Data Architect (Fully Remote)

Le Mini Macaron; Las Palmas de Gran Canaria; A distancia; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading company is seeking a seasoned Analyst and Data Visualisation Expert to join their data science team in Las Palmas. This role focuses on delivering analytical products, with a strong emphasis on clickstream data and collaboration across teams to improve data-driven decision-making. The ideal candidate will have a solid background in data analysis, data visualization tools like Tableau and PowerBI, and a passion for storytelling with data.

Formación

• Minimum 3 years of professional experience in data analysis and visualization.
• Experience with big data, particularly clickstream data, is vital.
• Coding skills in R or Python are preferred.

Responsabilidades

• Conduct analysis to estimate value of data products.
• Create dashboards to monitor adoption of data products.
• Collaborate with stakeholders for insights and reporting.

Conocimientos

Data analysis

Data visualization

Storytelling

Business analytics

Collaboration

Educación

Bachelor's degree in Economics, Statistics, Data Science, Engineering, or equivalent

Master’s degree (a plus)

Herramientas

Tableau

PowerBI

Amazon Redshift

Oracle

Google BigQuery

Descripción del empleo

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working towards a worldwide ambition. Fuelling our growth with a knowledge worker culture, we partner with clients to provide authentic, value-led, and high-quality solutions.

We are looking for a seasoned Analyst and Data Visualisation Expert to support our data science and analytics team, focusing on Direct To Consumer data products.

The ideal candidate is a great storyteller and a strong technical contributor with experience solving business problems using data-driven tools. You will be responsible for delivering analytical products such as analyses, dashboards, insights, and recommendations, with a special focus on clickstream data. Your role involves collecting, analyzing, and presenting data to enhance strategic decision-making and to track benefits derived from data products. A high level of curiosity about the business and the ability to discover impactful insights from data are essential. Responsibilities include :

• Conducting analysis to estimate the expected value of data products.
• Measuring and tracking benefits created by data products, translating them into financial or key KPI metrics.
• Supporting business stakeholders and regional data analysts by understanding their needs and providing guidance.
• Creating dashboards to monitor adoption and business impact of launched features and data products.
• Diving deep into complex business problems and providing insights on digital features and AI model performance through hypothesis testing.
• Partnering with data science, analytics, and product managers for planning, goal setting, and prioritization.
• Collaborating with data and engineering teams to improve instrumentation, reporting, and debugging.
• Working with A / B test teams to design experiments and analyze results.
• Bringing data to life through storytelling to audiences with varying technical expertise, informing strategic decisions.
• Promoting a culture of data-driven technical excellence, ownership, and collaboration.

Qualifications include :

• At least 3 years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
• At least 3 years of applied data visualization experience using Tableau and PowerBI.
• At least 3 years of experience extracting and manipulating large datasets from relational databases such as Amazon Redshift, Oracle, or Google BigQuery.
• Coding skills in at least one statistical or programming language (R or Python preferred).
• Hands-on experience working with big data, especially clickstream data, in sectors like ecommerce, gaming, or social networks.
• Bachelor's degree in Economics, Statistics, Data Science, Engineering, or equivalent experience; Master’s degree is a plus.

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