18 publicaciones de empleo destacadas de data scientist en microcentro, b (¡Están contratando!)

BI&A - Analytics and Modeling Specialist
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Sr. Marketing Insights Analyst
Bunker db —Buenos Aires, Buenos Aires
- Tiempo completo
Python Developer (Oil & Gas Industry)
Capgemini Sogeti —Buenos Aires, Buenos Aires
Científico de Datos - Especialista en Machine Learning y Cloud MLOps
MaxIT Consulting - Max Corporate Group —Capital Federal, Buenos Aires
- Tiempo completo
Postulación rápida
Sr Revenue Management Analyst B2C
Despegar —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Mainframe DevOps Migration Consultant
Capgemini —Buenos Aires, Buenos Aires
Analyst - McKinsey Digital
McKinsey & Company —Buenos Aires, Buenos Aires
Senior Machine Learning Engineer
GoFundMe —Capital Federal, Buenos Aires
Postulación rápida
Economics of AI Research Sr. Analyst
Accenture —Buenos Aires, Buenos Aires
- Tiempo completo
Azure Databricks Engineer
Capgemini —Buenos Aires, Buenos Aires
Azure Databricks Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires
Senior, Java Software Engineer
Disney Entertainment and ESPN Product & Technology —Buenos Aires, Buenos Aires
Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Salesforce Developer
Capgemini —Buenos Aires, Buenos Aires
2d
Sr Mainframe Automation Engineer
Capgemini —Buenos Aires, Buenos Aires
Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina
Speechify —Capital Federal, Buenos Aires
Salesforce Developer
Capgemini Sogeti —Buenos Aires, Buenos Aires
2d
Sr Mainframe Automation Engineer
Capgemini Sogeti —Buenos Aires, Buenos Aires

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BI&A - Analytics and Modeling Specialist

Accenture -
Buenos Aires, Buenos Aires

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Detalles del empleo

Tiempo completo

Descripción completa del empleo

BI&A Business Intelligence Specialist

Job Description

Join our Business Intelligence & Analytics (BI&A) team and help transform business data into actionable insights that support sales performance, portfolio growth, and strategic decision-making.

As a Business Intelligence Specialist, you will design and develop analytical tools, dashboards, reports, and automated solutions that enable business leaders to understand performance and make informed decisions. You will collaborate with business stakeholders, analytics leads, data scientists, and visualization specialists to define business metrics, translate requirements into scalable BI solutions, and deliver clear visual narratives.

The ideal candidate combines strong experience in Business Intelligence, Python, Power BI, data visualization, and business analysis, with the ability to manage projects and provide analytical guidance with minimal supervision.

Key Responsibilities

Business Intelligence & Analytics

Design, develop, and maintain Business Intelligence solutions, analytical tools, dashboards, and reports.
Partner with business stakeholders to understand analytical needs and translate business requirements into technical solutions.
Define business metrics and reporting requirements in collaboration with analytics leads, data scientists, and other specialists.
Analyze business and sales data to identify trends, risks, opportunities, and performance drivers.
Deliver actionable insights and recommendations to support leadership decision-making.
Provide business analysis and analytical guidance to stakeholders as needed.
Ensure BI solutions are scalable, reliable, and aligned with business objectives.

Python Development & Automation

Develop BI and analytics solutions using Python.
Build Python-based automations to improve Power BI reporting and data processes.
Create reusable scripts and analytical components that increase efficiency and reduce manual activities.
Support data preparation, transformation, validation, and integration activities.
Apply quality assurance processes to ensure the accuracy and reliability of analytical outputs.

Data Visualization & Storytelling

Design intuitive dashboards and visual reports that clearly communicate complex business information.
Apply data visualization, data storytelling, and user interface design principles to analytical solutions.
Transform analytical findings into clear visual narratives for business and leadership audiences.
Continuously improve dashboards and reports based on stakeholder feedback and evolving business needs.

Project & Stakeholder Management

Manage BI initiatives from requirements gathering through development, testing, implementation, and ongoing support.
Collaborate with cross-functional teams across Analytics, Sales, Pricing, Finance, Marketing, and related business areas.
Communicate project status, risks, dependencies, and recommendations to stakeholders.
Work independently with minimal supervision while managing multiple priorities and deadlines.
Identify opportunities to improve analytical capabilities, reporting processes, and business outcomes.

Required Qualifications

Bachelor's degree in Analytics, Computer Science, Data Science, Engineering, Information Systems, Statistics, Mathematics, or a related technical field, or equivalent practical experience.
Minimum 5 years of experience in Business Intelligence, Data Analytics, Reporting, Data Visualization, or related functions.
Minimum 3 years of hands-on Python experience applied to Business Intelligence, analytics, reporting, or automation.
Experience designing and developing dashboards, analytical tools, and reporting solutions.
Experience gathering business requirements and translating them into BI solutions and measurable business metrics.
Strong knowledge of data visualization and data storytelling principles.
Experience performing data validation and quality assurance activities.
Advanced English proficiency, both written and spoken.
Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

Experience developing solutions with Power BI.
Experience with SQL and relational data sources.
Knowledge of Power Apps and Power Automate.
Experience with Google Cloud Platform, Azure Data Studio, or other cloud and data technologies.
Experience participating in Machine Learning projects.
Knowledge of UX/UI design principles applied to dashboards and analytical products.
Experience in Sales, Marketing, Pricing, Finance, or related business functions.
Project management experience.
Experience working in global and cross-functional environments.

Professional Skills

Strong analytical and problem-solving capabilities.
Excellent verbal and written communication skills.
Ability to explain technical and analytical concepts to business audiences.
Strong stakeholder management and collaboration skills.
High level of curiosity, creativity, and continuous learning.
Ability to work independently and manage competing priorities.
Proactive approach to identifying risks and proposing solutions.
Strong focus on quality, accuracy, and continuous improvement.

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data scientist empleos en microcentro, b

BI&A - Analytics and Modeling Specialist

Sr. Marketing Insights Analyst

Python Developer (Oil & Gas Industry)

Científico de Datos - Especialista en Machine Learning y Cloud MLOps

Sr Revenue Management Analyst B2C

Mainframe DevOps Migration Consultant

Analyst - McKinsey Digital

Senior Machine Learning Engineer

Economics of AI Research Sr. Analyst

Azure Databricks Engineer

Azure Databricks Engineer

Senior, Java Software Engineer

Software Engineer, Data Infrastructure & Acquisition - Buenos Aires, Argentina

Salesforce Developer

Sr Mainframe Automation Engineer

Senior Software Engineer, Windows/Desktop Applications - Buenos Aires, Argentina