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# BI/Data Analyst

- **Company:** SEARADAR
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €18,000.0 - €24,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, BigQuery, Data Warehousing, Statistical Hypothesis Testing, Python (Programming Language), PostgreSQL, NumPy, Power BI, SQL Databases, Tableau (Software), Google Data Studio, Pandas, Google Bigquery
- **Published:** May 19, 2026
- **Apply:** https://www.opcionempleo.com/jobad/es842d246bdbee241e98b8f6a28031558d

## About the Role

* 2-3 years of experience as a BI / Data Analyst
 * Strong experience with SQL-based data warehouses (especially BigQuery)
 * Confident with Python for data analysis
 * Comfortable working with BI tools and building dashboards from scratch
 * Solid understanding of business metrics (ROI, Gross Margin, etc.)
 * Strong in Google Sheets (Apps Script is a plus)
 * Able to explain complex data in a simple way to non-technical teams
 * Understand statistical significance, hypothesis testing, and A/B testing
 * Detail-oriented, proactive, and able to work independently
 * Fluent in Russian

## Description

We're looking for a BI / Data Analyst who will help us turn data into clear insights and better decisions.
In this role, you'll work closely with product, marketing, operations, and finance teams to understand what's happening in the business - and more importantly, why. You'll build dashboards, run analyses, and help us shape a more data-driven culture.
This is a hands-on role with real impact: your work will directly influence how we grow.
Tasks
What you'll do

 * Build and maintain dashboards and automated reports (Looker Studio, Tableau, Power BI)
 * Turn complex datasets into clear, actionable insights
 * Monitor key metrics and share regular performance updates
 * Perform ad-hoc analyses to uncover trends, anomalies, and growth opportunities
 * Calculate and forecast key business metrics (run rate, margins, ROI)
 * Design and analyze A/B tests to support product and business decisions
 * Work with cross-functional teams (Marketing, Operations, Finance) to define data needs
 * Ensure data accuracy through validation and cleaning
 * Identify gaps in data and suggest improvements in tracking and collection

Tech stack

 * SQL (BigQuery / PostgreSQL)
 * Python (Pandas, NumPy)
 * Google BigQuery
 * Google Sheets
 * Looker Studio (or similar BI tools)
 * PostHog will be a plus


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