Data Analyst

TECHNOPALS CONSULTANTS PTE. LTD.; Singapore; On-site; USD 50,000 - 80,000; Full time

Job summary

An established industry player is seeking a data management professional to ensure high-quality data ingestion into their enterprise systems. The ideal candidate will have a solid background in data management and analytics, particularly within the investment and banking sectors. This role demands a meticulous individual with strong problem-solving skills who can engage effectively with various stakeholders. If you thrive in a dynamic environment and are eager to contribute to data quality initiatives, this opportunity is perfect for you.

Qualifications

• 2 to 7 years of experience in data management or analytics in investment/banking.
• Experience in SQL and Python is essential.

Responsibilities

• Ensure data quality meets business requirements.
• Involved in data management tasks, including validation and quality checks.

Skills

SQL

Python

Data Management

Data Analytics

Problem-Solving

Communication Skills

Collaboration Skills

Attention to Detail

Multi-tasking

Education

Degree in Computer Science

Degree in Information Technology

Job description

Mandatory Skills

· Possess a degree in Computer Science/Information Technology or related fields.

· 2 to 7 years of hands-on experience in data management or data analytics within investment and banking industry.

· Experience in SQL and Python.

· Confident and comfortable engaging with various business end users and stakeholders at all levels.

· Meticulous, with a keen eye for details, especially with numbers.

· Experience in data validation and correction tasks.

· Able to multi-task across various activity streams

· Strong problem-solving and troubleshooting skills.

· Strong communication and collaboration skills.

· Agile, fast learner and able to adapt to changes.

Skillsets (Good to have)

NA

Brief Job Description

Summary:

· The successful candidate will play an integral role in ensuring data ingested into enterprise system meets the stringent quality requirements required by business.

· He/she will be involved in various data management tasks, including unstructured data, data validation, implementing transformation logic and conducting data quality checks.