Sr Data Engineer, Analytics Mumbai
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.
At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
As a Sr. Data Engineer, Analytics at Gracenote, you will be instrumental in deriving insights from our vast Entertainment datasets and production systems. This role entails a blend of technical prowess and business acumen, requiring strong expertise in SQL, Python, and proficiency with AWS cloud services. The successful candidate will not only be adept at analyzing data but also skilled in communicating these insights through reports and dynamic dashboards that support both technical and non-technical audiences.
As a Sr. Data Engineer, Analytics at Gracenote, you will be instrumental in deriving insights from our vast Entertainment datasets and production systems. This role entails a blend of technical prowess and business acumen, requiring strong expertise in SQL, Python, and proficiency with AWS cloud services. The successful candidate will not only be adept at analyzing data but also skilled in communicating these insights through reports and dynamic dashboards that support both technical and non-technical audiences.
Responsibilities
- Create and maintain production dashboards to monitor key performance indicators and drive business decisions.
- Aggregate, clean and study data for key or specialized analytics projects.
- Utilize Python for complex data manipulation, analysis, and automation tasks.
- Work closely with business units to gather requirements and translate business needs into technical specifications.
- Offer data-driven recommendations to leadership, influencing strategic planning and operations.
Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.
- Proficient in AWS cloud services fundamentals.
- Proficient in SQL and Python for advanced data analysis.
- Strong skills in data visualization and reporting.
- Exceptional analytical, problem-solving, and communication abilities.
- Capable of working both independently and as part of a collaborative team.
Bonus Skills:
- Experience with Apache Spark/PySpark
- Experience training/evaluating machine learning models
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Data analysis Data visualization Machine Learning ML models PySpark Python Spark SQL Statistics
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
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