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Magic9 Media and Consumer Knowledge Pvt. Ltd. Careers

https://www.linkedin.comicon
FOUNDED
2010
TYPE
Services
SIZE
20-100
STAGE
Profitable
Why join us
Magic9 Media specialises in design of market research studies, analytics on media and market research data to draw insights and to address media and brand planning issues. Our work spans: - 1. Design, Quality Control and Analytics for TV Audience Measurement 2. Designing and running large scale media studies other than Television 3. Audits of large scale media measurement studies 4. Media planning guidance to media agencies for key clients 5. Consumer profiling studies for Brand Positioning 6. Social Sector Studies – to assess the impact of interventions in the social sector 7. Tracking and Prediction of voting patterns 8. Comprehensive analysis of data for industry level studies (Consumer Classification System) Founded in 2010, Magic9 Media has made its name in the media industry through its work in large scale studies in market research and media analytics.

Jobs at Magic9 Media and Consumer Knowledge Pvt. Ltd.

Sr. Data Engineer

at Magic9 Media and Consumer Knowledge Pvt. Ltd.

Founded 2010  •  Services  •  20-100 employees  •  Profitable
ETL
SQL
Python
Statistical Analysis
Machine Learning (ML)
Apache Spark
PuTTY
JIRA
Confluence
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Mumbai
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3 - 5 yrs
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₹7L - ₹12L / yr

Job Description

This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.


Problems being solved by our client: 

Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.


Duties and responsibilities:

  • The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions. 
  • Develop, implement, and support statistical or machine learning methodologies and processes. 
  • Build, test new features and concepts and integrate into production process
  • Participate in ongoing research and evaluation of new technologies
  • Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
  • Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients

Qualifications:

  • 3-5 years relevant work experience in areas as outlined below
  • Experience in extracting data using SQL from large databases
  • Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
  • Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered. 
  • Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.  
  • Excellent verbal and written communication skills. 
  • Experience with TV or digital audience measurement or market research data is a plus. 
  • Familiarity with systems analysis or systems thinking is a plus. 
  • Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
  • Excellent verbal, written and computer communication skills
  • Ability to engage with Senior Leaders across all functional departments
  • Ability to take on new responsibilities and adapt to changes

 

Read more
Job posted by
Aditya Roongta
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