Live Data Production Editor, Sports

Mumbai, India

Nielsen

A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.

View company page

ABOUT THE ROLE
The Gracenote Sports Content team keeps track of 3,000 leagues across 200 different sports. This data is delivered in multiple languages to media clients, international sports federations and national sports governing bodies. Our live sports data can also be seen on smart TVs and in cars.
We are presently looking for a Live Data Production Editor to join our Content team. This role is responsible for our live sports coverage, you will capture several live match events and use Gracenote’s Sports-based tooling in the process. You will work as quickly as possible watching, analyzing, and entering data to deliver the required deep sports data to our (media) customers within seconds
RESPONSIBILITIES:
• Live scoring of sports, including football, tennis, cricket, road cycling and many more! • Enter player and schedule information for upcoming competitions and matches. • Process (historic) results of any of the 250 sports covered by Gracenote • Expect to spend about 80% of your time on Live scoring of sports, including football, tennis, cricket and many more
REQUIREMENTS & QUALIFICATIONS
• Must be a Graduate in any field• Should be proficient in the English language and possess excellent writing and communication skills• Ready to work in a 24/7 operation, including evening and weekend shifts.• The role is hybrid, so you must live near Nielsen’s Mumbai office. Work from home is possible if an adequate workplace for working with live sports is available.
Preferred Skills:•Avid follower of one or more different sports. Excellent general sports knowledge•Able to deal with stress and time pressure, and able to make quick decisions.•Able to identify reliable, accurate data from sources.•Solid communication and time-management skills required•Have excellent computer skills
Desired Skills:•Able to work when sports are happening - evening - nights - weekends. •Have excellent written and verbal English skills.•High quality focused individuals with a high level of attention to detail.•Have excellent written and verbal English skills. • High quality focused individuals with a high level of attention to detail.ABOUT THE TEAMGracenote, a Nielsen company, provides music, video, and sports content along with technologies to the world's hottest entertainment products and brands, which is also a global standard for music and video recognition which is supported by the largest source of entertainment data. Gracenote features descriptions of more than 200 million tracks, TV listings for 85+ countries, and statistics from 4,500 sports leagues and competitions.
ABOUT NIELSENBy connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth. 
Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas, and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, curious colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Statistics Streaming

Perks/benefits: Startup environment Team events

Region: Asia/Pacific
Country: India
Job stats:  7  1  0
Category: Product Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.