Data Analyst - Python/Business Intelligence

Role and Profile : Data Analyst Job description - Analytics with predominant experience in SQL, SAS, Statistics, R , Python, Visualization - Experienced in writing complex SQL select queries (window functions & CTEs) with advanced SQL experience. - Should be an individual contributor for initial few months based on project movement team will be aligned. - Strong in querying logic and data interpretation Solid communication and articulation skills - Able to handle stakeholders independently with less interventions of reporting manager - Develop strategies to solve problems in logical yet creative ways. - Create custom reports and presentations accompanied by strong data visualization and storytelling. - We would be excited if you have. - Excellent communication and interpersonal skills - Ability to meet deadlines and manage project delivery - Excellent report-writing and presentation skills Critical thinking - Ensure high quality BI solution deliveries. - Server Performance, capacity, utilization monitoring and Health monitoring Optimization and Performance tuning of QlikSense & Qlikview applications - Define best practices for QlikSense & Qlikview deployment and create reusable templates - Perform detailed analysis of source systems and source system data and model that data in Qlik. - Hands on experience with Qlik sense Extensions (Javascript/Angular) - Advanced knowledge using set analysis & variables. - Data Cleaning and Preparation: Rigorously inspecting and cleansing data to ensure its quality and accuracy. This involves identifying and correcting errors, filling missing values, and standardizing data formats. - Data Integration and Warehousing: Efficiently combining data from different sources to create a unified and coherent dataset. Managing data storage and retrieval in data warehouses. - Data Quality Assurance: Continuously monitoring and ensuring the high quality of data. Implementing processes and standards to maintain data integrity. - Data Analysis and Interpretation: Developing a deep understanding of data attributes. Applying analytical skills to interpret, analyze, and derive meaningful insights from data. - Reporting and Visualization: Creating reports and dashboards to present data insights in a clear, understandable manner. Utilizing data visualization tools to aid in understanding complex data patterns. - Collaboration and Communication: Working with various teams to understand data needs, share insights, and support decision-making processes. (ref:hirist.tech)

Location: in, IN

Posted Date: 10/12/2024