Senior Business Analyst / Business Systems Analyst, FinTech and Data Analytics

Remote.Bulgaria
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Клуж-Напока
Краков
Ларнака
Лодз
Люблин
Рига
София

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Project overview

The FinTech Analytics Platform focuses on building reliable, well-structured data and reporting capabilities to support financial operations and decision-making. The platform integrates multiple systems and data sources to enable analytics, reporting, and regulatory insight across the organization.

The environment combines modern data engineering practices, cloud-based analytics platforms, and scalable reporting solutions to improve data accessibility, consistency, and operational visibility across the business.

Team

You will work within a cross-functional team that includes product managers, data engineers, software engineers, BI developers, and business stakeholders. The team collaborates closely using agile practices and shared ownership of requirements, delivery, and data quality.

Position overview

We are looking for a Senior Business Analyst / Business Systems Analyst with strong exposure to data analytics, reporting ecosystems, and fintech platforms to support the growth of a modern data and analytics environment.

This role sits at the intersection of business analysis, systems analysis, and data architecture, working closely with product, engineering, data, and business stakeholders. You will help define how data flows through the organization, how financial reporting is structured, and how business requirements are translated into clear technical deliverables.

This position is well-suited for someone comfortable working in early-stage or scaling fintech environments who understands data engineering concepts and can bring structure and clarity to ambiguous problem spaces. The role is closer to a hybrid Business Analyst / Data Analyst profile operating within a fintech data platform environment rather than a traditional business analysis role.

Strong financial domain knowledge is considered a significant advantage.

Location: Ireland (preferred), although candidates across the EU will also be considered.

Technology stack

SQL
BI and reporting tools
Data warehouse platforms
Databricks
AWS cloud ecosystem
Data analytics and reporting systems
Agile delivery tools
Documentation and modelling tools

Responsibilities

Engage with business stakeholders to understand objectives, operational processes, and data requirements
Document personas and actors across the data analytics ecosystem, including analysts, data consumers, operational teams, compliance, finance, and risk stakeholders
Capture, refine, and communicate functional and non-functional requirements for data, reporting, and analytics products
Translate business needs into clear and actionable specifications for engineering, analytics, and data teams
Define and maintain logical data flow diagrams across systems, domains, integrations, and reporting layers
Develop and document canonical data models, including key entities, attributes, and relationships
Work closely with data engineering teams to align system tables, schemas, and data contracts with business requirements
Support initiatives focused on organizing, standardizing, and improving customer data ecosystems
Identify gaps, inconsistencies, and opportunities for standardization across data sources and reporting layers
Create, refine, and maintain epics, user stories, acceptance criteria, and backlog items
Ensure stories are technically feasible, testable, and aligned with business value
Support prioritization activities and roadmap planning with product leadership
Define new reporting requirements and review existing reports for accuracy, completeness, and business relevance
Document access rules, data permissions, and user groups for reporting layers
Collaborate with BI developers, analytics engineers, and data engineers to ensure reporting outputs meet business expectations
Support end-to-end testing of data pipelines, dashboards, and reports
Validate data accuracy, completeness, and alignment with defined business logic
Assist with user acceptance testing planning, execution, and sign-off
Participate in cross-functional discussions related to data architecture, reporting strategy, and analytics platform evolution

Requirements

Strong experience working as a Business Analyst or Business Systems Analyst within data-driven environments
Strong understanding of data analytics, data modelling, and data lifecycle concepts
Experience creating logical data flow diagrams, canonical models, and system documentation
Strong understanding of customer data ecosystems, including data ingestion, transformation, storage, and reporting layers
Experience working with modern cloud data platforms and data warehouse environments such as Databricks and AWS
Understanding of data pipelines, ETL/ELT processes, and data integration patterns
Familiarity with SQL, BI tools, and data warehouse concepts, with the ability to interpret data structures and queries
Ability to collaborate effectively with data engineers, analytics engineers, BI developers, and software engineering teams
Experience in analysing complex datasets and validating data quality across multiple systems and domains
Familiarity with data governance, data lineage, and data consistency principles
Experience working closely with engineering teams in agile delivery environments
Experience in fintech, financial services, or investment-related domains
Understanding of financial instruments and financial reporting structures
Experience working with SaaS platforms is considered a strong advantage
Strong written and verbal communication skills
Ability to translate complex technical concepts into clear business-focused language
Comfortable facilitating workshops, stakeholder interviews, and cross-functional discussions
Comfortable working with evolving requirements and ambiguous problem spaces
Experience in early-stage or scaling environments is beneficial
Analytical mindset with the ability to investigate data issues, interpret trends, and support data-driven decision-making

Nice to have

Experience with Databricks, cloud-based data platforms, and the AWS ecosystem is considered a strong advantage
Understanding of modern data warehouse architectures and analytics platforms
Experience supporting initiatives focused on organizing and standardizing customer data ecosystems
Exposure to financial analytics, operational reporting, and regulatory reporting environments is beneficial
Experience working in hybrid Business Analyst / Data Analyst roles is considered an advantage

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Senior Business Analyst / Business Systems Analyst, FinTech and Data Analytics

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