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Davidkennedyrecruitment

Data Analyst

  • Seen live on Davidkennedyrecruitment's site today
  • Mid level
Pay
Not stated
Location
Bangkok, Thailand
Open for
12+ days
First seen
Oct 23, 2026
Apply on Davidkennedyrecruitment's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. Davidkennedyrecruitment's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Davidkennedyrecruitment, so its true age is longer.

Last checked Nov 4, 2026.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

David Kennedy Recruitment is working with a multinational financial services company specializing in online trading that is seeking to onboard a Data Analyst to join their team.

Position: Data Analyst

Location: Bangkok, Thailand

Work model: Hybrid

Employment type: full time.

RESPONSIBILITIES

  • Analyze business data across deposits, withdrawals, trading volumes, customer behaviour, IB/partner structures, promotions, bonuses, and other key commercial areas
  • Identify anomalies, unusual trends, data discrepancies, and potential business risks and investigate their root causes
  • Reconcile data across CRM, trading platforms, internal ledgers, and other systems to ensure accuracy and consistency
  • Build, maintain, and automate recurring daily, weekly, and monthly reports for management and business teams
  • Translate complex datasets into clear findings, insights, and recommendations for non-technical stakeholders
  • Investigate business questions using data, including customer behaviour, churn, promotion performance, and the impact of operational or policy changes
  • Proactively identify growth opportunities and areas for business improvement through data analysis
  • Work closely with IT and AI teams to identify additional data requirements, queries, and datasets
  • Document data sources, methodologies, assumptions, and findings to ensure transparency and reproducibility
  • Continuously improve analytical processes and reduce reliance on manual reporting.

REQUIREMENTS

  • Minimum 2 years of professional Data Analysis experience
  • Fluent in English both verbal and written
  • Strong SQL skills, including multi-table joins, window functions, and working efficiently with large datasets
  • Hands-on Python experience for data analysis using pandas, Polars, or similar tools
  • Strong analytical mindset with the ability to investigate anomalies and determine root causes
  • Ability to translate complex data into clear business insights and recommendations
  • Strong written and verbal communication skills, including presenting findings to non-technical stakeholders
  • Comfortable using AI tools such as ChatGPT, Claude, or similar solutions as part of analytical workflows
  • Strong ownership mentality with the ability to independently drive analytical tasks from question to conclusion
  • Experience within Forex/CFD, brokerage, fintech, payments, or another financial services environment is considered a strong advantage
  • Experience with financial reconciliation, dashboards, A/B testing, cohort analysis, or statistical analysis is considered an advantage
  • Knowledge of DuckDB, Polars, Grafana, Metabase, Looker Studio, or similar tools is considered an advantage.

OFFER

  • Hybrid working model
  • Work with real business and trading data that directly influences company decisions
  • Modern analytics environment using SQL, Python, Polars, DuckDB, PostgreSQL, Grafana, and AI-powered analytical tools
  • Opportunity to automate and improve existing reporting and analytical processes
  • Direct exposure to commercial, trading, customer, and financial data within the Forex/CFD industry
  • Career development towards broader ownership of company analytics and data standards
  • And many more!

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