Data Scientist and Business Analyst, Content Analytics

1 week ago

Bengaluru, Karnataka, India The Nielsen Company Full time
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.

ABOUT THE ROLE
Audience is everything Nielsen offers the world's most complete measurement of media behavior.

Our data scientists leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries.

We help the world's biggest brands make better and faster advertising and marketing decisions.

As a Data Scientist and Business Intelligence Analyst, you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and compelling insights.

Excited? Come join usThis role is part of the Advanced Analytics team which is responsible for data support needs across the Commercial segment.

Requires deep knowledge of SQL, Python and Spark to extract big data from various schemas, ability to synthesize data into effective summaries to be shared with stakeholders with critical attention to detail.

Must be an active participant and willing to form and share opinions, identify roadblocks, and collaborate on solutions.

Creativity is essential for interpreting data and story-telling as well as having an enthusiasm for coding and creating scaled innovative solutions.

The role focuses on the development and execution of analytical projects through extraction of data residing in the cloud, aggregating and translating it into actionable insights in an efficient manner.


ROLE RESPONSIBILITIES
Ability to code in SQL, Python, Spark etc. to be able to extract data from various data tables on the cloud and create workflows/pipelines for various custom solutionsCraft scalable, interpretable, and sophisticated processes to solve customer problems quickly and accuratelyCollaborate and lead time-sensitive and critical ad hoc requestsCultivate a team environment focused on continuous learning, where innovative audience measurement methodologies are developed and refined through collaborative effortConduct advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance

QUALIFICATIONS & SKILLS


Holds an advanced degree in a relevant technical discipline such as Computer Science, Electronics, Computer Applications, Statistics, Mathematics, or a related field5+ years of experience in US media research (Television, Audio, Digital) with strong media research fundamentals and experience in Nielsen methodologies, and computationsHas 1-2 years of experience in statistical, data science, tech or business intelligence rolesProven ability to merge and transform diverse internal and external datasets to create innovative featuresHigh proficiency in Python, SQL, Google Scripts and PySpark; experience with ETL (, Airflow) and cloud-based environments (, AWS) is a plusProficiency in statistical analysis, mathematical modeling, and machine learning techniques; expertise in sampling, weighting, and projections.

Deep knowledge of handling big data environments and understanding of data engineering principles a plus.
Expert in data visualization tools (Spotfire, Tableau, etc) and technical communication of complex dataFamiliarity with big data technologies like Hadoop, Spark, , cloud AI platforms, and containerizationAbility to merge and transform diverse internal and external datasets to create innovative features and new custom product solutionsDemonstrates strategic thinking, understanding the broader impact of data insights on product and business objectivesAbility to turn numbers into stories our clients can understand and respond to; ability to interpret data into actionable insights, provide ideas on feasibility and come up with alternative solutions

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