Ekincare Careers 2024 – Hiring Associate – Data Anlayst (0-2 Years)

Ekincare Careers 2024 : is currently hiring Associate – Data Anlayst having 0-2 Years experience. ekincare’s patented technology and a pan-India network of over 10,000+ cashless healthcare service providers hiring freshers as early careers grads in Hyderabad.

About Ekincare Careers 2024 Openings:

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Role : Associate Data Analyst

Location: Hyderabad

Experience: Freshers/0-2 Years

Salary : 4 LPA

Degree : Any Graduate

Batch : 2024/2023 or any

Role Description :

We are looking for an associate with a good knowledge of SQL, Tableau/Metabase, and a knack for optimizing intricate SQL queries. You’ll dive into sizable datasets, craft insightful reports, and design visualizations using Tableau/Metabase.

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Responsibilities:
   

  • Gain hands-on experience with sizeable datasets, mastering data extraction, transformation, and loading through SQL. Enhance query performance by fine-tuning complex SQL queries.  
  • Utilize Tableau/Metabase to craft informative reports, dashboards, and visualizations, effectively conveying insights to stakeholders.  
  • Collaborate across teams, contributing data-driven recommendations for solving intricate business challenges.  
  • Ensure data accuracy by actively participating in data cleaning, validation, and monitoring processes.  
  • Assist in the development and upkeep of data models, databases, and tools supporting data analysis and reporting.  
  • Keep pace with emerging trends in data analysis, visualization, and SQL optimization to foster continuous learning and growth.  

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Requirements :

  • Any graduate/pursuing final year with a keen interest in Data Analyst  
  • Familiarity with SQL and databases, even if limited to academic projects, with a focus on enhancing SQL query performance.  
  • Basic understanding of data visualization tools like Tableau/Metabase, aiming to develop skills in crafting informative reports and dashboards for effective communication.  
  • Developing analytical and problem-solving capabilities, particularly in handling intricate datasets.  
  • Communication and teamwork exposure, including working with various departments.  
  • Detail-oriented approach and a willingness to independently manage multiple projects simultaneously.  

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