Senior Qlik Sense Developer / Qlik Sense Developer with 3+ years in Data Modeling & Business Intelli
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Assessing your cultural and operational fit
With over 3.6 years of experience as a Sr Associate at Tata Technologies Limited, extensive hands-on experience in Qlik Sense, designing and developing data models using the best schema based on user requirements. Implemented new features of Qlik Sense like Pivot Table, KPI Object. Strong experience in creating reports using various data providers like NPrinting and writing SQL Scripts, PISQL stored procedures. Managed user accounts in Qlik Sense Management Console and implemented security using Qlik Sense Section Access technology.
GITAM (Deemed to be) University
B.Tech/B.E.: Computers · Computers
August 1, 2017 – June 30, 2021
Andhra Pradesh
12th · English Medium
June 1, 2015 – May 31, 2017
Andhra Pradesh
10th · English Medium
June 1, 2015 – May 31, 2015
Tata Technologies
Qlik Sense Developer and Administration – Sr Developer
May 1, 2021 – December 1, 2024
India
Cultural Fit Analysis
The candidate's experience at Tata Technologies, a large IT services company, suggests exposure to diverse project environments and client requirements across various industries (Sales, Insurance, Pharmaceutical, Healthcare, Retail). This breadth of exposure indicates a potential for adaptability and working with different organizational cultures. The role as a 'Sr Developer' aligns well with the target role of 'Senior Qlik Sense Developer'. The candidate's education and single work experience show a focused career path in Qlik Sense, which is a good fit for the specialized role.
Soft Skills & Operational Fit
The candidate demonstrates operational fit through experience in L1/L2/L3 support, ticket management (ServiceNow), and adherence to 3-Tier implementation methodology. The description of working on AMS (Client: Borgwarner) suggests experience in a client-facing or service delivery environment. However, specific soft skills like teamwork, problem-solving approach, or communication style are not explicitly detailed in the provided data.