Product Data Analyst

Salsify

Portugal

Presencial

EUR 37 000 - 43 000

Tempo integral

há 16 horas
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Resumo da oferta

Salsify is hiring a Product Data Analyst to drive data-driven decisions across R&D and business teams. You will sit with stakeholders, shape datasets, and deliver metrics and reporting that guide actions. A strong data-product mindset and pragmatism are essential to translate requirements into scalable data solutions.

You will partner with Data Platform, own KPI definitions, and ensure a trusted, actionable data backbone that scales across the organization.

Qualificações

  • 3+ years in an analyst or data role.
  • Strong SQL and ability to handle large, messy datasets.
  • Systems thinking: trace a metric from source to report.
  • Stakeholder management and clear problem statements.

Responsabilidades

  • Measure the health of R&D and define KPIs and reporting.
  • Build data products: write SQL, model datasets, and stand up reporting.
  • Drive impact by finding opportunities where data can improve outcomes.
  • Own metric definitions and ensure consistency across the company.

Conhecimentos

Strong SQL
Large datasets
Stakeholder management
Data as a product
Product sense about data
Clear communication

Ferramentas

Snowflake
dbt

Descrição da oferta de emprego

Come join a company who is a key leader in the industry scaling the next core commerce infrastructure and on the path from $100M to $500M! Founded in 2012, Salsify helps brand manufacturers, distributors, and retailers in over 80 countries collaborate to win on the digital shelf. As the market leader globally, 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.

Learn how the world’s largest brands, including Mars, L'Oreal, Coca-Cola, Bosch, and GSK, as well as retailers and distributors such as E.Leclerc, Carrefour, Metro, and Intermarché use Salsify everyday to stand out on the digital shelf.

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
Compensation Philosophy
  • We pay market rates, which are competitive and equitable
  • We pay based on performance and proficiency, not tenure
  • We adjust proactively; when the market moves, we do too

The posted compensation range reflects the base salary for this position. In addition to base salary, some eligible roles may also have a commission plan or a bonus incentive. All Salsify employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, PTO, and more. Offers to join Salsify are based on a few criteria, including the scope of the role, the candidate’s work experience, targeted skills, internal equity of the team, and external market data.

National Pay Range

€36.550 - €43.000 EUR

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).

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.

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.

As part of the hiring process, we may be conducting reference checks with your provided contacts.

Please see our Candidate Privacy Statement for information on the personal data we process in connection with your application.

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