Назад
3 часа назад

Data & Automation Operations Specialist (AI)

Формат работы
onsite
Тип работы
fulltime
Английский
c1
Страна
Kazakhstan
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TL;DR

Data & Automation Operations Specialist (AI): Structuring, reconciling, and cleaning messy multi-source datasets for U.S.-based clients with an accent on data quality, spreadsheet analysis, and AI-assisted automation. Focus on building simple internal tools, automating repetitive workflows, and solving unfamiliar operational data problems with minimal direction.

Location: On-site in Almaty, Kazakhstan; evening shift from 17:00–01:00 March–November and 18:00–02:00 November–March, Almaty time.

Company

GMY Consulting Group provides outsourced operational and business support services to U.S.-based companies across e-commerce, healthcare, insurance, creative media, and technology.

What you will do

  • Reconcile inconsistent data from spreadsheets, exports, and multiple systems into structured, reliable datasets.
  • Clean duplicate records, missing fields, mismatched formats, and other data quality issues.
  • Use AI coding assistants and automation tools to streamline data fetching, formatting, and repetitive operational work.
  • Build simple internal tools or dashboards to make data easier for clients and colleagues to use.
  • Communicate with U.S.-based clients through applications, email, and phone regarding data and operational tasks.
  • Learn client workflows and tools quickly while taking ownership of unfamiliar problems.

Requirements

  • Strong aptitude for structuring and reconciling messy, multi-file datasets.
  • Hands-on experience with AI coding or automation tools such as Claude Code, ChatGPT, or similar.
  • Fluent spoken and written English at C1 level.
  • Intermediate-to-advanced proficiency with MS Excel or Google Sheets, including formulas, structured tables, and pivoting data.
  • Detail-oriented, organized, dependable, and able to work with minimal direction.
  • Ability to work on-site in Almaty during the specified evening shift.

Nice to have

  • Exposure to scripting, SQL, or no-code/low-code automation tools.
  • Experience with personal or self-directed AI-assisted automation projects.

Culture & Benefits

  • Paid training on client workflows and tools from the first day.
  • Supportive, collaborative, and people-focused work environment.
  • Career development path toward Data Analyst and related roles.
  • Merit-based promotions and long-term opportunities.
  • Paid taxi ride home and performance bonuses.
  • Open to university students and provides international B2B experience.

Hiring process

  • Interview process includes a practical exercise using an AI coding tool.
  • The exercise involves structuring and analyzing a deliberately messy, multi-source dataset.

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