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Alliance for Recruitment
Financial Analyst
Alliance for Recruitment
Alliance for Recruitment

Financial Analyst

Alliance for Recruitment

Job description

  • Analyze financial data, prepare detailed reports, and present it to the management team.
  • Develop, refine, and monitor financial models to ensure accurate financial assessments.
  • Prepare annual budgets and financial forecasts, ensuring they align with business goals and are accurate.
  • Conduct variance analysis between actual and planned results, identify potential risks, and provide recommendations.
  • Collaborate with various departments to improve financial performance and ensure the companys optimal finance management.

Requirements

  • University degree in Finance or related field.
  • At least 3 years of experience in the financial analysis field.
  • Proficiency in financial modeling, budgeting, and forecasting.
  • Analytical thinking and problem-solving skills, with a strong attention to detail.
  • Ability to interpret large data sets, identify trends, and make recommendations
  • Excellent organizational skills and the ability to manage multiple projects and meet deadlines.
  • Excellent English language skills.

Company offers

  • Health insurance.
  • Hybrid work model.
  • Workation opportunities.
Mėnesinis bruto atlyginimasBruto/mėn.  € 3140 - 4132

Vietovė

    Vilnius, Vilniaus apskritis, Lietuva

Laikas

  • Visa darbo diena
Kontaktinis asmuo
Guoda Končiūtė
+370 67306519

Alliance for Recruitment is the biggest recruitment agency in the Baltics, servicing clients in CEE & Nordics and creating a brighter future for people around! We are the largest headhunting house measured by capacity, a number of successful placements, and annual growth, raising a high-performing team of recruitment experts from various industries.

 

Our client – Kalvasta - specializes in comprehensive construction services, catering to a diverse range of industrial and commercial projects for both local and international clients. The company's operations span multiple countries.

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