Financial Analyst - Enterprise Data Sales Finance
Bloomberg
Accounting & Finance, IT, Sales & Business Development
New York, NY, USA
Posted on May 9, 2026
We are seeking a highly motivated finance professional to support the Enterprise Data business. This role will play a critical part in delivering financial insights, supporting strategic decision-making, and producing high-quality analysis and reporting for senior stakeholders.
The ideal candidate combines strong financial acumen, analytical rigor, and the ability to translate complex data into clear, actionable insights to drive performance across the Enterprise Data portfolio.
Key Responsibilities
• Own and enhance forecasting and pipeline models specific to the Enterprise Data business, ensuring accuracy and actionable insights.
• Develop quantitative financial analyses to support strategic initiatives, pricing decisions, and growth opportunities within Enterprise Data.
• Support financial planning processes, including quarterly forecasts, annual operating plans (AOP), and long-range planning for Enterprise Data.
• Produce executive-ready reporting and presentations focused on Enterprise Data performance, trends, and key drivers.
• Translate complex financial and sales data into clear business insights and recommendations.
• Establish and track KPIs to measure performance across Enterprise Data products and client segments.
• Partner closely with Enterprise Data sales leadership and cross-functional stakeholders to support commercial strategy and execution.
• Perform variance analysis and ensure consistent financial reporting and controls across the Enterprise Data business.
• Drive continuous improvement in Enterprise Data reporting, forecasting methodologies, and analytics capabilities.
Qualifications & Experience
• 4–8+ years of relevant finance experience, preferably supporting a data, subscription, or sales-driven business.
• Strong financial modeling and analytical skills with experience in forecasting and performance analysis.
• Proven ability to create executive-level materials and communicate insights clearly.
• High attention to detail with strong ownership mindset.
• Ability to work independently and manage multiple priorities.
• Experience with data visualization and analytics tools (e.g., Excel, Qlik, Power BI, or similar).
Key Attributes
• Data-driven problem solver with strong business judgment.
• Comfortable navigating ambiguity and translating it into structured insights.
• Collaborative partner with strong stakeholder management skills.
• Effective communicator who can influence decisions without formal authority.
• Proactive with a continuous improvement mindset.