Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on us to deliver accurate, real-time business and market information that helps them make important financial decisions.

At Bloomberg, we are guided by four core values that are the foundation of our continued success: innovation, collaboration, customer service and doing the right thing.

We harness the power of data and technology to organize, understand and improve our world.

It's our purpose. Come find yours.

At Bloomberg Finance we are committed to providing world-class support to our business partners by providing insight on business performance, financial oversight and thought leadership.

Bloomberg's Management and Enterprise Business Intelligence team continually improves our Product and Sales teams' ability to make data-driven decisions through speed, transparency, and extraordinary customer service. We firmly believe our people are at the core of our success. Our people arm our client-facing teams with data to optimize their prospecting and retention efforts. We enable Product teams to build better by providing them with deep insights into customer behavior. We help the News organization identify and explain long-term trends in readership, and we provide Bloomberg senior management with predictive analytics to improve revenue forecasting. And - that's just a sampling of projects from a typical week!

We're looking for a Senior Reporting and Data Analyst to join our team. You love to uncover insights using data, and balance quantitative and qualitative skills to solve real business challenges. You are excited about partnering with product and sales managers to help them better understand their audience and opportunities for growth - from basic function usage to deeper analysis that identifies new methods for driving adoption and identifying leads.

Our team is passionate about using data and analysis to help find opportunities through narrow targeting, profiling, and segmentation. We partner with product managers, Sales, Analytics, COOs, Finance leads, and more to promote adoption, retention, and deeper engagement with our products.

We'll trust you to:

• Generate ideas and institute repeatable processes that support sales, adoption, and engagement of our products to drive usage
• Analyze large data sets to develop critical insights, such as identifying target audience segments for lead generation and/or marketing campaigns, and collaborate with business units on long-term planning, policy development, and problem resolution
• Operate as an internal consultant for our Financial Products teams in addressing strategic and operating issues, as well as manage ad hoc requests and special projects that may interface across multiple business units, disciplines, and departments around the usage of the Bloomberg Terminal across desktop, API, and mobile
• Work on internal and external communications as needed for senior managers, special events, and other key constituent interactions
• Operationalize individual and business performance metrics and report on deliverables through monthly/quarterly/annual reporting
• Develop, maintain, and optimize reports and business intelligence dashboards

You'll need to have:

• Undergraduate degree in a finance or quantitative field
• A minimum of 3 years' progressive professional experience in data analytics, data modeling, segmentation, quantitative methods, extracting insights, and influencing data-driven decision-making
• A minimum of 3 years' advanced SQL skills and experience working with relational databases, knowledge of big data systems such as Hadoop, and previous work in programming languages such as Python or R
• Experience with data visualization software tools (e.g., Qliksense, Tableau, Power BI, etc.) and Web Analytics Tools (Google Analytics, Omniture etc) and the shown ability to learn and master new tools quickly
• Ability to work with and explain technical concepts to non-technical partners, and break down sophisticated business problems into achievable steps

We'd love to see:

• An advanced degree in a finance or quantitative field
• A minimum of 2 years of Qlicksense, Tableau, or Power BI experience
• Experience in constructing complex queries in SQL and in Pyspark/Pandas, and some exposure to ETL and data warehousing concepts
• Experience in statistical analysis and machine learning techniques (e.g., regression, clustering, time series, etc.)