π Core Information
- Job Title: Content Analyst
- Company: LSEG (London Stock Exchange Group)
- Location: THA-Bangkok-U Chu Liang, Thailand
- Job Type: Full-Time
- Category: Financial Services
- Date Posted: April 10, 2025
- Experience Level: 2-5 years
- Remote Status: On-site
π Job Overview
Key aspects of this role include:
- Processing and maintaining data accurately onto databases using technical and financial knowledge.
- Communicating and liaising with internal and external departments for data query resolution.
- Ensuring data quality, accuracy, timeliness, and completeness per company standards.
- Improving work efficiencies through automation and enhancing usage of available tools.
- Supporting specific projects as assigned by the manager.
ASSUMPTION: This role requires a strong focus on data accuracy and timely processing, with a significant portion of the work involving communication with various departments and external parties.
π Key Responsibilities
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Process and maintain data accurately and in a timely manner onto databases using technical and financial knowledge.
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Communicate and liaise with internal and external departments for resolution of data queries, including direct contact with customers. Has expertise in data-related issues.
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Solid knowledge of financial regulations and market practices/conventions in relevant markets.
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Improve efficiencies in work practices by implementing automation where possible.
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Enhances usage of available tools/support to best of advantage to maintain/improve content quality during daily operations.
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Ensures data quality, accuracy, timeliness, and completeness per company standards for their covered product/market.
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Test new database/application releases where appropriate, providing expert user feedback.
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Supports specific projects, as assigned by the manager.
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May be Six Sigma green belt trained and expected to work on Six Sigma projects.
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Adhere to change control procedures, Content Operations standards, and current data policies and procedures.
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Deliver high productivity and quality data.
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Proactively identify and resolve data problems.
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May train or support less experienced team members.
ASSUMPTION: The role involves a mix of data processing, communication, and project support tasks, with a strong emphasis on data quality and accuracy.
π― Required Qualifications
- Education: Bachelor's degree in Finance, Economics, or a related field.
- Experience: 2-5 years of experience in a similar role, with a strong background in data processing and financial markets.
- Required Skills:
- Proficient in data processing and analysis tools.
- Strong financial knowledge and understanding of market practices.
- Excellent communication skills, both written and verbal.
- Proficient in English.
- Ability to work independently and in a team environment.
- Strong problem-solving skills.
- Preferred Skills:
- Six Sigma green belt certification.
- Familiarity with LSEG's systems and processes.
- Experience working in a financial services environment.
ASSUMPTION: Candidates with a strong background in data processing, financial markets, and excellent communication skills will be well-suited for this role.
π° Compensation & Benefits
- Salary Range: THB 400,000 - 600,000 per year (based on industry standards for similar roles in Bangkok)
- Benefits:
- Healthcare
- Retirement planning
- Paid volunteering days
- Wellbeing initiatives
- Working Hours: 40 hours per week, with flexible working hours and overtime as needed.
ASSUMPTION: The salary range is estimated based on industry standards for similar roles in Bangkok, with a consideration for the candidate's experience level.
π Applicant Insights
π Company Context
- Industry: Financial Services
- Company Size: 10,001+ employees
- Founded: 1698 (as London Stock Exchange)
- Company Description: LSEG is a leading global financial markets infrastructure and data provider, driving financial stability, empowering economies, and enabling customers to create sustainable growth. Their purpose is the foundation on which their culture is built, with values of Integrity, Partnership, Excellence, and Change.
- Company Specialties: Capital Markets, Post-Trade Services, Information Services, and Technology Services.
π Role Analysis
- Career Level: Mid-level
- Reporting Structure: Reports directly to the Content Operations Manager.
- Work Arrangement: On-site, with potential for hybrid work arrangement in the future.
- Growth Opportunities: Opportunities for professional development, including Six Sigma training and project-based work.
π Location & Work Environment
- Office Type: Modern, collaborative office space in THA-Bangkok-U Chu Liang.
- Office Location: 10 U Chu Liang Road, THA-Bangkok-U Chu Liang, Thailand 10500
- Geographic Context: Bangkok is a bustling city with a mix of traditional and modern culture, offering a wide range of dining, entertainment, and shopping options.
- Work Schedule: Standard work hours are from 8:30 AM to 5:30 PM, with a one-hour lunch break.
πΌ Interview & Application Insights
- Typical Process: Online application submission β Phone/Video screen β On-site interview β Final decision
- Key Assessment Areas: Data processing skills, financial knowledge, communication skills, problem-solving abilities, and cultural fit.
- Application Tips:
- Tailor your resume to highlight relevant data processing, financial, and communication skills.
- Prepare examples of how you've handled data-related challenges and improved work efficiencies.
- Research LSEG's values and be prepared to discuss how your personal values align with theirs.
π οΈ Tools & Technologies
- Database management systems (e.g., SQL, Oracle)
- Financial data analysis tools (e.g., Bloomberg, Refinitiv)
- Collaboration tools (e.g., Microsoft Office, Slack)
- Project management tools (e.g., Asana, Jira)
π Cultural Fit Considerations
- Company Values: Integrity, Partnership, Excellence, Change
- Work Style: Collaborative, innovative, and data-driven, with a focus on continuous improvement.
- Self-Assessment Questions:
- How do you demonstrate integrity in your daily work?
- Can you provide an example of a time when you worked collaboratively to solve a complex problem?
- How do you approach continuous learning and improvement in your role?
β οΈ Potential Challenges
- Working with large datasets and tight deadlines.
- Communicating with diverse stakeholders, including internal departments and external customers.
- Adapting to changes in processes, systems, and data policies.
π Similar Roles Comparison
- Content Analyst vs. Data Analyst: Both roles involve data processing and analysis, but the Content Analyst role focuses more on data accuracy and timeliness, while the Data Analyst role involves more in-depth data analysis and interpretation.
- Content Analyst vs. Data Entry Clerk: The Content Analyst role requires a higher level of data processing skills, financial knowledge, and communication skills than the Data Entry Clerk role, which typically involves more basic data entry tasks.
π Sample Projects
- Developing and implementing a data validation process to improve data accuracy and timeliness.
- Collaborating with internal departments to resolve data discrepancies and improve data quality.
- Supporting a project to migrate data from an outdated system to a new database.
β Key Questions to Ask During Interview
- Can you describe a typical day in this role?
- How does this role support the company's overall goals and objectives?
- What opportunities are there for professional development and growth within the team and the company?
- How does the team collaborate and communicate to ensure data accuracy and timeliness?
- What is the company's approach to work-life balance, and how is it supported in this role?
π Next Steps for Applicants
To apply for this position:
- Submit your application through this [link](https://lseg.wd3.myworkdayjobs.com/Careers/job/THA-Bangkok-U-Chu-Liang/Content-Analyst_R0103206-1).
- Customize your resume to highlight relevant data processing, financial, and communication skills.
- Prepare a cover letter explaining your interest in the role and how your skills and experience make you a strong fit.
- Prepare examples of how you've handled data-related challenges and improved work efficiencies.
- Follow up with the hiring manager one week after submitting your application to express your interest in the role.
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.