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Data Analyst (Fully Remote)

Bangkok, Thailand

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

What you’ll work on

Full posting
  • Cleanse unstructured data into usable datasets for analysis

  • Build data and feature aggregation pipelines for dashboard data sources

  • Visualize data and insights in BI tools such as Tableau, Power BI, or Data Studio

  • Use SQL to extract insights from large, complex data sets

  • Build tools that automate repetitive data requests

From the employer’s posting
Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights
Build data and feature aggregation pipeline to feed into the dashboard datasources.
Visualize data and insights with BI tools such as Tableau, Data Studio, Power BI.
Utilize strong database skills (SQL) to work with large, complex data sets to extract insights
Build tools for automating repetitive asks so that bandwidth can be freed for analytics

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's in a quantitative field such as Statistics, Math, Economics, or Computer Science
  • Advanced SQL, including analytical functions
  • Experience in data visualization
  • Ability to frame problem statements and structure analysis
  • Proven problem solving and debugging skills

Preferred experience

  • Ability to write R or Python is a plus.
Qualification wording
Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science)
Ability to write advanced SQL programming with analytical functions
Experience in data visualization with proven
Can frame the problem statements and structure analysis
Proven problem solving and debugging skills.
Ability to write R or Python is a plus.

Tools in this posting

  • Python
  • R
  • SQL
  • Metabase
  • Power BI
  • Tableau
Source — Tool mentions in context
- Proven problem solving and debugging skills. - Ability to write R or Python is a plus. - Statistical knowledge is a plus
- Ensure that data flows smoothly from source to destination so that it can be processed - Utilize strong database skills (SQL) to work with large, complex data sets to extract insights - Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
- Analytical and logical thinking - Ability to write advanced SQL programming with analytical functions - Proven problem solving and debugging skills.
- Build data and feature aggregation pipeline to feed into the dashboard datasources. - Visualize data and insights with BI tools such as Tableau, Data Studio, Power BI. (Experience with Metabase is a plus) - Collaborate with product manager and developer team to help them come up with actionable, high-impact insights across product lines and functions

Posting record

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Status in our records
Live
First seen by us
Jun 2, 2026 · 137 days ago
Recorded sightings
44
Last seen by us
Oct 17, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on uppass.freshteam.com. The employer’s form will show what is required.

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Job description

View original posting ↗

UpPass is No-code Verification and Onboarding Workflow that helps Financial Institutions, Fintech, Micro Finance, and Insurance build their customer onboarding flow that prevent identity frauds and extract various verification data within 10 clicks. 


Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting sales, marketing, and product managers build data-driven processes. Your role will involve driving business decisions and product roadmap through ad-hoc analysis, story telling and dashboard visualization. 


Responsibilities:

  • Ensure that data flows smoothly from source to destination so that it can be processed
  • Utilize strong database skills (SQL) to work with large, complex data sets to extract insights
  • Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
  • Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
  • Build tools for automating repetitive asks so that bandwidth can be freed for analytics
  • Build data and feature aggregation pipeline to feed into the dashboard datasources.
  • Visualize data and insights with BI tools such as Tableau, Data Studio, Power BI. (Experience with Metabase is a plus)
  • Collaborate with product manager and developer team to help them come up with actionable, high-impact insights across product lines and functions
  • Work closely with top management to prioritize information and analytic needs


Requirements:

  • Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science), preferably with work experience of over 2 years.
  • Can frame the problem statements and structure analysis
  • Experience in data visualization with proven 
  • Familiar with database technologies and tools, data warehousing, transformation and processing. Work experience with real data for product analytics, customer insights, business and market analysis will be advantageous.
  • Analytical and logical thinking
  • Ability to write advanced SQL programming with analytical functions
  • Proven problem solving and debugging skills.
  • Ability to write R or Python is a plus.
  • Statistical knowledge is a plus
Source details

View original posting ↗

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Pay

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Location & working pattern

Bangkok, Thailand

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