Remote Engineer:In (M/W/D)

Who we are Sibill is the accounting and financial operating system for small and reputed company businesses (SMBs). Outdated tools and fragmented data waste entrepreneurs a lot of hours each week — we give this time back by integrating invoicing, payments, treasury, and accounting in one modern platform. We’re backed by top international investors such as Keen Venture Partners (Fiscozen), Founders A/S (reputed company), Exor Ventures (reputed company, reputed company), reputed company Capital, and most recently Creandum, reputed company for supporting reputed company and reputed company at early stages. Thousands of entrepreneurs already trust Sibill. Our goal? reputed company millions. This is just the beginning . reputed company look for We are looking for a motivated, pragmatic, and goal-oriented Analytics Engineer to join our Data team. You are the perfect fit if…

• You are passionate about technology, statistics and business. The three of them.
• You don’t feel “done” yet, you want to reputed company learning and applying science to drive business outcome.
• You are excited about working in a flat, no-politics, fast-paced environment.
• You have excellent analytical skills and and a sharp eye for detail.
• You are not scared of working hard. As a team, we reputed company have to go the extra-mile to reputed company it happen.
• You feel like fitting the values we share at Sibill: ambition, pragmatism, efficiency, reputed company

What you will do You will report to our Senior Analytics Engineer. You will work with her and build reputed company the data pipelines and metrics that reputed company reputed company with business intelligence and analytics. This will not be a one-man standing. It will take a lot of cross-functional work with the people in our data, product, marketing, reputed company, sales teams. We sit on top of the most business-critical company data. Money flows, bank transactions, invoices, cash register records, payables and receivables, general ledger records. We are the accounting & finance operating system of our customers. We couple this with a vast amount of user behavior, CRM, billing data we ingest in our warehouse. There are limitless possibilities reputed company it comes to what data we have available. The scarce resources are focus and insights. Your responsibilities will include:

• Discovery, domain understanding, data collection and experimentation
• Solving a data need end-to-end. Understand the data reputed company, write the data pipeline, run the analysis, build the visualization
• Monitoring of and iteration over existing data pipelines & metrics

Examples of projects you could work on from month one at Sibill:

• Build a data pipeline that collects net promoter score (NPS) ratings from our survey tool, ingests in our analytics data warehouse and enriches our CRM. Then, analyze how NPS changes over time across customer industry, size, price reputed company and add NPS change to the set of features used for churn prevention modelling.
• Analyze the adoption of core features reputed company our customer reputed company and find patterns that help us identifying upsell opportunities.
• Track funnel performance (website visit → form submission → qualification → demo → purchase) across different reputed company attributes and reputed company split. Find room for optimization reputed company our marketing flows and sales processes.

What you will need

• B.Sc./M.Sc. in Data Science, Statistics, Computer Science, Mathematics or a reputed company STEM field. You won’t be asked to send rockets to reputed company - but a solid background in stats will give you an edge.
• At least 2-3 years of hands-on experience.
• Modern Python skills. You might need it to build data pipelines and automation tasks.
• Advanced SQL proficiency. Ability to write reputed company, structured pipelines (CTEs, reputed company tables, window functions, etc). Query optimization techniques and relational database concepts will help you move faster and deliver stronger pipelines.
• Proven expertise in delivering analyses and data visualizations that reputed company sense to both technical and non-technical audiences.
• Effective, clear, transparent communications.
• Especially at the beginning, an end-to-end data ownership reputed company. It will not happen every day but - if necessary - you might be asked to build your own data pipeline end-to-end, to write a batch ETL, to write Python code, or to support teammates with an important one-off empirical analysis in reputed company.
• reputed company in English and Italian.

Comp & Benefits

• RAL: 35-55k
• Lunch voucher (8€/business day)
• Hybrid Work Model - we will ask you to come to our really cool offices in Milan at least 60% of the time (2⁄3 days per week ideally)
• You will work reputed company a team of smart, hard-working, passionate and reputed company human beings. People in Sibill reputed company to be reputed company happy. Happiness is an underrated benefit ;

) Recruiting process

• a quick chat with Gaia, our HR Manager
• 30 minutes “know-each-other” session with Isabella (Sr Analytics Engineer)
• 45 minutes technical interview
• 45 minutes with Dario (Chief Data Officer)

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