Senior Data Operations & Analytics Specialist

Lightspeed; Nanterre; Sur place; EUR 70 000 - 96 000; Plein temps

Avantages offerts par ce poste

Lightspeed share scheme

Mental health platform

Health and wellness benefit

Volunteer day

Résumé du poste

Lightspeed is seeking a Senior Analyst, Data Operations & Analytics to join our Data Office in Paris. You’ll bridge data, product and business teams to turn complex questions into clear insights, reusable data models and reporting that improve decisions and operational performance.

You’ll develop exploratory data models, dashboards and datasets, translate stakeholder needs into defined analytical requirements, ensure data quality, and mentor junior colleagues in a fast-paced environment.

Qualifications

• 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.
• Excellent SQL skills, with the ability to work across complex data structures and multiple data sources; willingness to learn new tools and data systems.
• 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.
• 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

Responsabilités

• Develop a deep understanding of Hospitality’s business processes, systems, customers, and underlying data architecture to provide meaningful analysis and support operational excellence.
• 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.

Connaissances

SQL

Data modeling

Dashboards

Communication

Outils

BigQuery

Dataform

Looker

GitHub

Salesforce

GCP

Segment

Heap

Description du poste

Lightspeed is seeking a Senior Analyst, Data Operations & Analytics to join our Data Office in Paris. You’ll bridge data, product and business teams to turn complex questions into clear insights, reusable data models and reporting that improve decisions and operational performance.

You’ll develop exploratory data models, dashboards and datasets, translate stakeholder needs into defined analytical requirements, ensure data quality, and mentor junior colleagues in a fast-paced environment.