
• Flexible and adaptable to project changes.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

What's in it for you?

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount – We know you'll love to build, so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (eg. sex, gender identity or expression, race/ethnicity, national origin, sexual orientation, disability, age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Children's Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children's Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO team today.

Key Responsibilities

Collect, clean, and validate data from multiple sources.

Analyze large datasets to identify trends, patterns, and insights.

Create dashboards, reports, and visualizations to communicate findings effectively.

Collaborate with business teams to understand requirements and provide data-driven recommendations.

Monitor key performance indicators (KPIs) and generate actionable insights to improve business processes.

Assist in designing experiments, A/B testing, and statistical analysis.

Maintain documentation of methodologies, data sources, and analysis processes.

Key Requirements

Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Economics, or related field.

Min 8 years of professional experience in data analysis, business intelligence, or a related role.

Proficiency in data analysis tools such as SQL, Excel, Python, or R.

Experience with data visualization tools like Tableau, Power BI, or Looker.

Strong problem-solving and analytical thinking skills.

Excellent communication and presentation skills to explain complex data to non-technical stakeholders.

Knowledge of statistical analysis and predictive modeling is a plus.

Company Overview:

Real Estate Analytics Pte Ltd (REA) is a leading provider of data-driven insights and advanced analytics for the real estate industry. We leverage cutting-edge technologies to deliver valuable solutions that empower real estate professionals to make smarter, data-backed decisions. Our mission is to transform the real estate landscape by offering a suite of tools designed to enhance market analysis, valuation accuracy, and investment strategies.

About the Role:

We are seeking a Data Analyst (Product Support) with strong SQL expertise to join our team in the real estate technology industry. SQL will be your primary tool, and you will use it daily to extract, validate and analyse large datasets that drive our product. Beyond analytics, you will play a vital role in troubleshooting and investigating product issues, ensuring the accuracy and reliability of our data and reporting systems. You will work closely with product managers and engineers to identify, check and report bugs. This includes providing insights that directly enhance the platform's performance and value.

Key Responsibilities:

• Write, optimize and maintain complex SQL queries for extracting, analysing and validating large datasets.
• Use SQL-driven analysis to support product teams in identifying, investigating and reporting data-related issues and bugs.
• Perform data validation and quality checks through SQL to ensure product outputs are accurate and reliable.
• Collaborate with product managers and engineers to reproduce issues, fix and verify bug fixes using SQL checks.
• Build and maintain reporting dashboards and ad-hoc analyses, powered by SQL-based data extraction.
• Document SQL query logic, data processes and bug reports for cross-functional clarity.
  Provide timely SQL-based data support and troubleshooting to internal stakeholders (e.g. product, customer success and data engineering).

Qualifications & Requirements

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business or related field.
• Minimum 2 years of experience as a Data Analyst, preferably in the real estate or proptech industry.
• Strong proficiency and hands-on experience in SQL (PostgreSQL, Redshift, MySQL or similar).
• Experience working with large datasets and relational databases.
• Familiarity with bug tracking tools (e.g. Jira) and reporting workflows.
• Strong problem-solving and troubleshooting skills with keen attention to detail.
• Ability to communicate clearly and effectively with both technical and non-technical stakeholders.
• Experience with BI tools (e.g. Tableau, Power BI, Metabase) is a plus.
• Knowledge of the real estate domain and data standards is a strong advantage.

Key Responsibilities

• Gather data from systems, platforms, logs, and records.
• Clean and organize raw data to prepare it for analysis.
• Standardize data to ensure consistency.
• Assist in analyzing performance metrics.
• Generate monthly reports to compare efficiency and reliability.
• Support cost analysis to identify savings opportunities.
• Help map out current workflows.
• Highlight bottlenecks using basic data visualizations.
• Assist in testing or implementing digital tools.
• Help document current vs future-state processes as part of SOP updates.
• Prepare summary insights or dashboards for internal presentations.
• Work with different teams to align operational data.
• Attend transformation project meetings and provide data updates to stakeholders.

Key Requirements

• Degree/Masters Degree in Data Analytics, Business, Statistics, or related fields
• Strong proficiency in Excel; familiarity with SQL or Python is a plus.
• Exposure to ERP systems (SAP, Oracle, etc.) is an advantage.
• Attention to detail and ability to work with large data sets.
• Interest in supply chain and operations improvement.
• Team player with strong interpersonal skills.