Interesting Job Opportunity: Data Analyst - Python/Business Intelligence
View: 107
Update day: 25-04-2024
Category: IT - Software
Industry: Data Infrastructure Analytics Software Development Technology Information Media
Position: Mid-Senior level
Job type: Full-time
Job content
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.
Deadline: 09-06-2024
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