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Data Operations Analyst (E-commerce Data)

1Β 450 - 1Β 650€
Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
hybrid
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
junior
Английский
c1
Π‘Ρ‚Ρ€Π°Π½Π°
Bulgaria
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Operations Analyst (E-commerce Data) (SQL/BI): Building and validating e-receipt data extractors and analyzing large-scale digital transaction data with an accent on SQL, data quality, and e-commerce analytics. Focus on debugging extraction templates, investigating transactional anomalies, improving operational workflows, and collaborating with developers, analysts, and client-facing teams.

Location: Sofia, Bulgaria; hybrid model with 3 days working from home and 2 days from the office.

Salary: €1,450–€1,650 per month.

Company

hirify.global is a global consumer intelligence company providing retail data, advanced analytics, and consumer insights across more than 100 markets.

What you will do

  • Build and maintain data extractors for parsing e-receipts using proprietary markup language and RegEx.
  • Debug, fine-tune, and validate extraction templates with SQL and BI tools.
  • Perform data quality checks and investigate anomalies in transactional data.
  • Write and optimize SQL queries, build dashboards, and prepare reports for client-facing teams.
  • Identify automation opportunities and improve operational workflows and tools.
  • Collaborate with developers, analysts, and client-facing teams while maintaining clear documentation.

Requirements

  • Initial experience through internships or projects in data operations, analytics, or technology.
  • Basic SQL skills, including querying data, understanding table relationships, and interpreting complex queries.
  • Logical and analytical thinking, strong attention to detail, and effective communication skills.
  • Fluent English required.

Nice to have

  • Experience with Tableau, Power BI, Looker, or another BI tool.
  • Knowledge of e-commerce data, Snowflake, or Databricks.
  • Experience in QA or data validation.
  • Familiarity with HTML, XML, RegEx, scripting or markup languages, and agile environments.

Culture & Benefits

  • International, multicultural environment with opportunities for professional development and internal relocation.
  • Food vouchers worth €62, additional medical insurance, and life insurance.
  • Additional paid leave, volunteer time off, and an Employee Assistance Program.
  • Free LinkedIn Learning access.
  • Office close to the city center with convenient public transportation access.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’