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Senior Product Analyst

We're looking for a Senior Data Analyst to join the Data Science and Analytics team, reporting to Louis, Senior Analytics Manager. As a Senior Data Analyst, you will translate data into insights and drive improvements to our product, operations, and strategy. You will be the expert on learning from evidence, assessing impact of opportunities, and developing models on our product, users, and business.

You will join a cross-functional product team focused on the consumer side of our marketplace. This team focuses on connecting buyers and sellers so that any available artwork on Artsy can find its perfect home. You will collaborate closely with a Product Manager, a Product Designer and a Technical Lead to drive the development of impactful products delighting Artsy users.

You’ll also be part of our Data Science and Analytics team – providing support across all of our products and operations by developing insights and enabling analytical and automated decision making. We build strong partnerships with key stakeholders and foster a data-driven culture in which analytical insights guide continuous improvements across the organization. We’re a collaborative and agile team with ample opportunities for ownership and growth.

This is a full time hybrid role, with in office attendance required 3 days a week. This role is based in our Berlin office.

What You’ll Do at Artsy:

  • Be a strategic partner to product and business leaders and develop opinionated data models on our users and business to help drive the right decisions

  • Identify, implement, monitor, and report on team-wide Key Performance Indicators (KPIs) and Objective and Key Results (OKRs)

  • Ship data products that improve our understanding of the art market, Artsy’s marketplace, and how to best serve our collectors and partners

  • Work with stakeholders to instrument proper tracking and define new data models, design and implement data pipelines

  • Ensure your product team is rooted in evidence-based decision making: design and report on A/B tests using rigorous hypothesis testing methods, advance our experimentation framework

  • Apply statistical and machine learning models (i.e. Regressions, Clustering, Random Forest, Natural Language Processing,  etc.) to inform improvements to our business and product such as user segmentation and recommendations

  • Build data expertise, best practices and own data quality for all analytical data needs

This role is a fit for you if:

  • You are currently authorized to live and work in Germany. This role is based in Berlin. 

  • You have previous experience spanning product analytics, data analytics and data science, and are proficient in SQL and statistical programming in Python

  • You have a demonstrated ability to translate analytical insights into clear recommendations and to communicate them to technical and non-technical colleagues

  • You have experience leading cross-functional projects end-to-end successfully and in a timely manner

  • You understand what an 80/20 solution is and have experience working quickly, iteratively, and know how to prioritize for impact

  • You have experience with applied statistics and a breadth of modeling techniques (ex. regressions, clustering, random forests, causal inference) to solve business and product problems

  • You have experience in designing, validating, and deploying data models to production that address user needs

  • You’re energetic, curious, thoughtful and passionate about defining problems and reaching conclusions

  • You know that data doesn’t fall from the sky in .csv form. You know that there’s a backstory to any data point, so you’re not afraid to dig deep to understand your raw material

  • You are a team player. You understand that being a good teammate requires a combination of soft skills & feedback, and is the key to being successful in a matrix organization

  • You care deeply about giving and receiving feedback. (An open feedback culture at Artsy is central to how we work!)

  • You’ve demonstrated  rapid product development in consumer tech and bring domain experience in recommender systems and experimentation

We know no one is a perfect match on paper, so if you’re passionate about this role, please apply! We’re excited to learn how your skills, experiences, and insights could make a difference.

Please Note: We can only accept applications from those eligible to live and work in Germany. This is a hybrid role with office attendance required 3 days/week.

What We Offer:

  • Opportunity to reimagine the art industry while working with a talented, diverse, international team. 

  • Competitive salary and equity

  • Flexible time off: our culture of trust and empowerment allows employees to take the time they need away from work while still excelling in their roles

  • We are a global hybrid team: most employees work from our NYC, London, or Berlin offices 2-3 days per week

  • Benefit options, including: German language subscription, global travel insurance, mental health resources, Urban Sports Club, standard pension & healthcare enrollment, parental and medical paid leave, and more

  • Professional development, including: mentoring, lunch & learns, regular training, 1:1 management, and an open feedback culture

  • Engaging opportunities and internal programming globally, to foster new relationships and build upon our collaborative community. Including: happy hours, holiday parties, global "All Hands" meetings, "Artsy Salon" (a yearly exhibition of our team's creativity), attendance to art world events, and more

Please note that we do not accept applications sent by email. You should submit your application directly through our careers website!

Artsy Values

Artsy has five core values that will inform your experience at Artsy.

For the Love of Art: We have relentless curiosity, empathy, and passion for collectors, artists, and the art market. We are here to make the art world more fair and welcoming.

Own Our Outcomes: We are all individual owners of Artsy’s shared success. We are resourceful and resilient, and to get the job done, we each take responsibility for our outcomes.

Lead with Openness: We trust in our teammates. We seek diverse perspectives, communicate authentically, and act with integrity. A more open art world starts with us. 

Transform Together: Our mission asks us to challenge the status quo. We embrace feedback, learning, and change so that we can transform our industry, our company, and ourselves.

Impact Over Perfection: Using both art and science, we debate and decide swiftly and iterate on our plans as we learn. To make the biggest impact, we prioritize speed and clarity of action over perfection.

Artsy is an equal opportunity employer. We value a diverse workforce and an inclusive culture. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status.

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What You Should Know About Senior Product Analyst, Artsy

Artsy is on the lookout for a Senior Product Analyst to join our dynamic Data Science and Analytics team in Berlin, reporting directly to our Senior Analytics Manager, Louis. If you're passionate about turning data into actionable insights and want to make a tangible impact on our marketplace, this could be the perfect opportunity for you! In this role, you’ll collaborate with a Product Manager, Product Designer, and Technical Lead to enhance the platforms that connect buyers and sellers in the art world. Your skills in SQL and Python will shine as you develop models and implement data-driven strategies that improve user experience. You will also play a key role in advancing our experimentation framework through rigorous A/B testing and statistical analyses. Imagine being the heartbeat of a product team that drives Artsy’s mission by building partnerships across departments and fostering a data-driven culture—sounds exciting, right? If you're currently eligible to work in Germany and have a knack for translating complex data into clear business recommendations, your fresh perspective could be just what we need. We value collaboration, agility, and the spirit of ownership. So if you're ready for a role that balances responsibility with personal growth and creativity, come join us in Berlin and help us redefine the art marketplace one insight at a time!

Frequently Asked Questions (FAQs) for Senior Product Analyst Role at Artsy
What are the key responsibilities of a Senior Product Analyst at Artsy?

As a Senior Product Analyst at Artsy, you will take the lead in translating complex datasets into actionable insights, elevating both our product and operations. Your responsibilities will also include identifying key performance indicators, implementing tracking mechanisms, and conducting A/B tests to drive evidence-based decision-making. Collaborating closely with cross-functional teams, you’ll utilize data to inform product improvement strategies and enhance user experiences in our marketplace.

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What qualifications do I need to be a Senior Product Analyst at Artsy?

To thrive as a Senior Product Analyst at Artsy, you should possess solid experience in product analytics and data science, particularly with SQL and Python. A strong background in statistical modeling and a proven record of translating insights into recommendations for both technical and non-technical audiences are essential. Additionally, you should have experience in managing cross-functional projects, ensuring you can effectively communicate and collaborate with diverse teams.

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How does a Senior Product Analyst contribute to Artsy's mission?

In the role of Senior Product Analyst, you are pivotal in driving Artsy's mission to make the art market more accessible and welcoming. By leveraging data to inform product strategies, you help bridge the gap between buyers and sellers, ensuring that our platform serves the needs of both collectors and partners. Your insights will not only improve our service offerings but also contribute to creating a more vibrant art marketplace.

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What kind of projects can a Senior Product Analyst expect to lead at Artsy?

As a Senior Product Analyst at Artsy, you can expect to lead projects focused on enhancing user segmentation, recommendation systems, and experimentation frameworks. You'll be tasked with designing and deploying data models that address real user needs, all while collaborating with product and business leaders to create data-driven solutions that resonate with our marketplace's dynamics.

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What does the team culture look like for a Senior Product Analyst at Artsy?

At Artsy, the team culture is highly collaborative and iterative, creating an environment that values feedback and continuous improvement. As a Senior Product Analyst, you'll work in an agile setting where open communication and diverse perspectives are essential. We believe in fostering a community that is not just data-driven but also rich in creative ideas, empowering you to take ownership and impact the art industry positively.

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Common Interview Questions for Senior Product Analyst
Can you describe a time when you used data to drive a significant product decision?

When answering this question, share a specific example where your data analysis led to a tangible outcome for the product. Discuss the methods you used to gather and analyze the data, the insights you derived, and how those insights shaped the final decision. Emphasize the collaboration with team members and the impacts of your decision on the user experience.

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How do you prioritize data projects when faced with multiple stakeholders?

To effectively prioritize, ensure you outline your process by discussing your criteria for evaluating project significance and stakeholder impact. Highlight how you gather input from stakeholders, evaluate the potential ROI of each project, and communicate your findings to help align everyone’s expectations while managing timelines efficiently.

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What modeling techniques have you found most effective in your previous roles?

When addressing this question, elaborate on specific statistical models or machine learning techniques you've employed, such as regressions, clustering, or random forests. Explain why you chose these methods for particular projects, their relevance to the business problem at hand, and the outcomes they helped achieve.

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Explain how you approach A/B testing in product development.

In your response, describe your process for designing A/B tests—from formulating a hypothesis to setting up experiments, analyzing results, and interpreting data. Highlight the importance of statistical significance and how you communicate results to stakeholders to inform product decisions.

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What steps do you take to ensure data quality in your analyses?

Convey the importance of data quality by discussing your routine checks for data accuracy, completeness, and consistency. Provide examples of techniques you implement when cleaning data and the regular audits you conduct to maintain data integrity across your analyses.

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Can you share your experience with cross-functional collaboration?

In answering this question, highlight your experience working with various departments such as product management, engineering, and design. Discuss an example where your role as a Senior Product Analyst helped bridge gaps in understanding and facilitated a successful project outcome through effective communication and teamwork.

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How do you stay updated with the latest trends in data analytics?

Share the resources you follow, such as industry blogs, online courses, or professional groups. Discuss how you apply new trends in your work, fostering a data-driven culture through knowledge-sharing within your team and organization.

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Describe a challenging analytical problem you faced and how you resolved it.

When discussing a challenging problem, detail the specific analytical hurdles you encountered and the innovative solutions you devised. Emphasize your critical thinking abilities and how you leveraged teamwork or external resources to achieve a solution.

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How do you ensure that your insights are actionable?

Explain your process for translating complex data into clear, actionable recommendations. Discuss your methods for effectively communicating these insights to both technical and non-technical stakeholders, ensuring that your recommendations lead to meaningful actions.

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What role does feedback play in your work as a Senior Product Analyst?

Highlight the significance of cultivating a culture of feedback, both receiving and providing it. Discuss how you actively seek out feedback on your analyses and insights, using it as a growth opportunity to refine your work and foster open communication within your teams.

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Artsy’s mission is to expand the art market to support more artists and art in the world

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Full-time, hybrid
DATE POSTED
January 9, 2025

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