Mid/Senior Research Data Analyst

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.