Business Analyst

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:

Our client is a US-based Automotive finance calculation and online marketing data aggregation SaaS.
The product is oriented on the B2B segment, specifically on Sales and Marketing Managers in the US Automotive niche. The goal of the product is to eliminate existing data lack, providing a modern UI/UX experience.

About the role:

We are looking for a skilledSystem/Business Analyst with solid tech skills which should allow the best match candidate to be independent in integration and business problems research and solutions finding, solutions design with non-functional and functional requirements delivery, and domain data modeling.

Requirements:

– Experience with API & integration testing;
– Strong analytical skills (Excel, fast learner);
– Familiar with Grok, GPT, and Cursor;
– Hands-on experience in test design, test planning, bug lifecycle management (test automation is a plus);
– Knowledge of QA/QC infrastructure: Jira, Confluence, CI/CD, reporting, Docker;
– Experience with React, Elastic UI Framework, Microsoft Fluent UI, Nest.js, Typescript;
– Knowledge of AWS, MongoDB, Postgres, Slack, Google Sheets, Excel, and Postman.

Nice to have:

– Experience with Loans and Leasing calculations;
– Have been part of integration projects and are not scared of XML heavily loaded with data, Rest APIs.

Responsibilities:

– Researching integration problems/capabilities with 3rd party systems;
– Researching business problems’ solutions;
– Deciding on the expected business value;
– Drafting nonfunctional requirements;
– Detailing Domain Models and requirements;
– Preparing UI functional requirements;
– Formulating the main backlog;
– Establishing acceptance criteria;
– Prioritizing backlog items;
– Setting up preparation activities;
– Tracking the development process.

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