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Descripción de la vacante
A staffing and recruiting company is seeking a Data Solutions Architect to join their team. The ideal candidate has over three years of experience in developing Business Intelligence dashboards and reports. Responsibilities include architecting data solutions, querying data sources, and presenting findings to stakeholders. The role offers flexibility, tailored compensation, and access to cutting-edge tools. The position requires an advanced level of English and strong analytic skills, providing a dynamic environment for continuous growth.
Servicios
Flexibility in work location
Tailored Compensation
Access to cutting-edge tools
Autonomous workflow
Generous leave policies
Diversity & Inclusion initiatives
Collaboration opportunities
Mentorship and growth opportunities
Formación
3+ years of experience in Business Intelligence.
Strong understanding of data modeling concepts.
Experience with ETL processes is a plus.
Responsabilidades
Architect data solutions from scratch.
Identify and query data sources.
Create datasets, reports, and dashboards.
Present findings to stakeholders.
Deploy tools to needed platforms.
Document the operational environment.
Conocimientos
Business Intelligence dashboards development
Data visualization
Analytic skills
ETL processes (SSIS, Python)
SQL Server database knowledge
Advanced English proficiency
Descripción del empleo
Overview
At INDI, we’re passionate about empowering individuals and businesses worldwide. Our cutting‑edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.
Responsibilities
Understand the Talent funnel and architect a Data solution from scratch, including the definition of KPIs and metrics.
Work with stakeholders to understand reporting needs, identifying and querying data sources to get the required data.
Cleanse and massage data into the shape required, creating datasets, reports, and dashboards to meet requirements.
Present and gather feedback from stakeholders.
Deploy data, reports, and dashboards to Data Analysis tools, developing reports according to analyst‑defined specifications.
Maintain and document the operational environment.
Requirements
At least 3 years of experience developing Business Intelligence dashboards and reports, analyzing, and visualizing data.
An understanding of top‑of‑the‑line Data Analysis tools.
Previous experience with administration, licensing, security, and deployment is a plus.
A solid understanding of the concepts involved in modeling relational data.
Strong analytic skills, with a hands‑on approach with the ability to deliver commitments.
Superior organizational skills, with a disciplined approach to implementation, support, and documentation.
Experience with ETL of data from a variety of sources using SSIS, Python, or similar technologies (is a plus).
Knowledge of SQL Server database architecture (components and processes of the database) and/or experience with creating tabular data models in SQL Server (is a plus).
Advanced English level.
Benefits
Flexibility: Choose where and how you work for enhanced creativity and innovation.
Tailored Compensation: Personalize your earnings to suit your financial goals.
Tech‑Driven Tools: Access cutting‑edge resources for seamless collaboration and productivity.
Autonomous Workflow: Take control of your schedule to achieve work‑life balance.
Well‑being: Enjoy generous leave policies for rest and rejuvenation.
Diversity & Inclusion: Thrive in a diverse and inclusive environment.
Collaboration: Engage with industry leaders for collective growth.
Development: Access mentorship and growth opportunities for continuous advancement.
Seniority level: Mid‑Senior level. Employment type: Full‑time. Job function: Information Technology. Industries: Staffing and Recruiting. Location: Bogota, D.C., Capital District, Colombia.
* El índice de referencia salarialse calcula en base a los salarios que ofrecen los líderes de mercado en los correspondientes sectores. Su función es guiar a los miembros Prémium a la hora de evaluar las distintas ofertas disponibles y de negociar el sueldo. El índice de referencia no es el salario indicado directamente por la empresa en particular, que podría ser muy superior o inferior.