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Business Intelligence Analyst
Job ID

Posted
23-Oct-2025
Service line
Corporate Segment
Role type
Full-time
Areas of Interest
Data & Analytics
Location(s)
Kuala Lumpur - Wilayah Persekutuan Kuala Lumpur - Malaysia
**Location:**
+ CBRE KL BSO, Bangsar South
**About the Role:**
We are seeking a highly driven and experienced Business Analyst to join our high-performing team. In this pivotal role, you will be instrumental in driving operational efficiency and providing data-driven insights through your expertise in data analytics and process improvement.
**What You'll Do:**
Data Analysis & Reporting:
+ Gather, cleanse, transform, and analyse complex datasets from diverse sources.
+ Design, develop, and maintain the dashboard.
+ Collaborate with business users to understand their reporting needs
+ Identify key metrics, patterns, and actionable insights within the data.
Process Improvement & Continuous Improvement:
+ Identify opportunities to optimize and standardize the current business processes.
+ Apply process improvement methodologies (e.g., ESSA) and a continuous improvement mindset.
+ Develop, propose, and implement process improvement initiatives.
Stakeholder Engagement:
+ Partner with stakeholders across different departments to understand their needs and challenges.
+ Communicate analytical findings and process improvement recommendations.
+ Facilitate workshops and discussions to gather requirements and drive alignment.
**What You'll Need:**
Education & Experience:
+ Bachelor's degree in business administration, Finance, Economics, Data Science, or a related quantitative field (Master's degree is a plus).
+ Min. 2 years of experience in an analytical role
+ Proven ability to identify, lead, and implement successful process improvement initiatives.
Technical Skills:
+ Proficiency in data analysis and visualization tools (e.g., Power Bi, Tableau).
+ Advanced working knowledge of Microsoft Excel, PowerPoint, and Smartsheet.
+ Experience in developing solutions using VBA is a plus.
+ Familiarity with data integration tools (e.g., Alteryx, Savant) is advantageous.
Soft Skills:
+ Process improvement or continuous improvement mindset.
+ Excellent communication (written and verbal) skills.
+ Strong analytical and problem-solving skills.
+ Strong attention to detail.
+ Ability to manage multiple priorities.
**Why CBRE**
When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.
**Applicant AI Use Disclosure**
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

**Analytics Consultant**
Join a team where your work makes a real impact on the business - and where your analytical and technical skills will grow alongside pioneering technology. In this role, you'll gain hands-on experience, contribute to high-impact projects, and help drive innovation through data-driven solutions, automation, and process improvements.
**What You'll Do**
As a key member of our team, you will:
+ Collaborate with cross-functional teams to translate business needs into clear, actionable data requirements.
+ Turn ambiguous requests into measurable insights with a strong focus on accuracy and clarity.
+ Analyze and recommend improvements to data setup and maintenance processes to drive efficiency.
+ Tackle strategic business challenges by delivering actionable insights through data analysis, using a range of technologies and analytical methods.
+ Design, develop, and implement custom automation solutions to optimize reports and processes.
+ Leverage intelligent automation tools including (but not limited to) Power BI, Power Query, Power Automate, Power Apps, and Power Virtual Agents.
+ Partner with process owners to map, validate, and refine business processes.
+ Conduct end-to-end validations to ensure data integrity and business alignment.
+ Apply design standards and performance best practices to enhance dashboard usability and clarity.
+ Resolve data conflicts by providing domain expertise and determining appropriate values.
+ Integrate data from multiple sources to deliver accurate and meaningful outputs.
+ Create user guides, documentation, and training materials to support adoption and long-term sustainability.
+ Lead and contribute to both regional and global projects.
**Who You Are**
You are a forward-thinking, curious, and solutions-oriented professional with a passion for data analytics and continuous improvement. You enjoy solving complex problems, collaborating with others, and finding smarter ways to work through innovation and automation.
**Required Qualifications:**
+ Bachelor's degree in Business, Economics, Math, Engineering, Analytics, or equivalent work experience. An advanced degree is a plus.
+ Minimum 2 years of advanced reporting or programming experience with SQL or Snowflake.
+ At least 1 year of hands-on experience with Tableau and/or Power BI, with strong knowledge of data optimization, visual design, and dashboard development.
+ Proficiency in MS Excel.
+ Strong technical aptitude to understand system issues, data sources, and touchpoints.
+ Problem-solving mindset with a solution-driven approach.
+ Excellent communication skills with the ability to adapt your message to different audiences (team members, stakeholders, and senior leadership).
+ Comfortable testing and piloting new technologies and evaluating their fit for the broader team.
**Preferred Qualifications:**
+ Experience in Supply Chain, Procurement, or Customer Operations environments.
+ Led or contributed significantly to at least one large-scale project.
+ End-to-end experience implementing automation solutions using intelligent automation tools (e.g., Robocorp RPA, OCR, AI, ML, APIs, SQL, Python).
+ Strength in key competencies such as:
+ Managing Ambiguity
+ Nimble Learning
+ Collaboration
+ Effective Communication
**Why Emerson**
At Emerson, we believe in creating a workplace where every employee feels valued, included, and empowered. Diversity of thought, background, and experience fuels innovation - and we're committed to building a culture of collaboration, continuous learning, and shared success.
We support our employees both professionally and personally, offering:
+ Competitive benefits and comprehensive medical coverage
+ Flexible work schedules and a strong emphasis on work-life balance
+ Career development opportunities and resources
+ Global employee resource groups and volunteering initiatives
+ A culture that prioritizes equity, inclusion, and positive social impact
+ We are united by our values and driven by our purpose to leave the world a better place.
**Requisition ID** :
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

**Position:**
Business Intelligence Analyst
**Job Description:**
**What we're looking for:**
+ Overall 10 years of experience in Industry including 6+Years of experience as developer using Databricks/Spark Ecosystems.
+ Hands on experience on Unified Data Analytics with Databricks, Databricks Workspace User Interface, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL.
+ Good understanding of Spark Architecture with Databricks, Structured Streaming. Setting Microsoft Azure with Databricks, Databricks Workspace for Business Analytics, Manage Clusters In Databricks, Managing the Machine Learning Lifecycle
+ Hands on experience Data extraction (extract, Schemas, corrupt record handling and parallelized code), transformations and loads (user - defined functions, join optimizations) and Production (optimize and automate Extract, Transform and Load)
**TECHNICAL SKILLS**
+ Spark Data Frame API
+ Python for Data Science
+ Spark Programming
+ SQL for Data Analysis
+ Simplify Data analysis With Python
+ Manage Clusters Databricks
+ Databrick Administration
+ Data Extraction and Transformation and Load
+ Implementing Partitioning and Programming with MapReduce
+ Setting up Azure Databricks Account
+ Linux Command
**What you'll be doing:**
+ Experience in developing Spark applications using Spark-SQL in **Databricks** for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data to uncover insights into the customer usage patterns.
+ Extract Transform and Load data from sources Systems to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Data ingestion to one or more Azure **services (Azure Data Lake, Azure Storage, Azure SQL, Azure DW)** and processing the data in **Azure Databricks**
+ Develop Spark applications using pyspark and spark SQL for data extraction, transformation, and aggregation from multiple file formats for analyzing and transforming the data uncover insight into the customer usage patterns
+ Hands on experience on developing SQL Scripts for automation
+ **R** esponsible for estimating the cluster size, monitoring, and troubleshooting of the Spark databricks cluster
+ Ability to apply the spark **DataFrame API** to complete Data manipulation within spark session
+ Good understanding of Spark Architecture including spark core, **spark SQL** , DataFrame, Spark streaming, Driver Node, Worker Node, Stages, Executors and Tasks, Deployment modes, the Execution hierarchy, fault tolerance, and collection
+ Collaborate with delivery leadership to deliver projects on time adhering to the quality standards
+ Contribute to the growth of the Microsoft Azure practice by helping with solutioning for prospects
+ Problem-solving skills along with good interpersonal & communication skills
+ Self-starter who can pick up any other relevant Azure Services in the Analytics space
**What We Are Looking For**
+ Bachelor's Degree in IT relevance field
+ Minimum of 6-8 years of related experience;
+ Excellent verbal and written communication and negotiations skills.
+ Ability to build good relationship with internally with cross function teams.
+ Proactive and strategic mindset
+ Resilience, energetic and positive attitude
**What's In It For You**
At Arrow, we recognize that financial rewards and great benefits are important aspects of an ideal job. That's why we offer competitive financial compensation, including various compensation plans, and a solid benefits package.
+ Medical Insurance
+ Life Insurance
+ Year-end bonus
+ Performance Bonus
+ 5-Day Work Week
+ Growth Opportunities
+ And more!
**About Arrow**
Arrow Electronics, Inc. (NYSE: ARW), an award-winning Fortune 154 and one of Fortune Magazine's Most Admired Companies. Arrow guides innovation forward for over 220,000 leading technology manufacturers and service providers. With 2024 sales of USD $27.9 billion, Arrow develops technology solutions that improve business and daily life. Our broad portfolio that spans the entire technology landscape helps customers create, make and manage forward-thinking products that make the benefits of technology accessible to as many people as possible. Learn more at .
Our strategic direction of guiding innovation forward is expressed as Five Years Out, a way of thinking about the tangible future to bridge the gap between what's possible and the practical technologies to make it happen. Learn more at .
For more job opportunities, please visit Malaysia (Jalan Sultan Ahmad Shah)
**Time Type:**
Full time
**Job Category:**
Information Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.

**Change the world. Love your job.**
**About the job:**
As an Interns in Smart Manufacturing Automation (SMA) and Automation team, you will support the team in driving automation and integration efforts across our manufacturing processes. We have several openings that will provides the opportunity to work closely with experienced engineers in real factory settings. You will be involved in hands-on projects related to system integration, automation flow design, and data analysis. Interns will gain exposure to Lights Off manufacturing concepts, system architecture development, and the transition from manual to automated operations.
**Location**
+ Kuala Lumpur & Malacca, Batu Berendam
**Available Internship Roles : (Minimum Requirement: Pursuing a Bachelor's Degree)**
1. Artificial Intelligence/Automation Engineer
2. Mechatronic/Mechanical Engineer Intern
3. Data Analytics/Data Scientist Intern
**Responsibilities may include, but are not limited to** :
+ Support Automation Engineers and Managers in implementing "Lights Off" processes at Wafer Bump (WB) and Die Bond (DB) operations
+ Assist in equipment and system integration
+ Help with system setup and parameter fine-tuning
+ Support studies and analysis for converting manual processes to automated flows
+ Participate in automation pilot runs, monitor performance, and collect engineering data
+ Track progress and key project deliverables
+ Assist in preparing engineering documentation and reports
+ Provide hands-on engineering support where needed
+ Collaborate with engineers in designing automation flow and hardware
+ Support in creating and improving system architecture for automation solutions rate with cross-functional teams and domain experts to identify opportunities for AI integration in workflows.
**Why TI?**
+ Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI ( Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
**Minimum Requirements:**
+ Currently pursuing Master or Bachelor in Electrical/Electronic or Mechanical Engineering, Mechatronic Engineering or Computer Science Engineering
+ Minimum Cumulative 3.3/4.0 GPA
+ Note: Please attach your university internship form (if applicable) and include your internship start and end dates in your resume when submitting your application
**Preferred Qualifications:**
+ Demonstrated strong analytical and problem-solving skills
+ Strong verbal and written communication skills
+ Ability to work in teams and collaborate effectively with people in different functions
+ Strong time management skills that enable on-time project delivery
+ Demonstrated ability to build strong, influential relationships
+ Ability to work effectively in a fast-paced and rapidly changing environment
+ Ability to take the initiative and drive for results
**ECL/GTC Required:** Yes

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Managing Consultant, Advisors & Consulting Services, Performance Analytics/Senior Data Scientist
Overview
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants.
The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives.
Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience:
and Responsibilities
Client Impact
- Lead client engagements across a range of industries and problem statements
- Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value
- Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness
Team Collaboration & Culture
- Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members' roles and skills
- Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels
- Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital
- Provide on-the-job training, coaching, and mentorship to junior consultants
All About You
Basic qualifications
- Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc.
- Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc.
- Experience coaching, leading, and managing technical teams across multiple projects
- Experience managing key client relationships
- Knowledge of business KPIs, financials and organizational leadership
- Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities
- Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations
- Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI)
- Experience building, managing, and maintaining database structures to support analysis
- Advanced Word, Excel, and PowerPoint skills
- Ability to manage multiple tasks and clients in a fast-paced, deadline-driven environment
- Ability to communicate effectively in English and the local office language (if applicable)
- Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs
Preferred qualifications
- Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark
- Experience generating new knowledge or creating innovative solutions for a firm
- Relevant industry expertise
- Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models
- Experienced in building interactive web applications and demos to showcase the capabilities of GenAI models to stakeholders, gather feedback, and validate solutions quickly is a plus
- Master's degree with relevant specialization such as advanced analytics, big data, or mats/ stats discipline
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.