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# Senior Data Analyst

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/shopfully.md)ShareRemote from[Italy](https://jobicy.com/job-region/italy.md)SalaryEUR 50,716–63,500 / yrDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceSeniorPublished23 Oct 2026Apply before22 Nov 2026Listing views41Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

ShopFully is seeking a Senior Data Analyst to partner with Product, Data, and Business teams on strategic measurement and decision-making. The role centers on defining KPIs, building dashboards, conducting impact analyses and A/B tests, and turning complex data into persuasive business narratives. Candidates need strong SQL, working Python or R knowledge, BI visualization expertise, statistics, and familiarity with modern data platforms such as Databricks or Snowflake. This is a senior, cross-functional position that also includes coaching analysts and using AI tools to improve analytical workflows.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis senior role requires independently framing ambiguous business questions, applying rigorous experimentation methods, and influencing multiple stakeholders with clear recommendations. The combination of technical analytics, product measurement, and analyst coaching creates a demanding cross-functional scope.

## Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Market rate€57,108EU market range (per year)€55k–€70k0€77k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses an Italy base hiring range of €50,716–€63,500. Because no cadence is explicitly stated, the annual period is inferred from the full-time senior professional context and the magnitude of the stated base-pay range. The estimated Italian market range for a senior data analyst is €55,000–€70,000 per year; this is an AI estimate, not verified salary research.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[R](https://jobicy.com/jobs?search_keywords=R.md)[Data analysis](https://jobicy.com/jobs?search_keywords=Data%20analysis.md)[A/B testing](https://jobicy.com/jobs?search_keywords=AB%20testing.md)[Statistical analysis](https://jobicy.com/jobs?search_keywords=Statistical%20analysis.md)[KPI development](https://jobicy.com/jobs?search_keywords=KPI%20development.md)[Data visualization](https://jobicy.com/jobs?search_keywords=Data%20visualization.md)[Business intelligence](https://jobicy.com/jobs?search_keywords=Business%20intelligence.md)[Tableau](https://jobicy.com/jobs?search_keywords=Tableau.md)[Power BI](https://jobicy.com/jobs?search_keywords=Power%20BI.md)[Snowflake](https://jobicy.com/jobs?search_keywords=Snowflake.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Stakeholder management](https://jobicy.com/jobs?search_keywords=Stakeholder%20management.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)

Sample interview questionsHow would you turn a broad product question into a measurement strategy?I would first clarify the decision to be made, target users, expected behavioral change, and relevant constraints. I would define a primary success metric, supporting and guardrail metrics, establish baselines and segmentation, then document data requirements and an analysis plan before implementation.

Describe how you would evaluate the impact of a new product feature when an A/B test is feasible.

I would define the hypothesis, unit of randomization, eligibility criteria, primary metric, guardrails, sample-size requirements, and test duration. After validating experiment integrity, I would analyze the treatment effect with confidence intervals, review key segments carefully, and communicate both business impact and limitations.

What makes a dashboard effective for senior business stakeholders?

An effective dashboard starts with the decisions stakeholders need to make rather than the data available. It should foreground a small set of clearly defined KPIs, show trends and context, surface meaningful exceptions, and let users investigate drivers without overwhelming them with detail.

How would you ensure that a KPI is trusted across Product, Data, and Business teams?

I would align stakeholders on the KPI's business purpose, precise calculation, data source, owner, refresh cadence, and known limitations. I would document the definition in an accessible metric layer or glossary and validate outputs against source systems and stakeholder expectations before broad adoption.

How have you used AI tools to improve an analytics workflow while maintaining quality?

I use AI tools to accelerate tasks such as drafting SQL approaches, documenting logic, generating test cases, or outlining analysis narratives, while treating outputs as drafts. I validate queries, inspect assumptions, protect sensitive data, and retain human review for statistical interpretation and business recommendations.

Opportunity details

## About this role.

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands.

We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases.

In 2024, Shopfully joined forces with the North American company [Flipp](https://corp.flipp.com/), creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia.

Ready to spark your growth with us?

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases.

Ready to spark your growth with us? 🚀

WHO WE LOOK FOR 🦄

We’re looking for a Senior Data Analyst to join our Data Analytics team.

In this role, you’ll act as a key partner for Product, Data, and Business teams, leading measurement strategies and analytical initiatives to uncover insights that drive strategic and operational decisions.

You’ll work cross-functionally to transform complex data into clear narratives that demonstrate the value of our products and guide smarter business choices.
If you thrive on solving complex analytical problems, enjoy turning data into impactful stories, and love collaborating across teams, this role is for you!

WHAT YOU WILL DO 🏄

* Partner with internal stakeholders to identify business questions and translate them into analytical solutions.
* Translate product requirements into clear data requirements, ensuring data and analytics solutions align with business objectives and product goals.
* Develop measurement strategies, frameworks, and KPIs to evaluate product and business performance.
* Design and build dashboards and analytical tools to monitor key initiatives and enable data-driven decision-making.
* Conduct impact analyses and A/B tests to validate hypotheses and optimize outcomes.
* Deliver compelling data stories through reports, visualizations, and presentations.
* Demonstrate the value of Flipp’s products and channels through performance tracking and insight storytelling.
* Coach and support analysts, fostering best practices in analytical thinking and communication.

WHAT YOU WILL NEED 🪄

* 5+ years of experience as a Data Analyst, Business Analyst, or Analytics Lead.
* Strong analytical and problem-solving skills, with excellent attention to detail.
* Strong SQL skills and working knowledge of Python or R for data analysis.
* Advanced knowledge of data visualization and BI tools (e.g. ThoughtSpot, Looker, Power BI, or Tableau).
* Familiarity with modern data platforms (Databricks, Snowflake, or similar).
* Hands-on experience using AI tools (e.g. LLMs, prompt engineering) to automate and improve analytical workflows.
* Strong data acumen and the ability to grasp complex data concepts, enabling effective collaboration with technical teams on analytics infrastructure and data pipelines.
* Solid understanding of statistics and experimentation methodologies.
* Strong communication and presentation skills, with the ability to translate data into business narratives.
* Proven ability to collaborate cross-functionally and influence decisions through insights.
* A growth mindset and passion for continuous learning.

👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you!

LOCATION 🌐

While we have an office in Milan, you can benefit from our flexible hybrid model (full-remote available from Italy), empowering you to work where you’re most effective. Shopfully and Flipp, a leading Canadian company, are part of the same group: you’ll be hired in Europe while working directly within Flipp’s organization, in a fast-paced, innovative environment.

Since you’ll be collaborating with colleagues across different time zones, a bit of schedule flexibility will help you stay connected with our amazing teams in Canada!

If you’re excited about joining a dynamic, international team, working on cutting-edge projects and expanding your career globally, we’d love to hear from you! 💪🚀

WHAT YOU WILL FIND AT SHOPFULLY 🤗

🌎 An opportunity to thrive in a rapidly scaling multinational company

🕶️ A vibrant, informal, and inclusive work environment

🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work

📚 Access to learning opportunities and regular feedback sessions

🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups

🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks

💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are

🧰 Benefit from additional country-specific advantages based on local contracts and practices

WHO WE ARE 💜

We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.

TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯

* Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results.
* Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better.
* Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition.
* Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust.
* Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset.

If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found [here.](https://shopfully.com/applicant-and-candidate-privacy-policy/)

* Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

How We Support You

Our Total Rewards philosophy is to ensure that you are rewarded for impact, take part in accelerated career growth, thrive with highly flexible benefits, and are empowered to do your best work in a remote-first environment. In alignment with our overall Total Rewards Philosophy, we believe compensation should be fair, clear, consistent, and aligned to growth.

Italy Base Hiring Range:

€50.716—€63.500 EUR

Show more

[Apply now >](https://jobicy.com/jobs/156630-senior-data-analyst-2.md)

*

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