Midlevel Data Analyst

Blip.pt; Madrid; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

Blip.pt is looking for a Data Analyst to act as a technical reference for data analysis and DataOps, resolving questions, sharing knowledge, and driving process improvements. You will design, create, and maintain dashboards and data products based on client needs, while collaborating with analytics engineers and data product managers to align practices.

Candidates should have strong SQL, Power BI, Python, and data visualization skills; cloud data platform experience is a plus, and you will

Formación

• Advanced SQL, data modeling, and KPI monitoring experience.
• Ability to create dashboards and tell data-driven stories.
• Experience with Python and Spark for large-scale processing.
• Strong teamwork and ability to translate technical concepts.
• Experience with data governance and DataOps practices.

Responsabilidades

• Create, maintain, and improve data products and dashboards.
• Contribute to data storage and pipelines for analytical reporting.
• Collaborate with analytics engineers and product managers.
• Support stakeholders with data and analytical insights.
• Promote data governance and DataOps across systems.

Conocimientos

SQL

Data modeling

Exploratory data analysis

Power BI

Python

Spark

Git

Data visualization

Storytelling

Statistical modeling

Data testing

Teamwork

Communication

Leadership

Organizational skills

Herramientas

DataBricks

Azure

Google Cloud Platform

Descripción del empleo

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.
If you are a person with a disability and have doubts about whether you can apply, please know that all our job openings are also open to people with disabilities. We look forward to receiving your application!

Responsabilities

As a Data Analyst, your responsibilities will include:

• 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, as well as 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

What we expect from you:

• 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:

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

• Experience using DataBricks.

• Knowledge of Machine Learning.

• Previous experience in the conversational industry.

• Client‑facing experience.