Junior Data Analyst (Python & SQL)

TL;DR

Junior Data Analyst (Python & SQL): Processing, validating, and delivering massive datasets to ensure accuracy and reliability with an accent on data pipeline maintenance and anomaly investigation. Focus on building internal quality tools, scaling data infrastructure, and developing Python scripts within Apache Airflow.

Location: Hybrid (3 days in office in Prague, 2 days remote)

Company

Leading digital intelligence platform used by global giants like Google, eBay, and Adidas to power digital strategies.

What you will do

• Write Python scripts to process, validate, and deliver data to clients.
• Create and maintain data pipelines using Apache Airflow.
• Investigate data issues and anomalies reported by clients or internal stakeholders.
• Collaborate with engineering teams to scale data infrastructure.
• Build internal tools to detect and prevent data quality issues.
• Work with large-scale datasets from unique data sources and strategic clients.

Requirements

• Experience in Python and SQL for data analysis and manipulation.
• Degree in Computer Science, Statistics, Engineering, or a related field.
• Ability to write clean, reusable code.
• Strong curiosity, problem-solving skills, and a detail-oriented approach.
• Must be based in or able to work from the Prague office.

Culture & Benefits

• Hybrid work model (3 days in office, 2 days remote).
• Generous time off: 5 weeks of vacation, 3 sick days, and birthday month off.
• Perks include a Multisport card, meal vouchers, and high-end tech gear (MacBook Pro M3).
• Access to an equity program with stock options.
• Mentorship from experienced data engineers and analysts.
• Vibrant culture with happy hours and team lunches.