Senior Insight Analyst — Application Portfolio

I find what the data is hiding and turn it into a story that makes people act.

Three years building behavioral analytics, designing lifecycle experiments, and translating complex data into narratives that moved retention, conversion, and engagement decisions for consumer-facing products.

See a sample insight
30+
A/B experiments independently designed, analyzed, and presented to clients
15+
Enterprise clients served with custom behavioral insight delivery
18%
Churn reduction through behavioral segmentation on 100K+ user sessions

Sample Insight

How I think about subscription data

This is the kind of analysis Antenna delivers every day. I built these samples using public streaming data to show how I approach subscription behavioral analysis and insight delivery.

Acquisition and Churn

Streaming services win subscribers in Q4. They lose them in Q1. The gap between those two numbers is where the real business problem lives.

Premium SVOD services have conditioned subscribers to sign up around major content moments. The result is predictable Q4 acquisition spikes followed by equally predictable Q1 churn waves. The question is not why subscribers leave. It is whether a service has built enough habit before the content moment ends.

Illustrative SVOD acquisition vs churn by quarter
Q1 Acq.
Low
Q1 Churn
High
Q2 Acq.
Mid
Q2 Churn
Mid
Q3 Acq.
Mid
Q3 Churn
Low
Q4 Acq.
Peak
Q4 Churn
Low
Q4 acquisition numbers tell you how good your marketing is. Q1 retention numbers tell you how good your product is. Services that conflate the two are optimizing for the wrong thing.
Bundling and Retention

Bundled subscribers churn at roughly half the rate of standalone subscribers. The bundle is not a pricing strategy. It is a retention strategy.

When a subscriber pays for a bundle, they are not just buying more content. They are increasing the cost of leaving. Every additional service in a bundle raises the cancellation threshold. Bundled subscribers show significantly lower single-month churn and are far more likely to pause rather than cancel during low-engagement periods.

Illustrative 90-day churn: standalone vs bundled
Standalone
~32%
2-service
~18%
3+ services
~11%

Discovery behavior in the first 30 days is the strongest leading indicator of 90-day retention. Not monthly active users. Not cancellation rate. Early content discovery breadth.

If your retention strategy depends on content alone, you are one bad season away from a churn spike. Bundling is the structural hedge that content cannot provide.

Why Antenna

Antenna does the kind of analytics work I want to spend my career on.

Most analytics roles are internally focused. You answer questions for one company about their own data. Antenna builds a market-wide view of subscriber behavior that no single service could see on its own. That is a fundamentally more interesting analytical problem.

I distill complexity into one clear finding

The analysis is never the deliverable. The insight that changes how a room thinks is the deliverable. That is how I approach every piece of work I ship.

I have delivered insights to external clients

At Vue.ai I presented behavioral analysis to 15+ enterprise clients. I know how to read a room, adjust the narrative, and make complex data land without losing the nuance.

I am genuinely interested in subscription economics

How people decide to stay, pause, or leave a subscription is one of the most behaviorally rich questions in consumer analytics. This is the direction I want to grow in.

I thrive in fast moving startup environments

I have worked where the data infrastructure was being built at the same time as the product. I know how to produce good analysis when the foundation is still being poured.

Relevant Work

Where the insight experience came from

Every example below maps directly to what the Senior Insight Analyst role requires.

Client Insights

Vue.ai

Behavioral Insight Delivery for 15+ Enterprise Clients

Analyzed 100K+ user sessions in SQL to identify behavioral patterns tied to churn and disengagement, then translated those findings into clear retention narratives that client teams could act on. The work required knowing which number mattered, how to explain it without jargon, and how to frame it as a recommendation rather than just an observation. This is directly parallel to how Antenna delivers syndicated insights to media and streaming clients.

18% churn reduction across the portfolio
Experimentation

Vue.ai

A/B Testing Program Across 30+ Experiments

Independently designed, ran, and presented findings from 30+ A/B experiments covering pricing, promotions, and personalization for global retail clients including Adidas, Zara, and Crocs. Presenting experiment results to non-technical stakeholders requires translating statistical significance into business language without losing the nuance. That skill is central to what Antenna's insight team does every day.

22% improvement in campaign ROI
Funnel Analysis

Vue.ai

Consumer Funnel Mapping Across Acquisition and Conversion

Mapped full consumer funnels across acquisition, activation, and conversion for 15+ enterprise clients by combining product and web behavioral data. The output was not a funnel report. It was a prioritized list of where to focus and why, backed by data and framed for a business audience.

60% lift in engagement, 55% increase in conversion
Stakeholder Reporting

WPTI, New York

Cohort Insight Delivery for Program Leadership

Translated cohort behavior and engagement trends across 20K+ member records into clear performance narratives for senior program leadership. Built dashboards that gave non-technical stakeholders direct access to the metrics that mattered without requiring analyst support every time they needed an answer.

25% reduction in member dropout rates

Let's talk about what the subscription data is actually saying.

I would love to walk through how my experience maps to the work Antenna's insight team does every day. Happy to dig into the sample analyses above or discuss the role in more detail.