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Mapping Data Analyst is a subject-matter expert in data mining and analysis, and dashboard or report creation dedicated to improving operational efficiency, accuracy and consistency. The Mapping Data Analyst is expected to draw insights and find improvement opportunities, gather insights and make proposals, help accelerate throughput of models and algorithms, and act as a team’s data POC.

• Understand analytical needs, document and prioritize requirements, and develop plans for process or tools improvement initiatives.
• Build and maintain analytical SQL queries, scripts, and dashboards to track task progress or operational productivity.
• Use statistical methods to analyze data and generate insightful project reports.
• Identify and recommend new ways to improve quality and productivity by streamlining operational processes.
• Collaborate and coordinate with other Advanced Operators to test hypotheses of possible process improvements.
• Use SQL, Oracle, Python or other programming languages to prepare and present data in a way that is visually appealing and simple for clients to navigate and comprehend.
• Assist in evolving data pipelines to improve throughput and provide near real-time data insights.
• Quantify, track, and manage solution implementation with before and after metrics.
• Identify and develop data quality initiatives and opportunities for automation.
• Ensure scripts and data management practices follow internal best practices.

• Professional development and clear career path.
• Open-minded and multinational environment.
• Opportunity to be part of a global organization focused on development.
• Training & development opportunities.
• Full equipment and paid training provided from the first day of work.
• Extensive benefits package: Multisport Card, Lux Med medical healthcare including dental care, life insurance, cafeteria benefits.

• Knowledge of English language on at least B2 level.
• SQL, Oracle, Python or other programming languages.
• Strong understanding of data mining, statistical analysis, and machine learning.
• Experience with data visualization tools such as Tableau, Power BI, and R.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong analytical and problem-solving skills.
• Attention to detail.
• Self-motivated and able to work under pressure.
• Ability to find innovative solutions and improvements.