Interesting Job Opportunity: Data Analyst - Python/Business Intelligence - #978040

ATech


Date: 1 week ago
City: Jodhpur, Rajasthan
Contract type: Full time
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)
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