As a Data Analyst, you are expected to be a technical reference regarding data analysis and DataOps practices within the specialty—resolving questions, sharing knowledge, driving process improvements, and staying aligned with industry trends.

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Responsibilities

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- Creating, making available, evolving, and maintaining data products based on our clients’ business needs;
designing, creating, and improving dashboards and custom scripts for advanced data analysis and business KPI monitoring.

- Contributing to discussions on data storage and data pipelines to support advanced analytical reporting, and data analysis and exploration, using various data and visualization technologies.

- Working closely with analytics engineers and data product managers to identify process improvements and align these changes with team practices.

- Collaborating with stakeholders by providing guidance, data, and analytical support for the development of new analyses and tools that support strategic initiatives.

- Suggesting/Collaborating/Developing and facilitating initiatives with the data governance team to ensure data integrity across distributed systems.

- Encouraging and promoting DataOps practices in the development of data products.





- Suggesting/Collaborating/Driving experiments, innovations, and the resolution of complex problems.

- Suggesting/Collaborating/Promoting an analytical and data-driven decision-making culture at Blip through training sessions, workshops, and knowledge transfer related to data analysis products.

- Suggesting/Collaborating/Promoting and disseminating good data governance and data quality practices.

- Sharing knowledge and supporting the outputs produced by the team.

Requirements

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- Advanced expertise in database concepts/data modeling, strong SQL skills, and proficiency in query performance optimization.

- Proficiency in exploratory data analysis.

- Proficiency in developing Power BI Desktop and Service solutions, focusing on optimization and organization of resources for large-scale use.

- Knowledge of Python and Spark for large-scale data processing.

- Knowledge of GIT technology.

- Proficiency in data visualization and storytelling.

- Experience in statistical modeling.

- Experience with data testing practices.

- Ability to work effectively in a team environment and build partnerships with both technical and business team members.

- Ability to translate technical language for non-technical audiences.

- Strong collaboration, curiosity, communication, leadership, and organizational skills.

It will be a plus if you have:

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- Experience using cloud data platforms (Azure, Google Cloud, etc.).

- Experience using DataBricks.

- Knowledge of Machine Learning.

- Previous experience in the conversational industry. xhfqzwm

- Client-facing experience.

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📌 Midlevel Data Analyst (Madrid)
🏢 Blip
📍 Madrid