Product Analyst / BI (AI & Data)

About this role

Banyan Canopy Group is the Excellence Centre for Banyan Software, providing world-class operational support to drive the success of enterprise software businesses worldwide. Based in Karachi, Pakistan, Banyan Canopy Group plays a critical role in Banyan Software’s long-term buy-and-hold strategy, delivering exceptional services that enable sustainable growth and operational excellence. At Banyan Canopy Group, we are committed to fostering talent, streamlining operations, and upholding the highest standards of accuracy and integrity.

About Banyan Software

Banyan Software provides a permanent home for successful enterprise software companies, their employees, and their customers. Our mission is to acquire, build, and grow great enterprise software businesses that hold leading positions in niche vertical markets around the world.

Banyan has been recognized as the #1 fastest-growing private software company in the U.S. on the Inc. 5000 and ranked among the top ten fastest-growing companies on the Deloitte Technology Fast 500.

Founded in 2016, Banyan operates with a permanent capital base designed to preserve the legacy of founders. We follow a long-term, buy-and-hold-for-life strategy, focused on growing software companies that serve specialized vertical markets.

“As a global organization, flexibility to support teams across multiple time zones is important. This is an in-office role, five days per week, with working hours from 2:00 PM to 10:00 PM PKT to align with global teams.”

Job: Product Analyst / BI (AI & Data)

Job Profile:

As a Product Analyst / BI (AI & Data) supporting one of the company’s newly acquired portfolio companies, you will build its data and analytics foundation from the ground up, working directly with the CEO and engineering team. The company operates at real scale, with roughly 5 million users a month, so this role works with meaningful data volume from day one.

This is not a traditional reporting role. You will help instrument events, design data schemas, and work with engineering to build the underlying data pipeline, while also running ongoing, dynamic analysis of financial and user data rather than static, periodically reviewed dashboards. You will also help set up and evaluate AB tests for statistical significance alongside the engineering team.

The core of this role is product analytics: funnels, activation, retention, and segmentation. This is the hardest part to find and the area we weight most heavily, followed by solid financial modeling ability. The ideal candidate is also an AI-native builder who thinks and works with AI as a core part of how they operate, not someone who simply knows a BI tool, and is comfortable in close, real-time collaboration in a fast-moving, chat-driven environment, working directly alongside the CEO and engineering rather than independently. We are prioritizing talent and curiosity over years of experience, ideally someone with a technical and finance hybrid background (for example, a computer science major with a finance minor, or a finance major with a computer science minor); a strong fit on the core priorities matters more than checking every box, the rest can be learned on the job.

Job Responsibilities:

• Own product analytics end to end, funnels, activation, retention, and segmentation, translating user behavior into insights the CEO and team can act on quickly.

• Build solid financial models and reporting on subscription, billing, and revenue data to support business decisions.

• Collaborate in real time with the CEO and engineering team through fast, chat-based back-and-forth, proposing ideas and engaging in direct discussion to reach the best outcome quickly.

• Build and evolve an AI-native analytics stack, using AI tools natively as part of the analysis process rather than as an add-on.

• Help instrument product and business events, and design data schemas, in partnership with engineering to build the company’s core data foundation.

• Work with engineering on the data pipeline to ensure clean, reliable data flows from source systems (subscription, Stripe billing, Banana ERP) into usable structures.

• Set up and evaluate AB tests for statistical significance, working closely with engineering to ensure tests are configured and read correctly.

• Run ongoing, dynamic analysis of financial and user data, iterating quickly rather than producing static, periodically reviewed dashboards.

• Support ad hoc analysis and shifting priorities, staying comfortable wearing multiple hats in a small, fast-moving team.

• Ensure accuracy and consistency of data used for reporting, analysis, and testing.

Qualifications for Success:

• Strong, demonstrated ability in product analytics, funnels, activation, retention, and segmentation; this is the core of the role and the top priority in our search.

• Solid financial modeling and…