Business & Data Analyst
SylloTips
IT, Data Science
EUR 28k-40k / year + Equity
Posted on Nov 7, 2025
🔌
Business & Data Analyst - SaaS B2B / AI
Team
Analytics
Function
Cross-Function
Level
Mid
Status
Live
Priority
P1
Location
Remote
Hiring Manager
Leonardo Martini
Recruiter
Leonardo Martini
2 more properties
About SylloTips [Syllotips Homepage]
Imagine AI agents that continuously learn from a company’s top employees. At SylloTips, we transform undocumented expertise into dynamic, ever-adapting AI, bridging the gap between human know-how and enterprise systems.
Founded in Rome in 2023 and run by AI PhDs and veterans from Amazon, Google, The Fork, and Translated, we’ve been accelerated by Techstars and are now part of the Harvard Innovation Labs (finalists in the President’s Innovation Challenge).
Thanks to our unique “human-in-the-loop” approach, SylloTips is already trusted by leading telecom, insurance, and finance companies to supercharge customer support and sales.
Founding Team
Giorgio Barnabò (CEO/CSO): Ph.D. in AI, strong academic background in Statistics and Finance, former research scientist at Amazon Alexa. www.linkedin.com
Leonardo Martini (COO): Ph.D. in Data Science, solid academic background in Maths and Computer Science, former researcher at Harvard. www.linkedin.com
Simone Silvestri (CTO): Full Stack Engineer with 5+ years of experience in microservices architecture development. www.linkedin.com
Andrea Rossi (AI Applied Scientist): Ph.D in AI with 5+ years of working experience, including Google and Translated. www.linkedin.com
Giorgio Pagliaro (Tech Lead): M.Sc. in Computer Engineering with 12+ years of experience as a Full Stack Software Engineer. Expertise in leading development teams, working in startup environments and architecting and developing robust software solutions. www.linkedin.com
Songle Jin (Founding Engineer): M.Sc. in Computer Science & Engineering with 5+ years of working experience, including The Fork. www.linkedin.com
Qianfei Gu (Senior Product Designer): Product designer with 5+ years experience in B2B companies from startups to enterprises. www.linkedin.com
Leo Arcasenza (Customer Support): Background in sales and digital marketing with 3+ years of working experience in startups across France and Italy. www.linkedin.com
Role Overview
We’re hiring a Business & Data Analyst to turn raw data into clear, actionable insights for every team—sales, product, customer success, and leadership. You’ll build the data foundations (collection, warehousing, modelling), create dashboards that the business can trust, and proactively surface opportunities to grow revenue and improve efficiency. Part of your work will also involve natural‑language‑processing (NLP) projects such as intent clustering and text‑classification pipelines.
You must be comfortable writing production‑quality Python one minute and presenting findings to C‑level executives the next.
Key Responsabilities
Data Collection & Management
Design and maintain pipelines that consolidate data from product, CRM, marketing, and finance systems.
Ensure data quality, governance, and compliance with GDPR and security best practices.
Reporting & Dashboards
Own our Looker/Power BI/Metabase environment, building intuitive dashboards for executives and individual contributors.
Automate recurring reports and keep definitions consistent across the company.
Customer, Product & NLP Insights
Analyse product usage to discover adoption patterns, churn risk, and expansion signals.
Build NLP models (e.g., intent clustering, text classification) to extract insight from unstructured conversations.
Present data‑driven recommendations to Product and Customer Success to drive retention and upsell.
Revenue & Sales Analytics
Partner with Sales to monitor funnel metrics (SQL → Closed‑Won), forecast revenue, and identify conversion bottlenecks.
Develop commission‑tracking models that tie back to financial reporting.
Process & Workflow Improvement
Map cross‑functional processes, highlight inefficiencies, and quantify ROI of proposed changes.
Track OKRs and key business KPIs, alerting stakeholders when targets drift.
Ad‑hoc Analysis & Experimentation
Support leadership with deep‑dive analyses (pricing tests, cohort studies, market sizing) to guide strategic decisions.
Required Experience and Skills
Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Physics, Engineering, …).
3+ years in a data/business analytics role, preferably in B2B SaaS or tech‑enabled services.
Strong Python skills are mandatory (additional languages welcome) plus advanced SQL.
Experience with at least one BI/visualisation tool (Looker, Power BI, Tableau, Metabase, …).
Solid grasp of statistics and A/B testing; comfortable explaining confidence intervals to non‑experts.
Ability to translate complex data findings into crisp narratives for C‑level audiences.
Working knowledge of CRM and marketing data (HubSpot, Salesforce, Marketo, Google Analytics).
Familiarity with NLP concepts or hands‑on projects is highly valued.
Plus
Experience in early‑stage startups where you built analytics from scratch.
Exposure to financial modelling or SaaS metrics (ARR, NRR, CAC, LTV).
Background in data engineering (dbt, Airflow, Snowflake, BigQuery).
Interview Process
Phone Screening (15 min) – Quick mutual‑fit check and role overview.
Follow-up Interview (45 min): Deeper conversation about your background and past experiences.
Technical Challenge: Hands‑On Python Analysis (45 min) – Live data exercise: explore a dataset, write code, and discuss approach.
Technical Deep Dive (45 min) – Theoretical questions on statistics, data‑science fundamentals, SQL, and design trade‑offs.
Behavioral Interview (45 min): Based on SylloTips’ core tenets, following a STAR model.
What We Offer
Employment type: full‑time, permanent
Compensation package:
Base annual gross salary: €28k – €40k
Performance bonus linked to company revenue growth and data‑driven KPIs
SylloTips Stock Option Plan
85% Remote Work (from the EU): Expect around ten three‑day in‑person sessions per year at our Rome offices.
High Impact: You will lay the data foundations of a venture‑backed AI startup and see your insights shape product, sales, and strategy.
Learning & Growth: Work side‑by‑side with AI researchers, seasoned engineers, and commercially minded founders.
If interested, send your application to: hiring@syllotips.com
Ps. Feel free to apply even if your rates are higher than that!
