Job Description

Role & responsibilities - Engage with business stakeholders to gather, document, and analyze business requirements, identifying process gaps and improvement areas. - Develop and implement data-driven business solutions using Python and SQL to optimize processes and enhance decision-making. - Design and execute business process optimization strategies based on data insights and industry best practices. - Build and analyze reports to provide actionable insights for business teams and leadership. - Conduct user acceptance testing (UAT) to validate solutions and ensure alignment with business objectives. - Facilitate stakeholder meetings, present findings, and communicate changes effectively. - Prioritize initiatives based on business needs, ensuring timely execution and impact measurement. - Work cross-functionally to improve data flow, collection, and reporting processes for various teams. Preferred candidate profile - Experience: 1-2 years in business analysis, data analysis, or process optimization. Experience in the B2B domain is a plus. Technical Skills: - Proficiency in Python and SQL for data analysis and automation. - Little Knowledge of AI/ML, statistical concepts, and data modeling is a plus. - Familiarity with APIs is a plus. Business Acumen: - Strong understanding of business processes, operational efficiency, and data-driven decision-making. - Ability to identify business opportunities and recommend solutions that improve performance. Analytical & Problem-Solving Skills: - Ability to analyze large datasets, extract insights, and translate them into business strategies. - Experience in managing performance metrics and key business indicators. Communication & Stakeholder Management: - Strong interpersonal skills with the ability to work collaboratively across teams. - Ability to engage with stakeholders diplomatically and communicate technical insights in a business-friendly manner. Execution & Organization: - Excellent prioritization, time management, and organizational skills. - Ability to handle ambiguity and drive projects from inception to completion. If you have a passion for data-driven business analysis, process optimization, and working with Python and SQL to solve real-world business challenges, we would love to hear from you!