Business& Data Analyst

Business& Data Analyst

ITMAGINATION

Lokalizacja
Praca zdalna
Business Analysis
Data Analysis
Salesforce
Power BI
SQL
ETL
Data Engineering

Hexjobs Insights

ITMAGINATION seeks a Business & Data Analyst to analyze business requirements, support data functions, and collaborate with technical teams. Remote work in Warsaw is available.

Słowa kluczowe

Business Analysis
Data Analysis
Salesforce
Power BI
SQL
ETL
Data Engineering

ITMAGINATION, now part of a Virtusa Group helps its Clients by becoming a true extension of their software and data development capabilities. Through the readily set up, comprehensive, and self-governing teams, we let our Clients focus on their business while we make sure that their software products and data tools scale up accordingly and with outstanding quality. We are looking for team player to fill Business & Data Analyst position in a dynamic international project. 

  • Analyze, document, and translate business requirements into functional specifications for enhancements, integrations, or reporting solutions.
  • Understand and map processes across Sales, Finance, and Contract Management areas.
  • Act as a liaison between business stakeholders and technical teams (IT, Data Engineering, Development).
  • Evaluate business needs in Salesforce (SFDC), finance/sales applications, and other systems to ensure alignment with data flows and reporting requirements.
  • Support business stakeholders in defining KPIs, metrics, and reporting expectations.
  • Conduct impact assessments for changes across applications and data pipelines.
  • Drive continuous improvement initiatives in business processes, data usage, and system functionality.
  • Perform detailed data analysis to support business decisions, process improvements, and root-cause investigations.
  • Validate data outputs, perform reconciliation testing, and ensure accuracy of business data.
  • Participate in designing and validating data models used for business reporting.
  • Support creation of Power BI dashboards by defining business rules, metrics, and data definitions.
  • Collaborate with Data Engineers on SQL queries, ETL workflows (SSIS), and integration points—focusing on functional correctness and business logic.
  • Monitor data quality issues, define remediation plans, and improve data governance across business applications.

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