Data Analyst

hace 2 semanas

WorkFromHome, Colombia Hire Horatio CX A tiempo completo

Overview: We are seeking a detail-oriented Data Analyst to join our team. This role is responsible for building, maintaining, and optimizing reporting focused on Customer Experience metrics to enable data-driven decision-making across Operations. The ideal candidate will partner closely with Operations Managers, Customer Service Managers, and Team Leads to provide actionable insights, identify trends, and drive performance improvements. Responsibilities: Extract and transform raw data from different CRMs to generate KPI reporting, using Python, SQL, BI Tools, Google Suite, and Microsoft Office. Design, create and maintain reports & dashboards to monitor business health metrics for both internal and external clients. Participate and help in the deployment and enforcement of data governance policies, ensuring the correct usage of our data warehouse. Generate data-driven decisions and business insights based on the available and self-generated reporting. Manage effective, efficient, and empathetic communication with different stakeholders. Streamlining existing processes and implementing new initiatives. Requirements: Knowledge in Python, Basic level - Experience of 6 months to a year programming involving the usage of data science libraries such as Pandas, matplotlib, seaborn, numpy, plotly, sklearn, scipy, datetime, json, os, and related. (not necessary to be professional experience). SQL Basic level - Experience of 6 months to a year (not necessary to be professional experience). Familiarity with Data warehousing concepts, ETL, and ELT pipelines to ensure proper understanding of the organization's Data Governance policies, to build sustainable solutions across the board. Proficient in data warehousing concepts, ETL, and ELT pipelines. Ensures adherence to organizational Data Governance policies to develop robust and scalable data solutions. Google Sheets / Excel intermediate level proficiency. Completed studies or currently pursuing a degree in a relevant field such as Computer Science, Data Science, Business Analytics, Statistics, Information Systems, Engineering, or a related quantitative discipline. From 6 months to a year of professional experience in related roles (Internships may qualify as professional experience). English Proficiency - Talking level, solid B1 or higher. Skills: Empathetic but efficient communication skills. Ability to communicate complex quantitative concepts to stakeholders that come from different backgrounds (Operations Managers, Client Service Managers, Customer Success Managers/Specialists, and other related). Pro-active personality and autonomous work. Resilience under pressure. Ability to quickly switch between projects and deliverables - Adaptability, managing important vs urgent tasks Efficient time Management and/or agile methodologies. Preferred Skills/Nice to have: Interest or knowledge in Artificial Intelligence. Interest or knowledge in Data Governance & Data Management. Interest or knowledge in Data Science. Snowflake platform knowledge or experience. Knowledge or experience in API. Bogota-based hybrid role. #J-18808-Ljbffr

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