Data Analyst

ADECCO PERSONNEL PTE LTD; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading recruitment firm in Singapore is seeking a Senior Data Analyst for a 12-month contract. The role involves partnering with business stakeholders, leading advanced analytics solution delivery, and creating high-impact dashboards. Candidates must have 5-7 years of experience in data analytics, strong skills in Python and SQL, and proficiency in visualization tools like Tableau or Power BI. Strong stakeholder management and leadership abilities are also essential. Interested applicants should send their resume to the provided email.

Qualifications

• 5–7 years of experience in data analytics, engineering, or analytics product development.
• Strong hands-on experience in Python and SQL.
• Advanced proficiency in visualization tools.

Responsibilities

• Act as a strategic partner to business stakeholders.
• Lead end-to-end delivery of advanced analytics solutions.
• Develop high-impact dashboards and self-service tools.

Skills

Data analytics

Python (pandas, numpy)

SQL

Data modeling

Visualization tools (e.g., Tableau, Power BI)

Stakeholder management

Tools

Tableau

Power BI

Git

Job description

The Opportunity

Adecco is working with a leading bank to find a 12months contract Senior Data Analyst

Department: COO/Data Hub
Team: Data Science and Advanced Analytics
Job Title: Senior Data Analyst

Key Responsibilities

• Act as a strategic partner to business stakeholders, shaping problem statements, defining solution approaches, and ensuring alignment with enterprise‑wide data initiatives.
• Lead end‑to‑end delivery of advanced analytics solutions, including data modelling, ETL/ELT workflows, feature engineering, and visualization.
• Develop high‑impact dashboards, analytics applications, and self‑service tools, ensuring usability, scalability, and performance.
• Conduct code reviews, enforce engineering standards, and oversee testing, documentation, and compliance with governance, risk, and security protocols.
• Drive the adoption of best practices in analytics engineering, data quality automation, DevOps, and agile methodologies.
• Collaborate with technology, architecture, and security teams to design solutions aligned with enterprise data strategy and technology standards.
• Mentor junior analysts, provide technical guidance, and lead knowledge‑sharing initiatives.
• Evaluate emerging tools, AI/ML capabilities, and data platforms to support continuous innovation.

Requirements

• 5–7 years of experience in data analytics, data engineering, or analytics product development, with strong hands‑on experience in Python (pandas, numpy, modular structuring) and SQL.
• Strong expertise in data modelling, analytical SQL patterns, performance tuning, and working with relational and cloud‑based data platforms.
• Advanced proficiency in visualization tools (e.g., Tableau, Power BI) with a track record of building enterprise‑grade dashboards.
• Experience designing scalable data pipelines, reusable analytics components, and production‑quality code.
• Strong communication and stakeholder management capabilities, with experience influencing senior business leaders.
• Proven ability to lead small teams or workstreams, manage delivery timelines, and ensure solution quality.

Advantageous Skills

• Experience with system design, cloud‑native architecture, security controls, and infrastructure fundamentals.
• Hands‑on exposure to CI/CD pipelines, Git workflows, and DevOps practices.
• Understanding of ML/AI workflows and practical application in business contexts.
• Experience in private banking or financial services, especially in analytics transformation.

Next Step

• Send your resume to [e-mail]
• All shortlisted candidates will be contacted