Comcast Hiring For Data Analyst | Apply Now

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Comcast Hiring For Data Analyst | Freshers are eligible to apply for the job role and organizing an off campus recruitment drive. Below are the Job description, Eligibility, and Other details.

Job Description :-
Company Name:Comcast
Job Role:Data Analyst 
Experience:Freshers/Experienced
Batch:2019/2020/2021/2022/2023/2024
Location:Chennai, India
CTC/Salary:INR 4-12 LPA (Expected)

Responsibilities:-

Core Responsibilities:

  • Design and Develop LookML Models:

Create and maintain LookML models that define the data structure and business rules for analysis. 

  • Build Looker Dashboards and Reports:

Develop interactive dashboards and reports using Looker’s visualization capabilities. 

  • Collaborate with Stakeholders:

Work closely with business users and other teams to understand their needs and translate them into effective data solutions. 

  • Optimize Performance:

Implement best practices for LookML performance, including caching and data modeling techniques. 

  • Manage Code Changes:

Use version control systems (e.g., Git) to manage LookML code and ensure efficient collaboration. 

  • Validate Data:

Ensure data accuracy and consistency by validating data using Looker’s SQL Runner. 

  • Integrate with Other Tools:

Integrate Looker with other tools and platforms for comprehensive data visualization and analysis. 

  • Provide Technical Expertise:

Offer technical guidance on Looker best practices, data modeling, and architecture. 

  • Stay Updated:

Keep abreast of the latest trends and advancements in Looker, SQL, and related technologies. 

Eligibility:-

  • Bachelor’s/Master’s Degree


Skills & Competencies required:-

  • Strong SQL Skills: Proficiency in writing and optimizing SQL queries is essential for working with LookML. 
  • LookML Expertise: A solid understanding of LookML syntax, data modeling concepts, and best practices. 
  • Data Modeling: Experience with data warehousing platforms like BigQuery, Snowflake, or Redshift. 
  • Analytical Skills: Ability to interpret complex data and identify actionable insights. 
  • ETL Experience: Familiarity with ETL tools and processes. 
  • Version Control: Experience with version control systems like Git. 
  • Communication and Collaboration: Strong communication and collaboration skills to effectively work with stakeholders


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