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Keywords Studios is hiring a Finance Data Analyst

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Katowice, Poland
Posted 25 days ago
27 views

Job Description

We are looking for a Finance Data Analyst with strong technical and reporting expertise to take full ownership of financial data preparation, consolidation, and reporting outputs across Service Lines. The role focuses on building, maintaining, and delivering accurate, consistent, and scalable financial reports and datasets in required formats. The Finance Data Analyst is responsible for the technical production of financial information, ensuring high data quality and readiness for further analysis and interpretation by senior finance stakeholders.

Key Responsibilities

1. Financial Reporting & Data Ownership

  • Own the end-to-end process of financial report preparation, including data extraction, transformation, validation, and consolidation.
  • Produce recurring and ad-hoc management and stakeholder reports in required formats (e.g. MBR, EQT, SL reporting).
  • Ensure consistency of figures across reports, systems, and data sources.
  • Act as the primary owner of financial reporting datasets used for downstream analysis.

2. Power BI & Reporting Solutions

  • Design, build, and maintain Power BI dashboards, datasets, and reporting models.
  • Translate reporting requirements into robust, scalable Power BI and Excel solutions.
  • Continuously improve automation, structure, and performance of reporting outputs.
  • Maintain documentation of reporting logic and data flows.

3. Data Consolidation & Technical Finance Support

  • Consolidate financial data across Service Lines, regions, and legal entities.
  • Prepare structured datasets to support:
    o Monthly Business Reviews (MBR)
    o Internal and external stakeholder reporting
  • Ensure correct mappings, allocations, and reconciliations across reporting layers.
  • Support enhancements across MSL, PE, and other reporting frameworks.

4. Data Quality, Controls & Validation

  • Perform detailed data validation, reconciliations, and variance checks prior to report delivery.
  • Identify and resolve data quality issues in cooperation with data source owners.
  • Establish and maintain reporting controls to ensure accuracy and repeatability.

5. Process Improvement & Standardization

  • Identify opportunities to streamline reporting processes and reduce manual effort.
  • Support finance transformation initiatives related to reporting, tooling, and data flows.
  • Contribute to building a scalable and reliable reporting foundation to support growing Service Line demands.

Requirements

Key Skills & Competencies

  • Strong analytical and technical finance skillset with a focus on data accuracy and structure.
  • Advanced Excel skills (complex formulas, pivots, structured datasets).
  • Strong Power BI experience (data models, measures, dashboards).
  • Experience working with large, complex datasets from multiple sources.
  • High attention to detail and strong sense of ownership.
  • Ability to work independently and manage recurring reporting deadlines.

Qualifications & Experience

  • Education: Bachelor’s degree in Finance, Economics, Data Analytics, or a related field.
  • Experience: 3-5+ years of experience in finance, controlling, reporting, or data-focused analyst roles.
  • Experience in global organizations or service-based environments is a plus.
  • Technical Skills:
    o Advanced Excel
    o Power BI (required)
    o Experience with financial consolidation and structured reporting.
  • Language: Fluent English (written and spoken).

Benefits

Private Medical Care

EAP system for supporting Employees

Cafeteria System

Leisure Zones in the office

Privacy Notice
By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice. For more information, please see our Applicant Privacy Notice at https://www.keywordsstudios.com/en/applicant-privacy-notice.

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Salary Information

Salary: $65,000 - $100,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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