Your responsibilities include ensuring data accuracy, compliance with security standards, and building models and dashboards that empower decision-making at scale. g. , JSON, CSV, XML) and ensure compatibility with analytical tools. Apply data modeling techniques (e. g. , star schema, snowflake schema) to design optimal structures for business intelligence and reporting. Pursuing a.
Responsibilities
Perform Data Governance and Integration Implement data governance frameworks using tools like Azure Purview to ensure data consistency, compliance, and security. Integrate data from multiple sources, ensuring accurate and efficient data consolidation for analytics purposes. Work with various data formats (e. Design and Build Analytical Solutions Develop and maintain data models and reporting solutions to support business analytics use cases. Analyze and resolve data governance and quality issues, ensuring reliability in analytics workflows. Implement role-based access controls (RBAC) and security measures to protect sensitive information. Implement and Validate Analytical Dashboards Design and implement interactive dashboards using tools like Power BI to provide real-time insights. Perform exploratory data analysis (EDA) to uncover trends and insights for stakeholders. Collaborate and Communicate Insights Work closely with stakeholders to understand analytical requirements and deliver actionable insights. Manage and Maintain Data Assets Ensure the accuracy and availability of data by monitoring storage systems and analytical pipelines.
Required Qualifications
Bachelor's Degree in Computer Science, Engineering, Finance, Business, or related field Strong understanding of data management principles, including governance, integration, and security. Basic knowledge of data visualization and analytics tools such as Power BI or Tableau. Familiarity with data management and analytics tools like Azure Purview, Power BI, and Azure Synapse Analytics. Proficiency in SQL, Python, and data modeling concepts (e.g., star schema, snowflake schema). Exposure to handling various data formats like JSON, CSV, and XML for analytics and reporting. Leveraging AI tools like co-pilots to enhance efficiency and innovation in your projects. Knowledge of data governance practices, including metadata management and role-based access controls (RBAC). Ability to troubleshoot, optimize, and document data workflows and analytical pipelines. Strong communication and collaboration skills to work with both technical teams and business stakeholders.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page