Financial Reporting Specialist

Schedule: 1 FTE (40 hours/week)

Location: Lithuania (hybrid). 

Since our company HQ is located in Vilnius and we value fostering a strong team culture, candidates located in Vilnius district are expected to work on-site 4 days per week (Friday optional) during the trial period to build stronger connections and collaboration within the team. 

We are Baltic Assist – the Lithuanian outsourcing company, experts in finding creative ways to expand the local job market and provide new, exciting opportunities for the best talent. Built on core values like transparency and innovation, our team is constantly working on making BA the top choice when it comes to your career.

If you have good analytical skills and consider yourself an innovative, driven, and passionate finance professional - we are looking for you to join the Baltic Assist team and work with an enterprise intelligence company. They help organizations accelerate data-informed business decisions by providing unique machine-learning-powered data and analytics platform.

• Gathering and managing financial data (e.g., funding and investor information) manually according to internal guidelines to cover the data points required for a complete profile.
• Reviewing and updating existing profiles, completing them with all requested data points, producing financial reports, and carrying out financial data QA.

• Solid analytical skills with a focus on working with business data. 
• Proficiency in Excel, Google Sheets, or similar data management tools.
• A relevant degree in finance, economics, or a related field would be preferred.
• An accountable and disciplined approach to handling large amounts of data with accuracy and attention to detail. 
• Strong writing skills with the ability to create concise and clear reports from complex data. 
• A high degree of independence, with the ability to meet tight deadlines. 
• Systematic thinking, able to organize and prioritize multiple data sources and tasks. 
• Comfortability working with monotonous tasks when required, while ensuring data quality is maintained.