Data Analyst

at Amagi Media Labs

DP
Posted by Rajesh C
icon
Bengaluru (Bangalore)
icon
5 - 7 yrs
icon
₹10L - ₹20L / yr
icon
Full time
Skills
Data Analytics
Data Visualization
PowerBI
Tableau
Qlikview
Spotfire
Python
Amazon Web Services (AWS)
SQL
ETL

Data Analyst

Job Description

 

Summary

Are you passionate about handling large & complex data problems, want to make an impact and have the desire to work on ground-breaking big data technologies? Then we are looking for you.

 

At Amagi, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Amagi’s Data Engineering and Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic team members who like to think outside the box.

 

Amagi’s Data warehouse team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are an integral part of business functions such as Sales/Revenue, Operations, Finance, Marketing and Engineering, enabling critical business decisions. Designing, developing, scaling and running these big data technologies using native technologies of AWS and GCP are a core part of our daily job.

 

Key Qualifications

  • Experience in building highly cost optimised data analytics solutions
  • Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data
  • Experience (hands on) in building high quality ETL applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.
  • Experience in working with AWS or GCP
  • Experience with relational and NoSQL databases
  • Experience to full stack web development (Preferably Python)
  • Expertise with data visualisation systems such as Tableau and Quick Sight
  • Proficiency in writing advanced SQL queries with expertise in performance tuning handling large data volumes
  • Familiarity with ML/AÍ technologies is a plus
  • Demonstrate strong understanding of development processes and agile methodologies
  • Strong analytical and communication skills. Should be self-driven, highly motivated and ability to learn quickly

 

Description

Data Analytics is at the core of our work, and you will have the opportunity to:

 

  • Design Data-warehousing solutions on Amazon S3 with Athena, Redshift, GCP Bigtable etc
  • Lead quick prototypes by integrating data from multiple sources
  • Do advanced Business Analytics through ad-hoc SQL queries
  • Work on Sales Finance reporting solutions using tableau, HTML5, React applications

 

We build amazing experiences and create depth in knowledge for our internal teams and our leadership. Our team is a friendly bunch of people that help each other grow and have a passion for technology, R&D, modern tools and data science.

 

Our work relies on deep understanding of the company needs and an ability to go through vast amounts of internal data such as sales, KPIs, forecasts, Inventory etc. One of the key expectations of this role would be to do data analytics, building data lakes, end to end reporting solutions etc. If you have a passion for cost optimised analytics and data engineering and are eager to learn advanced data analytics at a large scale, this might just be the job for you..

 

Education & Experience

A bachelor’s/master’s degree in Computer Science with 5 to 7 years of experience and previous experience in data engineering is a plus.

 

Read more

About Amagi Media Labs

Amagi enables TV networks, OTT platforms, and content owners to transition to cloud technologies for their playout, delivery and monetization needs.
Read more
Founded
2008
Type
Product
Size
500-1000 employees
Stage
Profitable
View full company details
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  • Questions and challenging the status quo with data is safe
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  • Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning

 

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