Main analyst for the Supply Loyalty program, maintaining engagement of our main supply source in the Rides Vertical.
Interim Lead for the Supply Analytics team for 6 months, during which i’ve provided valuable guidance to my peers and regular 1-1s, clarifying ambiguous requirements, delegating functional tasks
In my time as interim lead, i have also brought in Focus days as part of a 20% discovery time agreement. I have also introduced a review system for our work in order to increase the quality of our output
End-to-end feature development, from recognising high stakes opportunities to delivering in-app experiences through data modelling.
Cross functional collaboration, with stakeholders such as Group Product Managers, Engineering Managers and functional analytics leads
Personal roadmap management guaranteeing on time delivery, completely autonomous
Mentoring of other colleagues during organisational changes, such as highlighting opportunities that could benefit both org and individual contributors
I'd keep 'unknown' separate from 'poor fit' at the qualification step, especially when enrichment hasn't run yet. Do incomplete records go into a research queue, or are they filtered out?
Oetux – SaaS Revenue Analytics Dashboard
The client had a lot of data, but the real problem was making sense of it.
MRR, revenue, churn, active customers, growth, customer performance, goals. Every metric was important, but when everything gets the same attention, users don’t know where to look first.
The existing experience made users spend too much time switching between information and trying to connect the numbers.
So we focused on how SaaS teams actually read their business data. We structured Oetux around the questions that matter most.
How is revenue performing?
Are we growing?
Are customers staying?
Where are we losing revenue?
What needs attention right now?
Then we organized KPIs, revenue trends, customer performance, churn insights, goals, and AI powered insights into one clear experience.
The goal wasn’t to remove data.
It was to organize the data so users could understand it faster.
That’s what we solved with Oetux.
Turning a data heavy SaaS dashboard into an experience that helps teams see their business clearly and make better decisions.
Good Amazon product research helps sellers make informed decisions before investing money into inventory.
At Ecomalytics, we provide Amazon Virtual Assistant services, including product research, listing optimization, FBA support, inventory assistance and e-commerce analytics.
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