Built by the founders of the world's first virtual kitchen company Honest Food.
Slyce is enabling restaurants to take their food delivery operations to the next level.
Become part of the team and…
Built by the founders of the world's first virtual kitchen company Honest Food.
Slyce is enabling restaurants to take their food delivery operations to the next level.
Become part of the team and…
Mission / Product: AI-powered marketing, operations and analytics platform for restaurants and delivery apps
Founded by: Robin Steps; Janosch Sander
Employee count (reported): 20
Notable funding: $10.75M round announced March 2014
Company Overview
Problem Domain
Restaurant marketing and operations on third-party delivery platforms
Industry
Food-tech / Restaurant SaaS
Funding Track Record
- 2014-03-04
$10.75M
Reported funding round for image-recognition business
Post-IPO Equity- 2015-05-14
Post-IPO Equity round recorded on company profile
Investor Signal
“Investors reported include Beacon Securities, Ventum Financial and Salman Partners”
Founders
What we do
Join the Team
Senior Data Analyst
On-SiteBerlin, DE
On-Site • Berlin, DE
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Company Description
Slyce is enabling restaurants to take their food delivery operations to the next level. Built by the founders of Honest Food, the world's first virtual kitchen company, Slyce offers innovative solutions for the restaurant industry. We collect and harmonize billions of data points from major delivery platforms (Lieferando, Uber Eats, Wolt) and feed them into our ML algorithms to power an AI co‑pilot that helps restaurants build and execute marketing strategies in real time.
This is a rare opportunity to join a startup with proven founders, real traction (3,500+ restaurants), and a clear value proposition. As one of our early data hires, you’ll own core analytical topics, shape our data culture, and tackle interesting challenges at the intersection of data, ML, and real-time operations.
Role Description
We’re looking for a Senior Data Analyst who empowers our C‑level to make data-driven decisions every day. You will report to the Chief Data Officer and will be part of the data team. In your day-to-day work, you will work closely with the CEO and COO and dive deep into the performance of our algorithms for our clients. You will help the business prepare case studies to win trials and help us understand what works and what does not. You will work closely with Data Engineering and Data Science to improve the performance of our decision-making.
This is a great opportunity to work closely with the founding team in a fast-growing startup.
What you'll do
Own performance analytics
Analyze how our algorithms impact restaurant performance (orders, revenue, margin, marketing spend) and define the KPIs that matter.
Skills we are looking for
Nice to have Skills
Domain knowledge: Experience with marketplaces, food delivery, or digital marketing/advertising.
ML product analytics: Familiarity with evaluating and monitoring ML-driven products (recommendation, bidding, optimization).
GCP experience: Previous experience with GCP (BigQuery, Cloud Composer, Pub/Sub, Vertex AI) or GCP Professional Data Engineer certification.
Data quality: Understanding of data quality frameworks (e.g. Great Expectations, Soda) and how to implement basic checks.
Streaming & real-time: Experience with streaming or event-based data (Pub/Sub, Kafka, Dataflow, or similar).
APIs & integrations: Experience working with RESTful APIs and third-party platform integrations.
Infrastructure as Code: Knowledge of tools like Terraform or Pulumi is a plus, especially if you’ve worked closely with data infrastructure.
Our Tech Stack
Data & ML: Cloud Composer (Airflow), dbt, Python, BigQuery, Cloud Storage, Pub/Sub, Vertex AI
Impact: Join early and shape a platform used by thousands of restaurants across Europe.
Technology: Build scalable, ML-powered infrastructure using modern data tools on GCP.
Hybrid work: Flexible balance between our Berlin office and home office.
Leadership access: Work directly with our founders and senior engineering team.
Time off: 27 days vacation plus German public holidays.
Please Apply via LinkedIn.
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Partner with C‑level
Work directly with the CEO, COO, and CDO to answer strategic questions, prioritize opportunities, and support key decisions with data.
Build case studies & narratives
Create clear, compelling case studies and ROI analyses to support sales, customer success, and marketing.
Design metrics & dashboards
Define core metrics and build dashboards that give the business a real-time view of performance across markets, products, and cohorts.
Collaborate with Data Science & Engineering
Work with DS/DE to evaluate model performance, define experiments, and translate business needs into data and modeling requirements.
Champion data quality & self‑service
Help improve our data models, documentation, and tooling so that stakeholders can reliably self‑serve for routine questions
Experience: 3–6 years of experience in data analytics, product analytics, or analytics engineering.
SQL & warehousing: Strong proficiency in SQL and experience working with large datasets in a cloud data warehouse (BigQuery or similar).
Analytics & statistics: Solid understanding of analytic methods and experimentation (A/B testing, cohort analysis, basic statistical inference).
Python for analysis: Strong proficiency in Python for data processing and automation (e.g. pandas, Jupyter/Colab, simple scripts).
Data modeling & transformations: Experience working with well-structured data models; comfortable reading and contributing to dbt-based transformations.
Workflow literacy: Hands-on experience with modern data workflows and orchestration (e.g. Airflow or Cloud Composer), at least as a power user.
BI & visualization: Experience building reports and dashboards in a BI tool (e.g. Looker, Tableau, Metabase, Mode, Power BI).
Stakeholder communication: Strong communication skills, especially in explaining complex analyses to non-technical stakeholders and C‑level.
Solution-oriented Mindset: You know how to prioritize and find solutions that are appropriate for the available time.
Collaboration: Ability to work both independently and in cross-functional teams, proactively driving topics to completion.
Work authorization: EU work authorization required (we do not sponsor visas at this time).
