BI Analyst (Technical Background)

Posted 2 Hours Ago
Be an Early Applicant
Prague, CZE
In-Office
50K-55K Annually
Junior
Logistics • Transportation • 3PL: Third Party Logistics
The Role
Perform analytics (80%) and data engineering/automation (20%) to deliver dashboards, KPIs, and business reporting. Build and maintain ELT pipelines and data models, integrate APIs and databases, write optimized SQL, use Python for automation, monitor data quality, and support player behaviour, CRM, fraud, commercial, and financial analytics.
Summary Generated by Built In
About Traffic Label

Traffic Label is a fast-growing, data-driven technology company operating in the iGaming and affiliate marketing space, building scalable products focused on performance, analytics, and automation across global markets.

Our teams use data to drive business decisions across marketing, product, CRM, player engagement, and commercial operations. As we continue to grow, we're looking for a BI Analyst to help transform complex data into actionable insights that support strategic decision-making across the business.

Role Overview

This is an analytics-first role with approximately 80% of your time focused on analytics and business intelligence, and 20% dedicated to data engineering and automation.

We're looking for an analytics-focused professional with strong data engineering skills. While you'll need solid engineering knowledge to build and maintain reliable data pipelines, your primary focus will be on delivering insights, dashboards, and business reporting rather than developing large-scale BI infrastructure.

Reporting directly to the Chief Technology Officer (CTO), you'll work closely with Product, Commercial, CRM, Marketing, and Operations teams to provide accurate, reliable, and actionable data that drives business growth.

Location: Prague, Czech Republic (office-based)

Key Responsibilities
  • Analyse business, product, commercial, and player data to identify trends, opportunities, and risks.

  • Design, build, and maintain dashboards and self-service reporting using Metabase, Omni, or similar BI platforms.

  • Develop meaningful KPIs and business metrics for stakeholders across the company.

  • Build and maintain reliable ELT pipelines and data models.

  • Integrate data from APIs, PostgreSQL databases, AWS services, and other data sources.

  • Write efficient SQL queries against PostgreSQL and Amazon Redshift.

  • Use Python to automate data ingestion, reporting, and business processes.

  • Monitor data quality and implement automated validation and alerting.

  • Optimise SQL queries and data warehouse performance.

  • Work closely with cross-functional teams to understand reporting requirements and translate business needs into scalable analytics solutions.

  • Support analytics related to player behaviour, CRM performance, commercial reporting, fraud detection, and financial reporting.

Skills & Experience
  • 2+ years of experience in Analytics Engineering, BI Engineering, Data Analytics, or Data Engineering.

  • Strong analytical mindset with the ability to translate data into business recommendations.

  • Advanced SQL skills, particularly with PostgreSQL and Amazon Redshift.

  • Experience building data models and ELT pipelines.

  • Proficiency in Python for data ingestion, automation, and API integrations.

  • Experience working with AWS, especially Redshift and S3.

  • Experience integrating data from APIs, databases, and flat files.

  • Experience building dashboards and self-service reporting using Metabase, Omni, or similar BI platforms.

  • Strong understanding of data quality, monitoring, and automated alerting.

  • Experience working with product, commercial, CRM, or player analytics.

  • Experience in iGaming, online casino, crypto, fintech, or another high-volume transactional industry is highly desirable.

  • Experience with Azure Application Insights, New Relic, or similar telemetry tools is an advantage.

  • Understanding of player analytics, fraud detection, CRM, and financial reporting is a plus.

  • Czech language is a nice-to-have.

  • Excellent English communication skills.

What We Offer
  • Salary: €50,000–€55,000 gross per year.

  • Opportunity to work directly with the CTO and influence business decisions through data.

  • A modern, data-driven environment where analytics is at the centre of decision-making.

  • Exposure to large-scale datasets across iGaming, affiliate marketing, and digital products.

  • The opportunity to build reporting, analytics, and automation from the ground up.

  • A collaborative international team with plenty of autonomy and ownership.

  • Office-based role in our Prague office.

  • Opportunities for professional growth in a fast-growing international business.

Skills Required

  • 2+ years of experience in Analytics Engineering, BI Engineering, Data Analytics, or Data Engineering.
  • Advanced SQL skills, particularly with PostgreSQL and Amazon Redshift.
  • Proficiency in Python for data ingestion, automation, and API integrations.
  • Experience building data models and ELT pipelines.
  • Experience with AWS, especially Redshift and S3.
  • Experience integrating data from APIs, databases, and flat files.
  • Experience building dashboards and self-service reporting using Metabase, Omni, or similar BI platforms.
  • Strong understanding of data quality, monitoring, and automated alerting.
  • Experience working with product, commercial, CRM, or player analytics.
  • Excellent English communication skills.
  • Experience in iGaming, online casino, crypto, fintech, or another high-volume transactional industry.
  • Experience with Azure Application Insights, New Relic, or similar telemetry tools.
  • Czech language skills.
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The Company
75 Employees
Year Founded: 1988

What We Do

Traffic Tech is a third-party logistics and global freight transportation provider. The company connects customers moving goods with carriers and designs multimodal solutions for transporting raw materials to manufacturing facilities and finished goods to market. Its services include air, ocean, land, intermodal and drayage logistics, warehousing, customs brokerage, and over-the-road/LTL services, supported by technology and a worldwide operating network.

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