**Remote Work: Hybrid** **Overview**: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve. You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about - locally and globally. We’ve only begun reimaging the future - for our people, our customers, and the world. Let’s create tomorrow together. The Data Analyst manages all phases of data analysis for the Product Management Operations team. This role involves providing support in advancing the development of models that enable automated tools to enhance data reporting. These efforts produce meaningful insights that drive streamlined operations. The work includes: - Develop and implement techniques for leveraging data, with a focus on supporting process automation, enhancing data cleansing and accuracy, and fostering data integrity. - Assist in designing reports from multiple systems according to the specifications of senior staff, utilizing advanced analytics such as SQL, Python, machine learning, and visualization tools. - Research and interpret large data sets to identify trends and patterns, uncovering influences that drive actions and leveraging insights to achieve operational excellence. **Responsibilities**: **Responsibilities**: - Perform data scrubbing processes to ensure data integrity, while developing necessary scripts, queries, and reports to support comprehensive data management. - Provide recommendations to improve data quality and related efficiencies and communicate findings to users. - Develop, run, and evaluate predictive and prescriptive analytics models to detect and analyze patterns and trends in large datasets to enhance data processing and insights. **Qualifications**: Qualifications**: Minimum Education: Bachelor’s degree, preferably in Engineering, Data science, Mathematics, or a related field. Minimum Work Experience (years): 1-2 years Key Skills and Competencies: - Proficiency in data visualization techniques and statistical methods. - Data Analysis - Excel advanced - ** Power BI**: - English advanced - Skill in analytics tools, database technologies, and SQL is required. - Ability to develop advanced analytic data models. - Attention to detail and accuracy of data is required. - Ability to use cloud data warehouses (Big Query, Databricks, etc.). **Preferred Qualifications**: - ** Experience with data visualization e.g., Tableu or looker**: - ** SQL**: - ** Python**: - ** Data analysis tools**: - **Data base structures**: - ** BI reporting**: - ** Analytical thinking**: - ** Problem solving**: - ** Experience working in cross-functional teams and support regional and global initiatives.**: - ** Experience working in a corporate environment or multinational company.**: - ** Able to manage tasks autonomously