Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data-driven analyses to support business processes by writing SQL queries, creating dashboards, and carefully investigating data quality issues.
Job Technologies
Your role in the 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.
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Our expectations of you
Qualifications
- 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.
- Vorsicht bei der Datenqualität, mit einem guten Blick für Dinge, die merkwürdig erscheinen.
- Strong verbal and written communication skills, able to explain findings clearly to non-technical stakeholders.
- Neugierig, organisiert und eine selbstständige Persönlichkeit, die sich in einem schnelllebigen Umfeld wohl fühlt.
- Familiarity with GCP, BigQuery, Dataform, GitHub, or Salesforce is a plus.
- Vertrautheit mit Segment, Heap-Tools.
Experience
- 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.
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What we offer
- 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.
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Topics You Will Work On
Job Locations
About Your Employer
Lightspeed Commerce
Founded in 2005, Lightspeed Commerce is a leading company in the field of point-of-sale and e-commerce software. It provides integrated solutions for retail, hospitality, and restaurant sectors that streamline business operations.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Analyst, Data Operations & Analytics
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
