Data Analyst - Telangana/Rajasthan/Hyderabad/Warangal/Jaipur/Udaipur/Jodhpur, India - ATech

ATech Telangana/Rajasthan/Hyderabad/Warangal/Jaipur/Udaipur/Jodhpur, India

Found in: Talent IN 2A C2 - 3 days ago

permanent Technology / Internet

Description

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 reportwriting 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 decisionmaking processes.

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