IT Business Intelligence Analyst (MNC / 5 days / Central)

Borr Drilling; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading company is seeking a skilled Business Intelligence Analyst to join their team in Singapore. The successful candidate will leverage data analysis, visualization tools, and maintain robust analytical systems to drive business insights and improvements. With a strong emphasis on collaboration, this role requires excellent analytical skills and the ability to communicate findings effectively to stakeholders. The position offers a dynamic working environment with opportunities for professional growth.

Qualifications

• Min. 3-4 years of experience in data mining or similar analytical roles.
• Min. Bachelor's degree in Mathematics, Computer Science, Statistics, or related field.
• Proficiency in programming with frameworks such as ETL, XML, JavaScript, Python, SQL.

Responsibilities

• Design, build, and maintain advanced analytics systems.
• Collect, clean, and analyze data from various platforms.
• Develop dashboards and reports that present performance indicators.

Skills

Data Mining

Data Analysis

Data Visualization

Programming

Statistical Analysis

Education

Bachelor's degree in Mathematics

Bachelor's degree in Computer Science

Bachelor's degree in Statistics

Tools

Excel

Tableau

Power BI

SPSS

SAS

Python

SQL

ETL

Job description

Company Profile

Our client is an IT and engineering MNC that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with engineers globally supporting projects. They have an international presence in over 100 countries and are looking for a skilled Business Intelligence Analyst to join their team and contribute to their ongoing success.

Location: AMK

Working hours: Monday to Friday, 8.30am to 6.00pm

Responsibilities:

• Design, build, and maintain advanced analytics systems that simplify complex problems through structured frameworks.
• Utilize a range of data analysis tools and techniques to collect, process, and visualize data, helping business stakeholders identify trends, improvement areas, and make informed decisions.
• Validate and prepare data from multiple sources to ensure it is ready for analysis.
• Transform data into the appropriate structure for qualitative and quantitative analysis and generate relevant reports.
• Support the execution of full project lifecycles.
• Work closely with stakeholders and business leaders to gather and understand business needs and translate them into data requirements.
• Collect, clean, and analyze data from various platforms, ensuring accuracy, quality, and integrity in reporting.
• Develop dashboards, visualizations, and reports that clearly present performance indicators and business insights.
• Detect patterns and trends using analytical techniques to provide actionable recommendations for process improvements and enhanced customer experiences.
• Collaborate with Digital Business Partners and stakeholders to turn business needs into digital initiatives and technology projects.
• Assist in planning and managing project activities including timelines, goals, resources, and budgets to ensure successful and timely delivery.

Requirements:

• Min. 3–4 years of experience in data mining or similar analytical roles.
• Min. Bachelor's degree in Mathematics, Computer Science, Statistics, or a related field.
• Strong analytical capabilities in data mining, evaluation, and visualization.
• Experience in technical documentation, including the creation of queries, reports, and presentations.
• Proficiency in programming and working with frameworks such as ETL, XML, JavaScript, Python, SQL, HTML/CSS.
• Hands-on experience with statistical analysis using tools such as Excel, SPSS, SAS, Tableau, Power BI, and Power Query.
• Preferred certifications: Certified Business Intelligence Professional (CBIP) and Microsoft Power BI Certification.
• Excellent communication and presentation skills, with the ability to translate technical data into insights for non-technical stakeholders.
• Strong collaboration and stakeholder engagement skills to identify opportunities for continuous improvement and added business value.
• Technically adept in using digital tools like Generative AI, data automation platforms, RPA (e.g., UiPath), and Microsoft productivity applications.

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312