Data Analyst

Bangkok, Thailand

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

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What you’ll work on

Full posting

Document data sources in the enterprise data catalog with metadata and lineage
Develop aggregations and algorithms for reporting and analytics
Make minor changes to visualization apps and reporting dashboards
Build analytical tools that give insights into key business KPIs
Work with data engineers to optimize pipelines for scalability

From the employer’s posting

Document data sources in enterprise data catalog with metadata, lineage and classification information

Develop aggregations and algorithms needed for reporting and analytics with low level complexity

Implement minor changes to existing data visualization applications, reporting dashboards

Build analytical tools to provide actionable insights into key business KPIs

Work with data engineers to optimize pipelines for scalability and data delivery

What you’ll bring

All qualifications

Core experience

3+ years of hands-on experience with a data science background
Background in SQL, databases and/or data science, or BS/MS in software engineering, computer science, or mathematics
Some programming skills in Java, Python and SQL
Hands-on experience with cloud, in-memory, RDBMS and NoSQL database systems
Strong analytical skills and ability to communicate findings to stakeholders

Qualification wording

3+ years' hands-on experience with a data science background

Background in SQL, databases and/or data science OR

Some programming skills in Java, Python and SQL

Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google)

Strong analytical skills with ability to research, assess and develop observations/findings

Tools in this posting

Java
Python
SQL
AWS
Azure
DynamoDB
MongoDB
NoSQL
Oracle
SQL Server

Source

- 3+ years' hands-on experience with a data science background - Some programming skills in Java, Python and SQL - Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)

- Work with data engineers to optimize pipelines for scalability and data delivery - Background in SQL, databases and/or data science OR - BS/MS in software engineering, computer science, mathematics

- Some programming skills in Java, Python and SQL - Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB) - Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc

Posting record

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Status in our records: Live
First seen by us: Sep 1, 2026 · 59 days ago
Recorded sightings: 286
Last seen by us: Oct 30, 2026

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Job description

View original posting ↗

Document data sources in enterprise data catalog with metadata, lineage and classification information
Develop aggregations and algorithms needed for reporting and analytics with low level complexity
Implement minor changes to existing data visualization applications, reporting dashboards
Document modifications to reporting applications based on modifications applied.
Comprehend and adhere to all data security policies and procedures
Create data tools for analytics and data scientist team members
Build analytical tools to provide actionable insights into key business KPIs, etc
Work with data engineers to optimize pipelines for scalability and data delivery

Background in SQL, databases and/or data science OR
BS/MS in software engineering, computer science, mathematics
3+ years' hands-on experience with a data science background
Some programming skills in Java, Python and SQL
Clear hands-on experience with database systems - Cloud technologies (e.g. AWS, Azure, Google), in-memory database systems (e.g. HANA, Hazel cast, etc) and other database systems - traditional RDBMS (e.g. Teradata, SQL Server, Oracle), and NoSQL databases (e.g. Cassandra, MongoDB, DynamoDB)
Working knowledge with data and analytics framework supporting data lakes, warehouses, marts, reporting, etc
Experience with data tools for visualizations, analytics and reporting
Strong analytical skills with ability to research, assess and develop observations/findings
Ability to communicate findings, approaches to cross functional teams and stakeholders

Source details

View original posting ↗

Source notes

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Pay

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Location & working pattern

Bangkok, Thailand

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com ↗Read the full description ↓

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