Data & Product Support Analyst (BOG)

Overview of the role : At HireHoratio, we are seeking a detail-oriented Data & Product Support Analyst to join our team.

This role is responsible for building, maintaining, and optimizing reporting focused on Customer Experience metrics , enabling 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 & 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 to intermediate level - Experience of 1 to 2 years programming involving the usage of data science libraries such as : Pandas, matplotlib, seaborn, numpy, plotly, sklearn, scipy, datetime, json, os, and related.  SQL Basic to intermediate level - Experience of 6 months to a year (not necessary to be professional experience).

Familiar 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 basic to 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, or a related quantitative discipline.

From 1 to 2 years of professional experience in related roles (Data Analyst, Data Engineer, Business Analyst).

Near Native English Proficiency - Good talking level, solid C1 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.

Powered by JazzHR