Data Analyst

Paessler AG

Nürnberg

Presencial

EUR 60 000 - 75 000

Tempo integral

Há 2 dias
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Vantagens oferecidas por esta oferta de emprego

Flexible working hours
Family-friendly environment
Structured onboarding
Innovative team culture

Resumo da oferta

Paessler AG is expanding its seven-person BI team in Nürnberg to deliver AI-assisted self-service analytics and govern data-driven decisions. You will translate business questions into analyses, build dashboards, and guide stakeholders through new analytical approaches while collaborating with Sales, Marketing, Finance, Product, and Revenue Operations.

You’ll work with ThoughtSpot, Power BI, and Azure SQL to explore data, validate hypotheses, and mature data quality and governance as part of a

Qualificações

  • At least two years in data analysis, BI, analytics consulting, or Revenue Operations analytics.
  • Strong business acumen and a track record of influencing decisions through analysis.
  • Strong SQL skills and experience with relational databases, data validation, and dimensional models.
  • Hands-on experience with ThoughtSpot or another modern BI platform such as Power BI, Tableau, or Looker and working with LLMs.
  • Clear communication in German and English, including explaining assumptions, limitations, and trade-offs.
  • Proactive, curious, adaptable, and accountable working style with a knack for exploring new approaches and constructive challenge.

Responsabilidades

  • Partner with Sales, Marketing, Customer Success, Finance, Product, and Revenue Operations to translate business questions into analyses and recommendations.
  • Analyze performance drivers such as pipeline, conversion, revenue, customer segments, and product usage, explaining why results changed.
  • Build and maintain analyses, dashboards, KPI definitions, and reusable data products in ThoughtSpot, Power BI, and Azure SQL.
  • Use SQL to explore data, validate hypotheses, and investigate questions beyond existing reports.
  • Improve metric consistency, documentation, lineage, data quality, and responsible use of data and AI with Data Engineers and stakeholders.
  • Enable users through training and practical guidance so self-service analytics supports better decisions.

Conhecimentos

SQL
Business acumen
Stakeholder influence
BI platforms
German & English

Ferramentas

ThoughtSpot
Power BI
Tableau
Looker
Azure SQL
Synapse Analytics

Descrição da oferta de emprego

Join our seven-person BI team and work at the intersection of business, data, and enablement. You will clarify decisions, identify the right KPIs, challenge assumptions, and deliver actionable insights. As we expand into a new AI-assisted BI platform, you will help establish governed, AI-assisted self-service analytics, experiment with new analytical approaches, and guide stakeholders through the transition.

YOUR TASKS
  • Partner with Sales, Marketing, Customer Success, Finance, Product, and Revenue Operations to translate business questions into clear analyses and recommendations.
  • Analyze performance drivers such as pipeline, conversion, revenue, customer segments, and product usage, explaining why results changed.
  • Build and maintain trusted analyses, dashboards, KPI definitions, and reusable data products in ThoughtSpot, Power BI, and Azure SQL.
  • Use SQL to explore data, validate hypotheses, and investigate questions beyond existing reports.
  • Improve metric consistency, documentation, lineage, data quality, and the responsible use of data and AI together with Data Engineers and business stakeholders.
  • Enable users through training and practical guidance so self-service analytics supports better decisions without creating competing versions of the truth.
YOUR PROFILE
  • At least two years of experience in data analysis, BI, analytics consulting, or Revenue Operations analytics.
  • Strong business acumen and a track record of influencing decisions through analysis, not only delivering reports.
  • Strong SQL skills and experience with relational databases, data validation, and semantic or dimensional models.
  • Hands-on experience with ThoughtSpot or another modern BI platform such as Power BI, Tableau, or Looker as well as working with LLMs.
  • Clear communication in German (depending on the location) and English, including the ability to explain assumptions, limitations, and trade-offs.
  • A proactive, curious, adaptable, and accountable working style, with the creativity to explore new approaches and the confidence to challenge requests constructively.
Nice to have
  • Experience with ThoughtSpot Spotter or other search-driven and AI-assisted analytics capabilities.
  • Knowledge of Azure SQL, Microsoft Fabric, Synapse Analytics, Purview, DAX, or governed enterprise datasets.
  • Experience with SaaS, subscription, usage-based licensing, sales operations, or product analytics.
FACTS FOR YOU
  • Many possibilities to further develop your individual skillset
  • Innovative and creative work environment with plenty of room for new ideas
  • A structured onboarding phase with experienced colleagues
  • Flexible working hours and a family-friendly environment
  • A great working atmosphere in an enthusiastic international team with flat hierarchies
  • Paessler is a fast-growing midsized company that has been in the market for 20 years. The company is focused on long-term goals and is currently comprised of 400+ employees
INTERESTED?

And at the end, a very important note:

For us, diversity is more than just a word — it's a commitment. Our job posts are geared towards all people, regardless of their gender, sexual orientation, background, faith, or physical abilities. We value diversity and strive to create a work environment that prioritizes equal opportunities and inclusion. In line with this objective, please note that candidates with severe disabilities will be given preferential consideration over applicants with equal qualifications. At Paessler, we're determined to break down barriers and provide everyone with the chance to develop their full potential. Please feel free to let us know if you believe there are ways we can improve the wording of our jobs posts or our overall recruitment approach. Let's work together to create a more colorful and inclusive corporate culture!

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