Product Analyst

About us:

Since launching our first AI coding assistant in 2018, Tabnine has pioneered generative AI to elevate the coding experience for over 1M developers worldwide across thousands of companies. Our mission is to help development teams of every size speed up and simplify the software development process, with AI while maintaining the highest standards of privacy and security. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to their teams. Unlike generic coding assistants, Tabnine is the AI that you control.

Our product management team is looking for a top-tier analyst, who can lead analysis processes end-to-end - from phrasing the right questions, through identifying the right metrics to answer them, to performing the analysis and verifying its validity and reliability.

Requirements:

Requirement:

4+ years of experience in similar roles in technology companies.
Advanced skills in SQL and BI tools (e.g., Looker; Tableau).
Demonstrable experience in Python and its relevant data analysis packages.

In the recruitment process you will be expected to demonstrate an end-to-end analysis project you’ve led, from definition to execution and quantification of the business/product impact.

Responsibilities:

Responsibilities:

Be the primary analytical focal point for the company.
Facilitating our data-driven decision making process, to impact our product roadmap and as well as business decisions.
Extracting analytics, insights and recommendations from structured and unstructured data sets.
Develop hypotheses, design experiments, and conduct A/B tests to measure the impact of product changes and optimize key metrics.
Create and maintain dashboards to track product performance, monitor KPIs, and communicate insights to the team.
Collaborate with product managers, designers, and engineers to identify opportunities for product improvements based on data-driven insights.
Answer non-trivial questions from stakeholders, and transform one-off analyses to operational reports and dashboards.