Data Analyst

Data Analyst (Python & SQL)

Location: Kaunas or Vilnius, Lithuania (Hybrid)

Salary: €3,300 - €4,000 gross + 10% performance bonus

Benefits: Comprehensive healthcare, wellness vouchers, team events, AWS certification bonuses, and more.

About the Company:

Our client is a global leader in providing innovative technology solutions, focused on delivering advanced data analytics and intelligence services for large-scale networks. Their cutting-edge platforms ensure data-driven decision-making and automation across millions of users, collaborating with leading partners across Europe and North America.

This position sits within the Data Intelligence team, responsible for managing and scaling automation and tracking systems. You will work in a collaborative environment, utilizing modern technologies to contribute to scalable data solutions in response to the company's growing needs.

Role Overview:

As a Data Analyst, you will be pivotal in driving data accuracy, quality, and process automation. You’ll collaborate with cross-functional teams to ensure seamless data operations and contribute to analytics projects. Python and SQL are essential for this role, with a heavy focus on using AWS Athena for advanced data analysis and automation.

Key Responsibilities:

• Develop and maintain automated data pipelines and reporting systems using Python and SQL.
• Provide actionable insights into system performance through data intelligence and error analysis.
• Enhance automation processes, ensuring system accuracy and addressing false positives.
• Work closely with data engineering and development teams to improve and scale analytical tools.
• Analyze trends in large datasets to drive system performance and optimize decision-making.
• Perform data labeling tasks to refine AI algorithms.

Must-Have Skills & Experience:

• At least 2 years of hands-on experience with Python and SQL (Pandas).
• 3+ years of experience in data analysis, especially with large datasets and key performance indicators (KPIs).
• Experience building dashboards with data visualization tools.
• Strong knowledge of statistical analysis to generate meaningful insights and recommendations.
• Ability to troubleshoot complex data issues and deliver high-quality results.

Desirable Skills:

• Experience with AWS (Athena, S3).
• Familiarity with networking and large-scale data systems.
• Experience with tools like Git, Docker, and Jira.
• Knowledge of using Wireshark or similar tools for data analysis.

What They Offer:

• A hybrid work model with flexible hours.
• A competitive benefits package, including health insurance, wellness vouchers, a personal development budget, and team-building activities.
• Access to the latest tools and technologies for ongoing professional growth.
• The opportunity to work on impactful projects that touch millions of users worldwide.