Midlevel Data Analyst

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! ## 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.