DATA ANALYST - 53612 BOGOTÁ

Vacancy Bogotá Teleworking with availability for in-person assistance in northern Bogotá 2 or 3 times a month Administrative schedule Monday to Friday Contract for 9 months with option of extension according to company needs and performance He/she will be in charge of the complete data analysis, understanding the life cycle from data analysis, data origin, integration, storage, and consumption, defining specific data needs for analytical and reporting solutions, participating in the implementation of data models to enable data visualization, reports, and advanced analysis.

Education

Undergraduate degree in INGENIERIA INDUSTRIAL or ADMINISTRACION Postgraduate

Complementary training

Undergraduate Industrial Engineering or systems engineering, administration, computer sciences and related fields Desirable Postgraduate: Analisis de Datos / Inteligencia de Negocios Certifications in: modelado de datos / BI professional / Herramientas de análisis de datos

Technical Knowledge

Data transformation (ETL / ELT) Queries with SQL Databases. Visualization tools Looker, Qlik Sense or PowerBI. Gathering, Functional Analysis and technical Specification of business Requirements. Intermediate English

Specific Work Experience

3 Years of experience with a proven track record of success, developing and implementing analytical and data solutions. Experience with data visualization tools. Desirable in the health sector.

Roles and Responsibilities of the position.

Create datasets, extract and synthesize data; perform and interpret quantitative analyses. *Participating in the design and development of data collection strategies *Performing analysis and reports to ensure data integrity and improve the value of information. *Working collaboratively with the Health Analytics, Financial Analytics and Data Warehouse team Prepares a variety of reports, including statistical analysis and dashboards that allow key stakeholders to make informed data-driven decisions: *Developing analytical and reporting solutions that drive business insights and support organizational decision-making. Document information on processes / logic and actively participate in data management documentation efforts to improve the team's knowledge base. Working collaboratively across departments to understand and meet analytical needs.