Digital Analyst Senior

COMPANY DESCRIPTION Bloom AI is a modern intelligence layer that accelerates decision-making through AI-driven synthesized insights. We empower enterprises to unlock the value of data with human-like synthesis and decision intelligence at scale. Our proprietary tools and solutions are trusted by investment managers, insurance, private equity, and Fortune 1000 companies for more informed, efficient, and productive business practices.

Bloom AI is in Raleigh (U.We're looking for a Senior Analyst – Digital Performance & Analytics to join our growing team. This role sits at the intersection of digital analytics, marketing performance, customer insights, and data operations —supporting some of our most important client programs.

Digital Performance & Insights Interpretation
Analyze multichannel marketing data (email, web, campaigns, social, CRM, paid media) to identify trends, performance drivers, and engagement patterns.
Support monthly/quarterly performance reviews with intelligence-backed storytelling.

Data & Reporting Collaboration
Partner with Bloom AI's data ingestion and reporting teams to ensure data completeness, quality, and alignment with client KPIs.
Translate business questions into data requirements and support the development of automated dashboards and intelligence reports.
Help identify new intelligence opportunities based on digital activity signals (engagement scoring, channel lift analyses, content performance insights, etc.).

Work with Product and Engineering to shape enhancements to our digital intelligence and reporting products.
Contribute to case studies, insights reports, and internal playbooks on digital analytics best practices.
Experience & Skills

• 4-6 years of experience in digital analytics, marketing analytics, performance insights, or customer analytics roles.
• Strong understanding of multichannel marketing data—email, web analytics, CRM, social, and paid media (experience in financial services is a plus).
• Working knowledge of martech tools such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, CDPs, or campaign platforms.
• Strong analytical skills with the ability to translate data into insight and insight into action.
• Excellent data storytelling ability—clear, structured thinking with strong PowerPoint and narrative skills.
• Comfort collaborating with data engineers and reporting developers; ability to translate business needs into data requirements.
• Experience with enterprise clients (especially asset management, insurance, or fintech).

Exposure to SQL, Python, or BI tools (Tableau, PowerBI, Looker).
Understanding of AI-augmented reporting, marketing intelligence, or automation workflow

Strong communication skills—able to explain complex analytics to non-technical stakeholders.