Transaction Data Specialist – Finnish, Swedish or Norwegian

SubaioAalborgthehubpublished 09/30/2026
Must-have:FinTech

Subaio is looking for temporary employees to help us enrich and improve transaction data across the Nordic markets. This is a great opportunity for someone with strong language skills and a good understanding of local culture, merchants, and consumer behavior.

We are hiring three temporary Transaction Data Specialists , with one position focused on each of the following markets: 🇫🇮 Finland – Native-level Finnish speaker 🇸🇪 Sweden – Native-level Swedish speaker 🇳🇴 Norway – Native-level Norwegian speaker

The role Your main responsibility will be to enrich transaction data by identifying and categorizing merchants and ensuring that transaction information is accurate and relevant to local consumers. You will use your native language and knowledge of the local market to help us understand and classify merchants across your respective country.

We are looking for someone who Is a native-level speaker of Finnish, Swedish, or Norwegian

Has a strong understanding of the local culture and consumer landscape

Has good knowledge of merchants, brands, retailers, restaurants, services, and businesses in the relevant country

Has a keen eye for detail and enjoys working with data

Is structured, reliable, and comfortable working independently

Can start immediately

About the positions 3 temporary positions (1-2 months)

One position for each market: Finland, Sweden, and Norway

Start date: Immediately

Work out of our Aalborg office with the flexibility to work from home

Flexibility in working hours – onboarding will be during working hours 8 am – 4 pm

An opportunity to gain experience in a growing fintech company and contribute to improving how transaction data is understood and used

About Subaio At Subaio, we help people understand and manage their recurring payments and subscriptions. High-quality transaction data is at the heart of what we do, and your local market knowledge will play an important role in making our data more accurate and useful. Interested? We'd love to hear from you.