JustJoin.IT Praca zdalna Senior New

Senior Business Analyst (Data & Analytics)

DataArt

⚲ Wrocław, Warszawa, Lublin, Kraków, Łódź

14 000 - 21 400 PLN netto (B2B) | 12 000 - 17 500 PLN brutto (UoP)

Wymagania

  • Financial Services industry experience.
  • SDLC
  • SQL
  • DWH concepts
  • agile methodologies

Opis stanowiska

Position overview

We are seeking a highly motivated and detail-oriented Senior Business Analyst to support the evolution of our data and analytics platforms. This role requires a strong blend of business analysis expertise and data-oriented thinking, including experience working with large data volumes, relational databases, data warehousing concepts, and reporting solutions.

The ideal candidate will work closely with business stakeholders, data engineers, BI developers, and product teams to define requirements, analyze data, manage delivery backlogs, and ensure that data products and reporting solutions meet business needs.

Responsibilities
• Collaborate with business stakeholders to gather, analyze, validate, and document business and data requirements.
• Translate business needs into functional, operational, reporting, and data requirements.
• Create clear and structured requirements documentation, user stories, process flows, and acceptance criteria.
• Analyze and validate data using SQL and relational databases to support requirement discovery, data quality investigations, and solution validation.
• Work closely with data engineers, BI developers, and product teams to ensure alignment between business objectives and technical implementation.
• Review, create, prioritize, and manage Jira backlog items, user stories, and enhancement requests.
• Understand and document data flows across systems, including source systems, transformations, warehouses, and reporting layers.

Requirements
• 4+ years of experience as a Business Analyst, preferably within data-intensive environments.
• Financial Services industry experience.
• Strong understanding of business analysis methodologies and software development lifecycle (SDLC).
• Solid understanding of how data flows through an organisation — from source systems through to reporting layers; able to read data models, dictionaries, and lineage diagrams
• Comfortable writing basic-to-intermediate SQL to independently verify data and investigate discrepancies without relying on engineers
• Familiar with DWH concepts and modern data platforms (Snowflake, Databricks) — understands layering, data flow, and can hold a meaningful conversation with a data engineer
• Understands data governance fundamentals: ownership, stewardship, data quality rules, lineage, and PII/access considerations
• Experienced in defining reporting requirements — metrics, calculation logic, dimensions — and bridging the gap between business users and BI developers
• Experience working with Agile methodologies and Jira backlog management.
• Strong analytical and problem-solving skills with the ability to independently investigate data-related issues.
• Excellent verbal and written communication skills.

Nice to have
• Asset Management domain experience.
• Experience working with enterprise reporting and BI solutions.
• Familiarity with cloud-based data ecosystems and analytics architectures.

🔍 Dekoder Ogłoszenia

🟡
support the evolution of our data and analytics platforms
Może oznaczać zarówno rozwój istniejących platform, jak i budowanie nowych od podstaw, co wymaga elastyczności i adaptacji.
🟡
strong blend of business analysis expertise and data-oriented thinking
Oczekuje się, że kandydat będzie potrafił nie tylko zbierać wymagania biznesowe, ale także rozumieć i analizować dane, co może oznaczać potrzebę głębszej wiedzy technicznej.
🟡
manage delivery backlogs
Może oznaczać zarówno tworzenie i priorytetyzację backlogu, jak i faktyczne zarządzanie jego realizacją, co może wymagać większego zaangażowania w proces deweloperski.
🟡
ensure that data products and reporting solutions meet business needs
Kandydat będzie odpowiedzialny za końcowy sukces rozwiązań, co może wiązać się z presją na wyniki i koniecznością rozwiązywania problemów.
🟡
Analyze and validate data using SQL and relational databases
Wymaga praktycznej umiejętności pisania zapytań SQL do analizy danych, a nie tylko teoretycznej wiedzy o bazach danych.