ppAs 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. /p pIf 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! /p h3Responsibilities /h3 ul liCreating, 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. /li liContributing to discussions on data storage and data pipelines to support advanced analytical reporting, and data analysis and exploration, using various data and visualization technologies. /li liWorking closely with analytics engineers and data product managers to identify process improvements and align these changes with team practices. /li liCollaborating with stakeholders by providing guidance, data, and analytical support for the development of new analyses and tools that support strategic initiatives. /li liSuggesting/Collaborating/Developing and facilitating initiatives with the data governance team to ensure data integrity across distributed systems. /li liEncouraging and promoting DataOps practices in the development of data products. /li liSuggesting/Collaborating/Driving experiments, innovations, and the resolution of complex problems.



/li liSuggesting/Collaborating/Promoting an analytical and data-driven decision-making culture at Blip through training sessions, workshops, and knowledge transfer related to data analysis products. /li liSuggesting/Collaborating/Promoting and disseminating good data governance and data quality practices. /li liSharing knowledge and supporting the outputs produced by the team. /li /ul h3Requirements /h3 ul liAdvanced expertise in database concepts/data modeling, strong SQL skills, and proficiency in query performance optimization. /li liProficiency in exploratory data analysis. /li liProficiency in developing Power BI Desktop and Service solutions, focusing on optimization and organization of resources for large-scale use. /li liKnowledge of Python and Spark for large-scale data processing. /li liKnowledge of GIT technology. /li liProficiency in data visualization and storytelling. /liliExperience in statistical modeling. /li liExperience with data testing practices. /li liAbility to work effectively in a team environment and build partnerships with both technical and business team members. /li liAbility to translate technical language for non-technical audiences. /li liStrong collaboration, curiosity, communication, leadership, and organizational skills. /li /ul h3It will be a plus if you have: /h3 ul liExperience using cloud data platforms (Azure, Google Cloud, etc.). /li liExperience using DataBricks. /li liKnowledge of Machine Learning. /li liPrevious experience in the conversational industry. /li liClient-facing experience. /li /ul /p #J-18808-Ljbffr

📌 Midlevel Data Analyst (Madrid)
🏢 Blip
📍 Madrid