Data Extraction & Operations Analyst

TL;DR

Data Extraction & Operations Analyst (Data Analytics): Building and optimizing data extractors for U.S. e-commerce data with an accent on SQL-based validation and process automation. Focus on ensuring data integrity, investigating anomalies, and collaborating with cross-functional teams to improve operational workflows.

Location: Must be based in Sofia, Bulgaria (Hybrid: 3 days remote, 2 days in office).

Salary: Up to €22,400 yearly.

Company

hirify.global is a global consumer intelligence company delivering comprehensive insights into consumer buying behavior through advanced analytics and state-of-the-art platforms.

What you will do

• Build and debug data extractors for e-receipts using proprietary markup and RegEx.
• Validate data accuracy using SQL and BI tools like Tableau or Power BI.
• Investigate anomalies within large-scale U.S. retail datasets.
• Optimize SQL queries and Databricks notebooks for efficient data analysis.
• Identify opportunities for automation and support strategic project initiatives.
• Maintain clear operational and project documentation.

Requirements

• 1–2 years of experience in data operations, analytics, or tech-related roles.
• Solid SQL skills including joins, subqueries, and CTEs.
• Hands-on experience with BI tools such as Tableau or Power BI.
• Fluency in English.
• Logical, analytical mindset with strong attention to detail.
• Ability to work in a hybrid model in Sofia, Bulgaria.

Nice to have

• Knowledge of e-commerce industry trends.
• Familiarity with Snowflake or Databricks.
• Previous experience in QA or data validation.
• Experience working in agile environments.

Culture & Benefits

• Hybrid work model with 3 days remote per week.
• Additional medical insurance including outpatient and inpatient care.
• Life insurance and food vouchers.
• Access to LinkedIn Learning platform.
• Additional paid leave of 3 days for perfect attendance.
• International environment with opportunities for internal development.