Talent Acquisition Analyst | Organizational Psychologist | Recruiter | Headhunter | Headhunting | Interviews This role is part of our Business Intelligence function and will work cross-functionally to support teams across the company with data-driven insights and reporting. - Support business growth by structuring experiments, analyzing conversion funnels, optimizing user experience, and tracking performance. - Contribute to broader analytics initiatives that empower decision-making across the business. Key Responsibilities: - Perform in-depth analyses to identify trends, uncover insights, and recommend courses of action that drive impact. - Leverage artificial intelligence to accelerate workflows and improve efficiency. - Develop and analyze experiments, helping teams measure impact, interpret results accurately, and avoid misleading conclusions. - Maintain data accuracy and integrity, proactively identifying and resolving discrepancies in reporting and analysis. - Create dashboards and reports to ensure key metrics are consistently tracked and easily accessible for decision-making. - Gather, clean, and manage data from multiple sources, including handling data ingestion from various reports and databases. - Collaborate on analytics initiatives across the company, partnering with cross-functional teams as needed. - Support operational analytics by ensuring key data is structured and accessible for forecasting and modeling. - Identify opportunities to automate analytics workflows and improve efficiency. Qualifications: - 2-5+ years of experience in data analysis or a similar role. - Proficiency in SQL for querying and analyzing structured data. - Strong knowledge of basic statistical concepts, such as hypothesis testing and confidence intervals. - Proficiency with Excel for analysis and visualization. - Ability to translate business questions into structured reporting. - Familiarity with modern Business Intelligence tools, such as PowerBI, Looker, and Tableau. - Comfortable working with operational data to support business reporting. Bonus Points: - Bachelor's or Master's degree in Mathematics, Economics, Statistics, or a related field. - Experience in BPO, Transportation, Logistics. - Familiarity with Python or R for analysis, visualization, and automation. - Familiarity with Snowflake, Fabric, or modern data lake components. - Experience developing client KPIs and suggesting success criteria. - Expertise in applying advanced statistical concepts and methodologies in real-world business contexts.