Junior Data Analyst | Madrid, Es

hace 2 semanas


Barcelona, España Swiss Re A tiempo completo

About the roleWe are seeking a motivated and detail-oriented Junior Data Analyst to join our dynamic team.
The ideal candidate will have a strong interest in data analysis and a desire to grow their skills in SQL, Power BI, and equivalent technologies.
As a Junior Data Analyst, you will work closely with subject matter experts in the team to analyze and interpret data to support decision-making processes within the company.Key ResponsibilitiesData Collection and Preparation: Gather data from various sources, ensuring data integrity and accuracy.
Clean and preprocess data for analysis.Data Analysis: Use SQL to query databases, analyze data, and generate reports.
Utilize Power BI for deeper insights and visualization.Reporting: Create and maintain dashboards and reports in Power BI to provide actionable insights to stakeholders.Collaboration: Work closely with different departments to understand their data needs and provide analytical support.Data Visualization: Develop clear and visually appealing data visualizations to communicate findings effectively.Continuous Learning: Stay up-to-date with the latest trends and best practices in data analysis and related technologies.Preferred QualificationsEducation: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.Technical SkillsSQL: Basic to intermediate proficiency in writing and optimizing SQL queries.Power BI: Basic knowledge of creating and managing reports and dashboards.Excel: Proficient in Excel for data analysis and reporting.Analytical Thinking: Strong analytical and problem-solving skills with attention to detail.Communication: Good verbal and written communication skills, with the ability to present findings clearly to non-technical stakeholders.Team Player: Ability to work well in a team environment and collaborate with others.Curiosity: A keen interest in data and a desire to continuously learn and improve.Experience0-2 years of experience in data analysis, internships, or relevant coursework.Exposure to data analysis projects or tools in academic or professional settings is highly desirable.Why Join Us?Professional Growth: Opportunities for learning and development, including training in advanced data analysis tools and techniques.Collaborative Environment: Work with a development-focused team of experienced analysts, software engineers, and change managers.Impact: Play a key role in driving data-driven decisions that influence the company's strategy and operations.Flexible Work Options: Potential for remote work or flexible hours based on performance.How to ApplyPlease submit your resume and a cover letter detailing your interest in the role and how your skills align with our needs.
Include any relevant projects or portfolio work that showcases your analytical skills.About Swiss ReSwiss Re is one of the world's leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient.
We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.
Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients.
This is possible thanks to the collaboration of more than 14,000 employees across the world.Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking.
We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics.
In our inclusive and flexible environment, everyone can bring their authentic selves to work and their passion for sustainability.If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.
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