Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du datenbasierte Analysen zur Unterstützung der Geschäftsprozesse, indem du SQL-Abfragen schreibst, Dashboards erstellst und sorgfältig Datenqualitätsprobleme untersuchst.
Job Technologien
Deine Rolle im Team
- Build a solid understanding of Hospitality's business processes, customers, and data so you can answer questions accurately and with the right context.
- Perform analyses such as segmentation, customer health checks, and impact measurement to help teams understand how the business is performing.
- Write SQL queries and build datasets to answer stakeholder questions, pulling from multiple data sources as needed.
- Build and maintain dashboards and reports that make it easy for business partners to track KPIs and spot trends.
- Work with stakeholders to understand what they're really asking, turning loosely defined questions into a clear analysis plan, with support from senior colleagues on trickier requests.
- Present findings clearly, with visualizations and a short narrative that explains what the data shows and why it matters.
- Help spot and investigate data quality issues, documenting what you find and flagging root causes to the right people.
- Stay up to date with developments, innovations, and trends in data, including state-of-the-art machine learning models and large language models (LLMs).
- Contributing as part of the wider team to achieve organisational objectives even if this means doing things that aren't strictly within the scope of your role.
Unsere Erwartungen an dich
Qualifikationen
- Solid SQL skills, comfortable querying and joining data across multiple sources.
- Exposure to Hospitality, Finance, Accounting, Revenue Operations, Sales, or another operational business environment is a plus.
- Comfortable turning a business question into an analysis plan, and asking clarifying questions when the ask isn't fully defined.
- Careful with data accuracy, with a good eye for spotting things that look off.
- Strong verbal and written communication skills, able to explain findings clearly to non-technical stakeholders.
- Curious, organized, and a self-starter, comfortable in a fast-paced environment.
- Familiarity with GCP, BigQuery, Dataform, GitHub, or Salesforce is a plus.
- Familiarity with Segment, Heap type of tools.
Erfahrung
- 2-3+ years of experience as a Data Analyst or in a similar analytics role.
- Experience with Python for data analysis is a plus.
- Experience building dashboards or reports using Looker or a similar BI tool.
Unser Angebot
- Genuine career opportunities in a company that's creating new jobs every day.
- Opportunity to make a difference; help merchants grow their businesses and become more successful by creating or improving products and addressing customer feedback.
- Work in a team big enough for growth but lean enough to make a real impact.
- Development of very high traffic products, used at a global scale.
- Opportunities to learn and expand your skill set.
- Become a valued part of the diverse and inclusive Lightspeed culture.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Lightspeed Commerce
Lightspeed Commerce, gegründet im Jahr 2005, ist ein führendes Unternehmen im Bereich der Point-of-Sale- und E-Commerce-Software. Es bietet integrierte Lösungen für Einzelhandel, Gastronomie und Hotellerie, die Geschäftsabläufe effizient gestalten.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Analyst, Data Operations & Analytics
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
