Analytics Engineer (m/f/d)

As we drive technological advancements, tackle challenges, and lead in innovation, we're looking for an Analytics Engineer to join a project focused on profitability and performance solution.

Work mode: At least one day per week of on-site work in Wrocław

Your responsibilities:

• Evaluate data and requirements from various industries, clients, and data sources to create customized, high-quality analyses tailored to specific business needs
• Work alongside a cross-functional team of Analytics Engineers, Business and Technology Experts, and Data Scientists to tackle real-world business challenges
• Extract deep insights from the data, convert them into technical requirements, and design high-performance analytical solutions
• Develop clear and engaging data visualizations that turn analysis results into easy-to-read reports and dashboards for effective business decision-making
• Ensure the accuracy and quality of the analytical solutions and deliver them to generate measurable business value for clients
• Collaborate with and assist clients and partners in developing new use cases and analytical solutions for different business needs
• Document solutions, processes, and methodologies to ensure transparency, reproducibility, and clarity for stakeholders

Your benefits:

• Access to private healthcare
• Flexible working hours tailored to your schedule
• Co-finance for Multi-sport card
• Office located in the center of Wrocław
• Regular company social events and integrations!

Your profile:

• At least two years of experience in developing analytical solutions using standard analytics platforms (familiarity with tools like SAC or SAP Datasphere is an advantage)
• Familiarity with scripting languages and data analysis tools such as SQL, Python, R, or JavaScript is a bonus
• Strong attention to detail and a commitment to maintaining strict quality standards
• Hands-on experience with BI tools such as SAP BOBI, Tableau, Power BI, Qlik, or similar platforms
• Excellent problem-solving abilities and analytical thinking, with a talent for interpreting data and delivering actionable insights to stakeholders, identifying potential challenges, and developing strategies for their resolution
• Proven ability to thrive in a collaborative, team-based environment, effectively manage multiple tasks, and engage with diverse stakeholders to achieve high-quality results, even in high-pressure environments with changing priorities
• Fluency in English with excellent oral and written communication skills
• A university degree in fields such as business analysis, IT, data engineering, data science, statistics, mathematics, or related disciplines is required

Is what we offer a perfect fit for you? Then we look forward to receiving your application!