Business Intelligence Lead

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. 
● Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.● The Business Intelligence (BI) Lead role develops and maintains analytic solutions that provide data driven insights and enable business decisions regarding panel health, operational performance, effectiveness and quality.● The ideal candidate will have a solid background in the Data Science and Analytics or related fields. Additionally, the ideal candidate demonstrates a history of continual learning and exhibits excellent critical thinking, problem-solving, and interpersonal skills.

Responsibilities

• Develop, automate, optimize and maintain analytics solutions using descriptive, prescriptive and statistical analytic methods
• Reduce tech debt associated with legacy data pipelines and reports by developing BI that integrates into BI Console architecture and framework
• Develop and maintain data, process and design documentation that support maintainability, transparency and reuse of data assets.
• Implement data governance and quality processes to ensure the integrity and accuracy of data throughout its lifecycle.
• Conduct research and analysis that offer insights to non-technical audiences, and drive actions that impact quality, performance, operational effectiveness and efficiency
• Monitor production deliveries, resolve issues and provide responses to end user feedback in a timely manner
• Collaborate with cross-functional teams on projects, production support and optimization efforts

Key Skills

• Bachelor of Science degree in Analytics, Data Science, Computer Science or related field
• 5 years quantitative and qualitative analysis skills, including statistical analysis
• 5 years experience using common scripting languages (e.g., Python)
• 5 years experience querying data, working with relational databases, e.g. SQL, Postgres
• 5 years experience in data integrations (e.g. developing data pipelines, analytics workflows, self service apps. Alteryx experience preferred
• 5 years experience developing visualizations, e.g. Tableau, Salesforce dashboards
• Well-organized and able to handle and prioritize multiple assignments
• Able to communicate effectively and concisely to various audiences, both orally and in writing
• Attention to detail, delivering high accuracy and quality. Takes the initiative to continually identify, document, and implement steps to improve overall quality and accuracy.
• Preferred: experience with Jira, Git, Confluence, Smartsheets, Google Workspace suite