Senior Data Analyst - Equity Research - Company Relationships

Bloomberg • Skillman, NJ

375d • $85,000 - $105,000

About The Position

At Bloomberg, our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we're responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. As the Supply Chain Data team, we leverage technology and industry-leading data to model the intersections between companies. Our equity research driven approach uses a wide variety of industry and company-specific data, including financial fundamentals, to produce estimates and quantify upstream and downstream relationships for a target company within an analyst's portfolio. Our insights provide intelligence serving a variety of client-needs: For the investment professional, our intel provides an edge in pinpointing (latent) supplier disruptions and/or budgetary constraints within the customer base. The scope, magnitude, and depth of insight allows professionals to detect potential trade signals emanating from deep within a company's supply chain, informing their current or prospective portfolio holdings. For businesses, our product can be used for understanding potential exposures to customer/supplier (or supply chain) risks, assess their customers, suppliers, and partnerships, and enables strategic decision making around purchasing and production costs as well as procurement expenditures. Each member of the Data team has full ownership of their multidisciplinary role: we are forward-thinking, autonomous, fast-paced, and work with purpose across all teams.

Requirements

• Bachelor's degree in Finance, Business, Accounting, Data Analytics, or another quantitative field
• 4+ years of relevant work experience in equity research, financial analysis, market analysis, data analysis, etc.
• Experience conducting research on chemicals, industrials, retail, minerals or related industries and their respective financial statements
• Basic Proficiency Python or SQL for data analysis
• Strong organizational and project management skills to plan and execute tasks effectively in a fast-paced environment
• Ability to collaborate with stakeholders across functions, including Engineering and Sales, to support product development and implementation
• Dedication to continuous improvement, with the ability to identify, implement, and document enhancements to data products and related processes
• Understanding customer needs and markets to deliver tailored, fit-for-purpose data solutions
• Adaptable and responsive to dynamic environments and evolving role requirements
• Legal authorization to work in the US without visa sponsorship now and in the future

Nice To Haves

• Advanced Proficiency in SQL and Python for data analysis
• Project management experience, particularly in Agile framework, and use of JIRA
• Data management best practices
• Experience with Bloomberg products, Bloomberg Terminal and BQL

Responsibilities

• Use your subject matter expertise to model company supply chains and derive powerful intelligence - forming the backbone of our Supply Chain functionality.
• Assist with internal projects to optimize processes and/or improve the quality of our data offerings.
• Provide customer support for users of Bloomberg products such as the Professional Service, Enterprise Solutions, and News by resolving inquiries in a timely manner.
• Monitor and interpret major company developments and identify themes or trends affecting your key market sectors.
• Establish and maintain relationships with internal departments throughout Bloomberg as well as external clients.

Benefits

• Paid holidays
• Paid time off
• Medical insurance
• Dental insurance
• Vision insurance
• Short and long term disability benefits
• 401(k) + match
• Life insurance
• Various wellness programs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees