Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.954 € Gross/Month
- Location
- Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you will develop the analytics infrastructure, work on data models in dbt and dashboards in Looker, while generating insights and ensuring data quality.
Job Technologies
Your role in the team
- We are looking for an Analytics Engineer / Data Analyst for our Business Intelligence & Analytics team - at our location in Innsbruck or Vienna, or remotely within the EU - to start immediately.
- This is a combined role: The majority of your time will be spent on Analytics Engineering (building a modeled, tested, and documented data layer) and Data Analytics (translating this data into insights and decisions) - along with some hands-on Data Engineering to keep the pipelines running.
- If you enjoy owning data end-to-end – from the raw source to the dashboard that a stakeholder truly trusts – and are looking to make a real impact in a growing European FinTech, we look forward to hearing from you.
- Design, build, and maintain our transformation layer in dbt on BigQuery - well-structured, tested, and documented data models that enable analytics, data science, and self-service BI.
- Development and enhancement of the semantic/BI layer in Looker (LookML): reliable, company-wide consistent metrics and dashboards for teams across the organization.
- Ensuring end-to-end data quality - testing, documentation, and continuous improvement across the entire stack.
- Analysis of large datasets to identify trends, patterns, and anomalies that drive product and business decisions.
- Definition, implementation, and monitoring of KPIs across various business areas.
- Support for management in forecasts, scenario analyses, and ad-hoc deep dives.
- Communicate and present insights and results clearly and convincingly to stakeholders across the entire organization.
- Define and implement event tracking and instrumentation together with product and engineering teams - decide what to measure and ensure that it is captured cleanly and reliably in the data.
- Translate product and business questions into clearly defined metrics - from the tracking plan to the data model.
- Bring these metrics to life on dashboards that stakeholders actually use for decision-making.
- Assistance in maintaining and expanding our ELT pipelines and orchestration (Fivetran, Dagster) - for reliable ingestion and a high-performance data warehouse.
- Use AI tools to accelerate analyses and enable self-service analytics – e.g., conversational analytics in Looker or AI-powered evaluations.
- Participation in the development of AI-powered internal tools and automations, such as agents for recurring analysis and reporting tasks.
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Our expectations of you
Qualifications
- SQL is a must-have - you write complex queries confidently.
- Proficient in Python for analysis, data preparation, and automation.
- Analytical thinking combined with a strong sense of business impact.
- Proactive, independent work approach and clear communication towards both technical and non-technical audiences.
- Openness and curiosity towards AI tools in the analytics context - you actively use them to work more efficiently and critically evaluate their results.
- Very good English skills (working language); German skills are an advantage.
Experience
- Extensive, hands-on experience with dbt (data modeling, testing, documentation) is central to the role.
- Experience with a cloud data warehouse; BigQuery preferred.
- Experience with a BI/Semantic Layer; Looker/LookML preferred (Tableau or Power BI also welcome).
- Experience in defining metrics and instrumenting event tracking together with engineering (tracking plans, event taxonomies) - you are accustomed to managing measurement from definition to dashboard.
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What we offer
- A meaningful role in a growing European FinTech with real impact on product and strategy.
- Flat hierarchies, an international team, genuine startup culture, and a lot of responsibility.
- Flexible working hours and hybrid work - from home and/or in our modern, centrally located offices in Innsbruck and Vienna.
- Exciting projects and the freedom to contribute your own ideas to a growing scale-up.
- Regular team events and workations.
- For legal reasons, we would like to point out that the gross monthly salary for this full-time position starts at EUR 3,954.00 (14 times annually) according to the IT collective agreement, with a clear willingness to pay above this amount depending on qualifications and professional experience.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Blue Code International AG
Trust us when we say that Bluecode is the best mobile payment solution out there. Not only does it allow for touchless payments via smartphone, but it also comes with a host of digital value-added services.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance, Internet, IT, Telecommunication
Analytics Engineer / Data Analyst
- Salary
- from 3.954 € Gross/MonthNet salary converted from the gross salary in the job ad.from 2.702 € net/Month
- Location
- Innsbruck, Vienna
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
