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Financial/Data Analyst

Infotree Global Solutions
Posted a month ago, valid for 2 days
Location

Lublin, WI, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The job is located in Warsaw, Poland, requiring an on-site presence five days a week for a 12-month CoE/B2B contract.
  • Candidates should have experience working with financial data, reporting, or financial systems, along with strong SQL skills and knowledge of Python for automation.
  • The role involves administering IBM Planning Analytics and Cognos Analytics, managing financial data processes, and preparing data for reporting and analysis.
  • Fluency in both English and Polish is required, along with good communication skills and the ability to collaborate with cross-functional teams.
  • The salary for this position is not specified, but relevant experience with large datasets and data quality assurance is essential.

Location: Warsaw (Poland)

Working model: hybrid (from time to time to the office)

Contract type: B2B

Contract duration: 12 months (with the possibility of extension)

Key Responsibilities

  • Administer, maintain, and support IBM Planning Analytics (TM1) and IBM Cognos Analytics applications.

  • Assist with the development and enhancement of financial planning and reporting solutions.

  • Manage and monitor financial data loading processes from multiple source systems.

  • Validate data quality, consistency, and integrity across financial applications.

  • Prepare and transform financial data for reporting, forecasting, and business analysis.

  • Develop and maintain SQL queries to support data extraction and validation.

  • Create and enhance Python scripts to automate data processing and improve operational efficiency.

  • Support Windows Server administration related to finance applications.

  • Investigate and resolve system and data-related issues in collaboration with Finance and IT teams.

  • Contribute to process improvements and documentation of financial systems and procedures.

Requirements

  • Experience working with financial data, reporting, or financial systems.

  • Good knowledge of Python for automation and data processing.

  • Strong SQL skills for querying and validating data.

  • Analytical mindset with excellent attention to detail.

  • Experience working with large datasets and ensuring data quality.

  • Good communication skills and the ability to collaborate with cross-functional teams.

  • Fluent English (written and spoken).




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