Junior Data Operations Analyst - Air

Excel & Automation Ninja Wanted to join our Data departmentLocation: BucharestAs a Junior Data Operations Analyst you’ll be handling massive amounts of unstructured and complex data provided by some of the world’s largest companies.Xeneta provides data and market intelligence for the air cargo industry, working with shippers, freight forwarders and airlines to create greater transparency in the market. We gather large amounts of data on freight rates and market movements, helping our customers benchmark performance, understand market developments and make better decisions around pricing and supply chains.As data standards are limited across the freight industry, you will work closely with customers and internal stakeholders to understand their data, ensure the quality and structure required for rate benchmarking, and support data-related questions throughout the customer journey.Beyond processing data, we expect you to develop a strong understanding of what the data represents, recognize when something does not make sense from an air freight perspective, and help translate customer requirements into reliable data solutions. You will also use Python, Excel and automation to improve how we process and validate data, reduce repetitive manual work, and contribute to new tools and processes that improve data quality and team efficiency.Bring your interest in air freight, Excel and Python tool suite, a problem-solving and analytical mindset, and a keen eye for detail, and join our team!What you will be doingUnderstand and process complex global air freight data to ensure accurate and timely delivery of data to our platform.Develop a strong understanding of our customers’ data, business requirements and use cases, working closely with Customer Success and Sales to answer data requests throughout the procurement lifecycle, including tender / RFQ, contract management, rate updates, spend analysis and budgeting.Build and apply your understanding of air freight operations, market dynamics and pricing, including spot and long-term markets, to interpret data, investigate unexpected patterns and structural changes, and identify potential data-quality issues.Use Python and Excel to process, validate and automate recurring data workflows, reducing manual work and improving scalability, reliability and data quality.Identify repetitive or manual processes and help develop automated solutions that allow the team to focus more on exceptions, investigations and customer needs.Work with customers and internal stakeholders, including Data Science, Market Analysis, Tech and Product, to understand and resolve data-quality issues and develop new data management solutions and actionable insights that improve the customer experience.Your background and experienceIn this role, we are looking for someone with the following skills: Bachelor degree in Business Administration, Economics, Mathematics, Engineering or a related field.Knowledge of the air freight industry is a plus, but above all we are looking for someone with a genuine interest in the market and a willingness to learn its key concepts, processes and pricing structures.Solid proficiency in Excel.Experience using Python for data processing, analysis and/or automation.Fluent in English, oral and written.In addition, we are looking for the following personal traits: A genuine customer-centric mindset, with the ability to understand the customer’s underlying need rather than simply processing what has been provided.Strong analytical and problem-solving skills.High attention to detail and the ability to recognize when data does not make sense.Curiosity and a willingness to investigate issues rather than accepting data at face value.Outstanding team player, while also fully capable of working independently.A continuous-improvement mindset and an interest in finding better and more scalable ways of working.Bonus points for:Professional experience within air freight, freight forwarding, airlines, logistics or supply chain.Experience working directly with customers or other external data providers.Experience working with complex and unstructured datasets.Experience with SQL.Experience with Snowflake or another cloud data warehouse.Experience developing automated data-quality checks or recurring data-processing workflows.What we offerWe will help you grow your career: We help you identify areas of growth for you, whether you want to grow as a specialist in your field or eventually want to go into a leadership/management role.We have a transparent and open work environment where everyone is empowered to make an impact and encouraged to voice their ideas.You will receive an individual education budget and can educate yourself during work hours: you can spend several hours each month attending courses, reading books or getting involved in communities.We have flexible working hours (core time with meetings is 10:00 to 15:00, the rest is up to you), and you can work remotely for extended periods when needed.We value work-life balance and want to make sure you can spend quality time with your family or enjoy your hobbies when your workday is over.Make sure to highlight your past achievements that you think are relevant. Be sure to give us an idea of who you are as a real live person and not just your professional experience.Xeneta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Looking forward to hearing from you!