Senior Business Intelligence Analyst, DeepIntent
$110-120k
+ Performance based bonus or commission
Healthcare advertising platform
Be an early applicant
Healthcare advertising platform
201-500 employees
Be an early applicant
$110-120k
+ Performance based bonus or commission
201-500 employees
Company mission
To measurably improve the lives of patients through innovation at the heart of advertising technology and healthcare.
Role
Who you are
- 3+ years of experience in revenue operations or business intelligence within the adtech industry
- Strong familiarity with DSP platforms, programmatic advertising, and real-time bidding
- Demonstrated success in developing and executing revenue strategies tied to product development
- Knowledge of adtech ecosystems, including auction mechanics, yield management, and pricing models
- Experience with data analysis tools like SQL and Looker
- Familiarity with data transformation tools like dbt
- Familiarity with APIs, data pipelines, and revenue tracking systems
- Ability to analyze performance data and make compelling recommendations for internal strategy, as well as client optimization recommendations
- Strong verbal and written communication skills
- Detail oriented, well organized, comfortable working independently, and have the technical aptitude to learn new technologies
- Self-motivated with high energy and willingness to adapt
What the job involves
- DeepIntent is looking for a Sr Business Intelligence Analyst to join our growing Revenue Strategy & Operations team
- The Sr Business Intelligence Analyst will use data analysis and reporting tools to extract insights from sales and customer data across the revenue lifecycle, providing actionable intelligence to optimize processes, forecasting, and decision-making within DeepIntent’s revenue operations function, thereby driving overall growth and performance
- The Sr Business Intelligence Analyst will play a critical role in helping to define and execute strategies that maximize monetization opportunities within our DSP platform
- Combining product expertise with a deep understanding of revenue workflows, you will support initiatives to optimize pricing models, streamline operational processes, and deliver innovative features that enhance campaign performance and client satisfaction
- Partner with sales, operations, and finance teams to align product features with revenue goals and client needs
- Serve as the bridge between sales, marketing, product, and finance teams to ensure alignment on revenue goals
- Educate internal teams on revenue workflows, platform capabilities, and new product features to drive adoption and operational efficiency
- Work with Data Governance and Data Infrastructure to establish key data pipelines and metric definitions
- Leverage analytics tools (e.g. Looker, SQL, dbt) to track and report on performance, revenue impact, and user engagement
- Analyze data to identify trends, revenue leakage, and growth opportunities, providing actionable recommendations to stakeholders
- Conduct A/B testing on revenue-related features, interpreting results to inform future strategies
- Build and maintain financial models to support strategic decision-making for pricing and revenue optimization
- Use data to prioritize features and justify business cases for new investments
- Use Claude to build custom reporting and generate key business insights
- Design and implement revenue operations frameworks that maximize yield, pricing efficiency, and revenue scalability
- Develop and maintain dashboards and analytics for revenue performance tracking and forecasting
- Identify and address inefficiencies in revenue workflows, improving operational processes and reducing time-to-revenue
- Partner with product management teams to align operational requirements with DSP product development, ensuring seamless integration of revenue processes
- Influence the roadmap for revenue-impacting features, such as pricing algorithms, billing workflows, and reporting tools
- Collaborate on feature testing and rollouts, providing operational insights to optimize functionality and performance
Our take
Pharma companies have been slower to adopt programmatic advertising due to unique targeting and regulatory challenges. This has hindered their ability to effectively communicate their wellness services and engage the right audiences. DeepIntent was founded to address this gap with technology that enables better communication and more targeted advertising.
The platform is developing a marketplace that integrates offline health data with online identity, creating a privacy-safe environment for media buyers and sellers. This allows pharma companies to connect with target audiences while meeting regulatory standards and making their advertising more efficient.
DeepIntent has a number of awards to its name, including recognition for its HealthFirst Vaccine Audiences solution, which was named one of 2024's most innovative products by PM360. With this and continuing growth, the company is well-positioned to lead in health advertising for years to come.
Steph
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Company benefits
- 401(K) Matching: Our 401(k) program includes a 4% company match
- Referral Bonuses: Since great people know great people, we offer referral bonuses up to $5,000
- Generous Benefits: Our top-notch healthcare benefits include free dental and vision
- Pet Insurance: With Fetch, our top-notch health insurance also extends to your pets
- Parental Leave: We offer up to 16 weeks of paid leave to new parents
- Wellness Benefits: We care about your whole health and offer free fitness, family planning, and meditation resources
- Flexible PTO: We offer a flexible PTO program
- Tech Stipend: DeepIntent provides a monthly stipend for Wi-Fi and cellular service
- WFH Allowance: We want to help you set up your home workstation for success
- Team Events: We have a fun team and offer plenty of opportunities to connect
Company HQ
Theater District, New York, NY
Leadership
Chris Paquette
(Founder & CEO)Previously worked as a Data Scientist at the Memorial Sloan Kettering Cancer Center.
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