Senior Data Analyst

Budapest, Hungary

Applications have closed


Looking for seamless payment solutions and trusted tools to help your local businesses? Teya can help you.

View company page

Company Description

Teya exists to make sure that every small and growing business in Europe has the opportunity to thrive. We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business. Teya was born in 2019 and is home to over 1,000 employees in 15+ countries. We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.

Job Description

Your responsibilities will include:

  • Leading the company with data to drive business solutions.

  • Working on projects including but not limited to Financial Reporting, Product Analysis, Onboarding Funnels, Customer Activity and Churn, Customer Operations and more, turning large quantities of data into insights which can be used to inform decision-making.

  • Effectively managing business stakeholders and driving initiatives to promote actionable insights, identifying and prioritising requirements and owning a roadmap to completion.

  • Designing, implementing and maintaining data models that promote a self-service approach to data consumption. This includes ensuring that data quality within the data warehouse is maintained throughout the data lifecycle.

  • Analysing external customer and internal business data and working with teams across different countries to drive optimisation and improvement of our products.

  • Building predictive models to accurately forecast our numbers and evaluate against the budget and actuals.

  • Building and promoting a data-driven culture across the business through training non-data stakeholders with the goal of increased self-service and better interpretation of data insights.


Must have:

  • 3+ years of professional working experience in a Data-related role.

  • Deep understanding of ETL processes and data pipelines and the ability to work closely with Data Engineers for product implementation.

  • Self-starter, comfortable in a fast-paced environment and able to adapt to changing circumstances quickly.

  • Strong Proficiency in SQL and Tableau (or equivalent BI tool).

  • Experience with Data Warehousing concepts, Data Modelling and DBT.

  • Experience with Machine Learning and Python (time-series analysis, forecasting).

  • Proficiency in using Git.

  • Familiarity with AWS environment (SageMaker, S3, Redshift) or Snowflake.

  • Strong analytical and problem-solving skills.

  • Capable of translating complex data into understandable conclusions and recommendations.

  • Ability to think creatively and insightfully about business problems.

Additional Information

  • Competitive salary with a performance-based bonus
  • All You Can Move Sport Pass (XL)
  • Szép Card (Gross 450.000 HUF yearly)
  • Private health insurance
  • 3 extra mental health days yearly
  • Free monthly public transport passes
  • Office snacks every day
  • Friendly, comfortable, and informal office environment in the heart of Buda
  • Flexible working hours, fostering work-life balance
  • Opportunity to work in an international environment with colleagues from around the world

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Data pipelines Data quality Data warehouse Data Warehousing dbt ETL Git Machine Learning Pipelines Python Redshift SageMaker Snowflake SQL Tableau

Perks/benefits: Career development Competitive pay Flex hours Health care

Region: Europe
Country: Hungary
Job stats:  8  4  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.