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Deloitte

Audits companies and advises on tax and technology

Junior Finance Transformation Consultant

Financial & Transaction AdvisoryConfirmed live in the last 24 hours
ContractThessaloniki, GreeceNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Economics, Finance, Business Administration, or a related field is required; the Integration & Data Analytics for Finance stream also accepts a degree in Computer Science, Information Systems, Management Engineering, Economics, or a related discipline.
  • Fluency in spoken and written English is required.
  • For the Planning / Accounting FSI and EPM streams, a solid background in financial accounting and controlling is required.
  • Basic understanding of programming or data-querying languages such as Python or SQL is required.
  • Good knowledge of Microsoft Excel is required.
  • Candidates must be able to collaborate effectively within a team and work independently when needed.
  • For the Integration & Data Analytics for Finance stream, a good understanding of relational databases and SQL is required.
  • For the Integration & Data Analytics for Finance stream, candidates should have interest in or basic knowledge of ETL/ELT, data mapping, transformation logic, reconciliation, and data-quality controls.
  • For the Integration & Data Analytics for Finance stream, a basic understanding of data warehouses, data lakes or lakehouses, APIs, and cloud services is required.

Responsibilities

  • Support planning and control activities, including budgeting, forecasting, and performance monitoring.
  • Work on data integration from source systems such as ERP systems and data platforms into EPM solutions and from EPM solutions to other applications or staging areas.
  • Support project governance for finance transformation programs by tracking initiatives, preparing status reports, and supporting stakeholders.
  • Learn to design, configure, and support EPM solutions for finance planning, consolidation, and performance reporting.
  • Support planning and accounting initiatives in the financial services industry, including planning cycles, accounting processes, and performance measurement.
  • Analyze and structure financial data to support regulatory, reporting, and management requirements.
  • Collaborate on solution design and documentation for finance transformation projects in financial services.
  • Design and implement data integration flows between source systems and target finance, EPM, or analytics solutions.
  • Use ETL/ELT tools, APIs, and scripting languages to move, transform, and expose financial data, and define data models that support accurate and consistent reporting and planning.
  • Support the design and maintenance of technical interface components and cloud-based data architectures, including data lakehouse environments.
  • Participate in designing and implementing business intelligence and data analytics solutions, creating interactive dashboards and analytical reports that translate finance requirements into clear visual outputs.
  • Collaborate with functional finance and technology teams to translate business requirements into technical integration specifications and implementations.
  • Learn how finance transformation initiatives enhance organizational performance while developing knowledge of data analysis, data management, performance management processes, and analytical skills.
  • Gain hands-on experience designing data governance frameworks, KPI monitoring capabilities, and planning and reporting solutions.

Desired Qualifications

  • Proficiency in Italian is an advantage.
  • Exposure to EPM, business intelligence, or ERP platforms such as Oracle EPM, Tagetik, Anaplan, Board, or SAP is a plus.
  • For the Integration & Data Analytics for Finance stream, exposure to data integration, data engineering, business intelligence, ERP, EPM, or cloud implementation projects is a plus.
  • For the Integration & Data Analytics for Finance stream, basic knowledge of Python, PySpark, Java, or Scala is a plus.
  • For the Integration & Data Analytics for Finance stream, familiarity with Informatica, ODI, Azure Data Factory, SSIS, or Talend is a plus.
  • For the Integration & Data Analytics for Finance stream, exposure to Microsoft Azure, Databricks, Snowflake, AWS, or Google Cloud Platform is a plus.
  • For the Integration & Data Analytics for Finance stream, familiarity with Power BI, Qlik Sense, or Tableau and the ability to develop interactive dashboards and analytical reports are strongly preferred.
  • For the Integration & Data Analytics for Finance stream, knowledge of KPI design, Power Query, DAX, or equivalent tools is a plus.
  • For the Integration & Data Analytics for Finance stream, interest in finance transformation and understanding finance data such as general ledger, cost centers, budgeting, or forecasting are advantages.

About the Company

Deloitte

Audits companies and advises on tax and technology

Deloitte audits companies and advises businesses and governments on tax, technology, and risk, and it is one of the Big Four, the world's four largest accounting firms. In 1849 its founder became the first independent auditor of a public company, Britain's Great Western Railway. Its auditors check companies' financial reports for errors and fraud before investors rely on them, while its consultants design strategy, install business software, and defend clients against cyberattacks. Clients pay fees for each audit or project, and each country's Deloitte firm is a separate business owned by its local partners. Deloitte was founded in London in 1845 and is based in New York.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$17.1M
Headquarters
New York, NY
Founded
1845

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