Product Data Analyst

Product Data Analyst

Portugal

Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. Our products are shopper-centric, frictionless, and create memorable commerce experiences. Our products provide a competitive edge through experiences that improve brand trust, amplify product differentiation and assortments, increase conversion rate, improve profit margins, and speed time to market.

At Salsify, we strive to embody an equitable, diverse, and inclusive company culture. We are united across countries, levels, tenures, and a host of other dimensions of diversity. We understand that while work is just one aspect of who we are, a truly inclusive culture accounts for the full authenticity of every single human being that works here.

About the Opportunity

Salsify's Product Data team exists to make R&D measurably better and to get the most value out of the data R&D produces. That splits into two jobs: showing whether our R&D teams and initiatives are succeeding, and turning R&D's data into decisions and outcomes across the business. We are hiring a Product Data Analyst to do both.

The work runs from discovery through delivery. You will sit with stakeholders in R&D and across the business to understand how data can support the outcomes they are after, work with Data Platform and data owners to get the right data in place, and then build the datasets, metrics, and reporting that drive action. You will shape the projects you work on: what the metric should be, how the dataset should be modeled, who acts on it, and what changes as a result.

We are looking for someone who treats data as a product and who can pragmatically match the solution to the value at stake, whether that is a fast answer to a question someone needs today or a dataset the company will depend on for years.

Responsibilities

• Measure the health of R&D. Define and maintain the KPIs and reporting that describe the health of the R&D function and whether its teams and initiatives are delivering. Work with PMs, engineering leaders, and UX to turn an initiative's stated goal into something that can actually be measured.
• Build the data products. Write the SQL, model the datasets, and stand up the reporting people act on. Decide which recurring requests point at something worth building once and maintaining. Partner with Data Platform when the source data does not exist yet or a pipeline needs to change.
• Drive impact with R&D's data across the business. Find where teams in Customer Success, Sales, Support, and Finance could drive better outcomes using R&D's data, then solution the data products and reporting that let us execute against those opportunities. Bring a recommendation rather than a menu of options.
• Own definitions and data quality. Make sure a metric means one thing across the company, is documented, and holds up when someone challenges the number.

What Success Looks Like

Ultimately: R&D and business leaders make decisions from data you built, without asking you to re-explain it or re-verify the number.

Along the way, you will know it is working when:

• Every significant R&D initiative has KPIs that leaders trust, and we can say whether the initiative worked
• Cross-functional partners are making decisions on data you delivered, and can point to what it changed
• Metric definitions are documented and stable, and disagreements about numbers are rare and quick to resolve
• The business has clear, concrete examples of value it drove with R&D's data

Qualifications

• 3+ years in an analyst or data role. Strong SQL. Comfortable with large, messy datasets and turning them into something reusable.
• Systems thinking. You can trace a metric from source system through transformation to the report, and you know what breaks downstream when a definition changes upstream.
• Stakeholder management. You can run a conversation with a PM, an engineer, or an executive and come out of it with a clear problem statement and agreement on what happens next.
• Product sense about data. You treat datasets and reporting as products with users, and you think about maintenance and adoption before you build.
• Pragmatism. You pick the option that gets the outcome, and you are direct about the tradeoff you made.
• Clear communication. You can explain what a number means, what it does not mean, and what someone should do about it.

Preferred Qualifications

• Snowflake and dbt
• Experience using AI to do data work: writing and debugging queries, exploring unfamiliar datasets, building transformations, drafting analysis
• Experience measuring the performance of a product or engineering organization
• Experience building data products used by people outside your own team, internally or customer-facing
• SaaS or B2B software background

Salsify's mission is to empower brand manufacturers to win on the digital shelf.

Helping brand manufacturers to win online is what we do. Our culture is who we are. We are empowered. We are positive thinkers. We take action. We care deeply. These values have driven Salsify's growth and earned the company numerous top workplace awards.

We are headquartered in Boston, Massachusetts and have hubs in Lisbon (Portugal) and Sydney (Australia). If you are excited to work in a fast-paced environment with a team that values agility, curiosity and passion, we want to hear from you!

An Inclusive Place To Work

Salsify does not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Studies have found that people of color and women do not apply to jobs if they do not meet all the requirements. At Salsify we are committed to empowering a diverse workforce. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Accommodations

Salsify is committed to an inclusive hiring process, and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact View email address on click.appcast.io.

We take your security seriously. When applying for a position with us, please be aware of the following:

Official Communication Channels All legitimate communications from our team, including interview requests and job offers, will only come from an email address ending in @salsify.com. We will never use generic email addresses (like Gmail or Yahoo) or ask you to communicate through unofficial channels. Verify Job Postings Always verify the legitimacy of any Salsify job posting by checking our official website's careers page. If a position is not listed there, it is not a genuine Salsify opening. Secure Application Process We use secure applicant tracking systems and encrypted communication channels to protect your sensitive information and documents throughout the application process. No Payments Ever Required Legitimate employers, including Salsify, will never ask for upfront payments for applications, training, or equipment. Any request for payment is a clear sign of a scam. Personal Information Requests Sensitive personal information, such as bank details or social security numbers, will only be requested after a formal job offer has been made and exclusively through secure, verified channels. By being aware of these protocols, you can help us ensure a safe and secure application experience.