Business Intelligence Analyst at EPOS

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Business Intelligence, Dashboarding, Reporting, Data Management, Data Governance, Analytical Thinking, Problem Solving, Data Modelling, Reporting Automation, Dashboard Optimisation, Communication, Collaboration, Python, R

Industry

Financial Services

Description

About EPOS Backed by Ant International (a global leader in digital payments, digitisation, and financial technology solutions), EPOS is a leading Point-of-Sale (POS) digital solutions provider headquartered in Singapore. Supporting Ant International's mission to empower SMEs, EPOS serves as the central hub of its global merchant payment services provider, Antom, delivering integrated O2O digital, payment, and banking solutions to SMEs worldwide—empowering Every Point Of Success in their business growth. With a growing presence across Southeast Asia, we’re looking for passionate individuals to join our diverse and driven teams. Be part of our journey as we expand to create meaningful, impactful changes for businesses around the world. Role Overview We are looking for a Business Intelligence (BI) Analyst to transform data into actionable insights that support strategic, commercial, and operational decision-making. This role will partner closely with business stakeholders across functions to design dashboards, analyse performance trends, and build scalable reporting solutions that drive impact. The ideal candidate is analytical, business-minded, and comfortable working with large datasets while translating complex data into clear stories for senior stakeholders. Key ResponsibilitiesData Analysis & Insights Analyse large and complex datasets to identify trends, patterns, and performance drivers. Translate business questions into structured analytical approaches and insights. Provide actionable recommendations to support business strategy, growth, and efficiency. Dashboarding & Reporting Design, build, and maintain dashboards and reports using BI tools (e.g. Tableau, Power BI, Looker). Ensure data accuracy, consistency, and relevance across all reporting outputs. Develop self-service dashboards to enable data-driven decision-making across teams. Stakeholder Partnership Work closely with cross-functional teams (e.g. Sales, Marketing, Operations, Finance, Product) to understand business needs. Present insights clearly to both technical and non-technical stakeholders, including leadership. Act as a trusted data partner, supporting both ad-hoc analysis and long-term reporting needs. Data Management & Governance Collaborate with data engineering team to improve data pipelines, data models, and reporting efficiency. Support data quality initiatives and promote best practices in data usage. Experience & Skills ● Bachelor’s degree in Data Analytics, Business, Computer Science, Statistics, or a related field ● Minimum 3 years of experience in Business Intelligence, Data Analytics, or a similar role ● Strong SQL skills and experience working with relational databases ● Hands-on experience with BI tools (e.g. Tableau, Power BI, Looker, or equivalent) ● Solid understanding of business metrics, KPIs, and performance analysis Technical & Analytical ● Strong analytical thinking and problem-solving skills ● Experience with data modelling, reporting automation, and dashboard optimisation ● Familiarity with Python or R is an advantage (but not mandatory) Communication & Collaboration ● Ability to communicate insights clearly and confidently to diverse stakeholders ● Comfortable working in a fast-paced, cross-functional environment ● Detail-oriented with a strong sense of ownership and accountability

Responsibilities

The Business Intelligence Analyst will analyze large datasets to identify trends and provide actionable insights to support business strategies. They will design and maintain dashboards and reports while collaborating with cross-functional teams to meet business needs.