As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.
Responsibilities
- We are looking for an experienced Data Analyst proficient in working with cloud platforms, particularly Amazon Web Services (AWS).
- The ideal candidate will have a strong background in data analysis, statistical modeling, and cloud-based data processing.
- A strong understanding of cloud cost optimization, resource utilization tracking, and CloudOps/FinOps principles is a plus.
- 2+ years of demonstrable data analyst experience.
- Collaborate with the DevOps/CloudOps/FinOps teams to analyze cloud usage patterns and identify cost-saving opportunities.
- Create reports and dashboards to visualize cloud spend and utilization metrics.
- Assist in forecasting cloud costs and usage to support budgeting and capacity planning.
- Recommend and implement strategies to optimize cloud resource utilization and reduce costs.
- Stay informed about pricing changes and new cost-saving features in AWS.
- Contribute to building Data Lake of organizational application, product, resource data to drive business intelligence and AI systems.
Requirements
- Strong proficiency in SQL for data querying and manipulation.
- Knowledgeable about optimizing queries for large data sets.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, Quicksight)
- Knowledgeable about AI and industry AI products (e.g., Glean, Gemini, Q Developer)Knowledge of agile methodologies and project management tools.
- Understanding of FinOps principles and cloud cost optimization strategies.
Highly Desired Experience
- Experience with cloud cost management tools (e.g., AWS Cost Explorer, Trusted Advisor)
- Experience with cloud data management tools (e.g. AWS Athena, AWS Glue, AWS QuickSight)
- Experience with data lakes and tools for querying them (e.g., Athena SQL, Trino SQL)
- Knowledgeable about Data Science.
