technologies-expected :

technologies-optional :

about-project :

As we drive technological advancements, tackle challenges, and lead in innovation, were 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

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

requirements-expected :

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

offered :

benefits :

technologies-optional :