Print / save as PDF

Senior Analytics Engineer (Business Analytics) – 12-Month Maternity Cover (m/f/d)

Vienna Full-time employee Professional/Experienced
 
70 - 85 K
4,2
Vienna   Full-time employee
 
Professional/Experienced   70 - 85 K
 
4,2
  
Apply

Your tasks:

  • Model the business in data. Design and maintain clean, well-tested dbt Core models that power analytics & reporting.
  • Evolve our warehouse. Lead BigQuery schema design, partitioning/clustering, and cost/performance tuning; drive strategic DWH initiatives and standards.
  • Enable the BA team. Provide SQL/query support, craft best practices and documentation, and help teammates self-serve safely.
  • Build with Data Engineering. Collaborate on ingestion patterns, CI/CD via GitHub Actions, data quality checks, and automations (custom extractor/exporter owned by Data Engineering).
  • Operationalize insights. Partner with Data Engineering to sync curated data to production systems when needed (e.g., WordPress, kununu platform).
  • Quality & governance. Implement dbt tests, documentation, and lineage; monitor and resolve issues proactively. 
 

Your skills:

  • 3-6+ years in Analytics Engineering / BI Engineering / Data Warehousing or similar.
  • Advanced SQL and strong data-modeling fundamentals (star/snowflake, SCDs, entity–fact design, naming conventions).
  • Hands-on BigQuery and dbt Core (CLI in repo); confident with Git/GitHub and GitHub Actions for CI/CD.
  • Stakeholder chops: translate fuzzy business questions into pragmatic data designs and sequenced delivery.
  • Clear documentation habits and an eye for maintainability.

Nice to have

  • Python for analytics engineering utilities.
  • Experience with Tableau Online or comparable BI tools (Looker/Looker Studio, Metabase, Power BI).
  • Familiarity with observability/quality tools (e.g., Great Expectations, Monte Carlo, BigQuery DQ); we use dbt tests today, broader experience welcome.

About the job

Learn more...

Your benefits

Mobile devices also for private use
 
Drinks, food & goodies
 
Sabbatical and part-time options
 
Remote work option
 
Trust-based working hours
 
Communication on equal terms
 
Transparent, competitive salary
 
Bring your dog to the office
 
Up to 12 weeks Workation
 
6 week vacation
 
mobile_devices_for_private_use.png DrinksFood.png sabbatical_and_part_time.png flexible_home_office.png confidential_flexible_working_hours.png Communication.png transparent_salary.png officedogs.png workation.png suitcase.png

Your contact person

You still got questions about the job.
Feel free to get in touch with us.

Cristina Cohi
Senior HR Specialist
Contact me
Apply
Join kununu’s Business Analytics (BA) team, where we turn data into decisions and invest in collaborative learning. You’ll be a key addition on a 12-month maternity cover, helping manage, create, and evolve curated data marts and domain models that power our product and business teams. We value structured knowledge sharing, clear documentation, and continuous improvement.

You’ll work at scale with BigQuery and dbt Core (CLI) - implementing business logic, shaping modeling standards, and sharing best practices across the team. You’ll collaborate closely with Data Engineering, who maintain our custom-built data ingestion and exporter services; when needed, you’ll help operationalize insights to production systems (e.g., WordPress, the kununu platform). While this is primarily an analytics engineering role, you’ll also enable BI outcomes - partnering on Tableau Online (or comparable tools) and supporting deep dives when helpful. This role is on-site in Vienna to maximize fast, high-quality collaboration. #kununujob

Your tasks:

  • Model the business in data. Design and maintain clean, well-tested dbt Core models that power analytics & reporting.
  • Evolve our warehouse. Lead BigQuery schema design, partitioning/clustering, and cost/performance tuning; drive strategic DWH initiatives and standards.
  • Enable the BA team. Provide SQL/query support, craft best practices and documentation, and help teammates self-serve safely.
  • Build with Data Engineering. Collaborate on ingestion patterns, CI/CD via GitHub Actions, data quality checks, and automations (custom extractor/exporter owned by Data Engineering).
  • Operationalize insights. Partner with Data Engineering to sync curated data to production systems when needed (e.g., WordPress, kununu platform).
  • Quality & governance. Implement dbt tests, documentation, and lineage; monitor and resolve issues proactively. 

Your skills:

  • 3-6+ years in Analytics Engineering / BI Engineering / Data Warehousing or similar.
  • Advanced SQL and strong data-modeling fundamentals (star/snowflake, SCDs, entity–fact design, naming conventions).
  • Hands-on BigQuery and dbt Core (CLI in repo); confident with Git/GitHub and GitHub Actions for CI/CD.
  • Stakeholder chops: translate fuzzy business questions into pragmatic data designs and sequenced delivery.
  • Clear documentation habits and an eye for maintainability.

Nice to have

  • Python for analytics engineering utilities.
  • Experience with Tableau Online or comparable BI tools (Looker/Looker Studio, Metabase, Power BI).
  • Familiarity with observability/quality tools (e.g., Great Expectations, Monte Carlo, BigQuery DQ); we use dbt tests today, broader experience welcome.

Your benefits

  • Mobile devices also for private use
  • Drinks, food & goodies
  • Sabbatical and part-time options
  • Remote work option
  • Trust-based working hours
  • Communication on equal terms
  • Transparent, competitive salary
  • Bring your dog to the office
  • Up to 12 weeks Workation
  • 6 week vacation

Your contact person

You still got questions about the job.
Feel free to get in touch with us.

Cristina Cohi
Senior HR Specialist
cristina.cohi@new-work.se