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Data Analyst - Python/Business Intelligence


ATech


Location

Udaipur | India


Job description

Role and Profile : Data AnalystJob 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)


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