Job
- Level
- Senior
- Job Feld
- BI, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Rolle analysierst du Daten aus dem Gastgewerbe, erstellst wiederverwendbare Datenmodelle und Dashboards, identifizierst Optimierungspotenziale und unterstützt das Team bei datenbasierten Entscheidungen für operative Exzellenz.
Job Technologien
Deine Rolle im Team
- Develop a deep understanding of Hospitality's business processes, systems, customers, and underlying data architecture to provide meaningful analysis and support operational excellence within the Pod.
- Develop exploratory and reusable data models leveraging diverse data sources, supporting business partners with insightful datasets, reporting, dashboards, and clear analytical recommendations.
- Translate complex and sometimes ambiguous stakeholder questions into well-defined analytical requirements, approaches, and solutions that address the underlying business need.
- Be the bridge between the Data Office and the broader Hospitality organization, turning complexity into clarity and ensuring clear communication of assumptions, findings, limitations, and implications.
- Identify opportunities to improve processes, systems, and data flows, and use analysis to help Hospitality teams make more informed and effective decisions.
- Monitor and improve data quality by investigating discrepancies at the source, documenting findings, communicating impact, and driving continuous improvement across the relevant teams.
- Collaborate with the Data Office to establish analytical standards and best practices, improve documentation and definitions, and mentor junior team members.
- 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
- Excellent SQL skills, with the ability to work across complex data structures and multiple data sources; willingness to learn new tools and data systems.
- Strong business acumen and a knack for bridging the gap between technical challenges, analytical findings, and business strategy.
- Enjoy tackling complex problems through meticulous research, structured analysis, critical thinking, and creative but pragmatic solutions.
- Meticulous with data accuracy and quality, with a keen eye for spotting anomalies, investigating root causes, and understanding the impact of data issues.
- Excellent verbal and written communication skills, with the ability to articulate complex problems, analytical results, and recommendations with clarity and impact.
- A drive to deliver results, strong organizational skills, a self-starter mentality, and the ability to drive projects autonomously in a fast-paced environment.
- Familiarity with GCP, BigQuery, Dataform, Looker, GitHub, and Salesforce is a plus.
- Familiarity with Segment, Heap type of tools.
Erfahrung
- 4+ years in an analytical role, with strong experience in data operations, business intelligence, reporting, or process optimization.
- Strong experience translating business stakeholder challenges and needs into technical requirements, analytical approaches, and practical solutions.
- Experience developing data models, datasets, dashboards, and reporting that are accurate, reusable, and accessible to business partners.
- Experience in Hospitality, Finance, Accounting, Revenue Operations, Sales, or another operational business environment will give you a head start.
Unser Angebot
- Ability to do your job in a truly flexible environment.
- Genuine career opportunities in a company that's creating new jobs every day.
- Work in a team big enough for growth but lean enough to make a real impact.
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
Senior Analyst, Data Operations & Analytics
- Ort
- Berlin
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
