Mid/Senior Research Data Analyst

Want to be part of a culture of data-driven decision-making? Love turning data into meaningful, actionable insights? Are you passionate about cybersecurity and technology? If so, we want you on our research team! This team comprises experts who specialize in collecting, analyzing, and interpreting large amounts of data, contributing to the most successful stories in top media outlets worldwide.

If you want to:

• Own research projects by quantitative analysis;
• Develop research plans and communicate them clearly to stakeholders;
• Collect, process, and analyze external data to provide clear insights, trends, and outcomes for the team;
• Create briefs for copywriters and designers to explain and visualize your insights and be responsible for the final result;
• Produce analysis outputs such as charts, tables, and public-facing datasets;
• Provide the team with new ideas for future research projects;
• Reactively cooperate with third parties (e.g., media) in answering research-related questions.

And you can check off:

• 2+ years of experience in data processing, analysis, and visualization, preferably with familiarity working with Open Data;
• 2+ years of experience in academic, market, exploratory, statistical, or related research fields;
• Experience in using Python for data analysis, including hands-on experience with pandas and data analysis packages to work with big data sets;
• Strong knowledge and expertise with spreadsheet software, such as Excel, and Google Sheets, including basic Macros for repetitive task automation;
• Proven ability in data storytelling and presenting complex analysis to stakeholders in a clear and impactful manner, including data visualization;
• Excellent time management and organization skills;
• Strong interpersonal skills, including teamwork, communication, and accountability;
• English fluency, written and spoken;
• Overall passion for data, analysis, visualization, coding, and technology.

Bonus points if you:

• Know other programming languages (e.g. R), SQL, and/or data scraping.

Here’s the deal:

• Growth and learning opportunities: time dedicated to learning, conferences, online learning platforms, and books for your professional development;
• Health and wellness: we want you to feel and be your best. That's why we offer various benefits, from online workouts, a physical coach and a gym to regular mental health checks;
• Tools of your choice: choose technical equipment and the tools you need to do your best;
• Community and celebrations: get ready for long-lasting traditions such as yearly workation, Friday get-togethers, various team buildings and company celebrations;
• Convenient commuting: traveling from point A to point B can be a pain. That’s why, depending on your unique circumstances, we compensate part of your public transport costs;
• Work-life balance: as a general rule, we work based on a 3+2 hybrid model. And let’s not forget the WFA policy – an opportunity to work from anywhere in the world;
• Premium Surfshark accounts: for you, your family, and friends;
• Gross salary: 2650 - 4300 Eur/month for the Lithuanian market. It may vary depending on your skills, experience, or location.