Midlevel Data Analyst

Job description

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.