Product Analyst

TripleTen; Lisboa; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

An innovative EdTech company based in Lisbon is seeking an experienced Data/Product Analyst to conduct product analyses and drive data-informed decision-making. The role offers fully remote work, a dynamic team environment, and the opportunity to significantly influence students' job readiness post-graduation. The ideal candidate should have over 3 years of relevant experience, strong analytical skills in SQL and Python, and proficiency in designing dashboards with tools like Tableau.

Serviços

Fully remote collaboration

Dynamic team environment

Professional freedom

Qualificações

• 3+ years experience in the role of data/product analyst.
• Ability to choose an appropriate statistical test and conduct statistical research.
• Experience analyzing data and generating insights using analytics tools.

Responsabilidades

• Conduct exploratory analyses to uncover actionable product insights.
• Lead full-cycle analytical projects from start to finish.
• Train product teams on data-informed decisions.

Conhecimentos

Data communication skills

Statistical analysis

SQL

Python

Dashboard design

Ferramentas

Tableau

PySpark

Descrição da oferta de emprego

TripleTen is a service that empowers individuals, regardless of their prior experience, to embark on the exciting and challenging journey of mastering tech professions such as software engineering, data science, business intelligence analytics, and QA in a feasible and accessible way, ultimately leading to employment opportunities.*

Our mission is to ensure that every student has the opportunity to successfully master a new profession and become a valuable member of the tech industry. We are successfully producing highly desirable tech professionals in the most competitive EdTech market in the world - the US market.

What you will do:

• Conduct exploratory analyses to uncover actionable product insights and opportunities from our existing data
• Independently lead full-cycle analytical projects — from scoping problems from stakeholders requirements to initiating data collection (if needed) with data engineers and developers, and delivering actionable outcomes:
• Tableau dashboards
• In-depth product research reports
• Evaluation of changes from the experiment (without A/B testing)
• Foster a data-driven culture by training and advising product teams on data-informed decisions, experiments set up, designing metrics (product, learning, KPIs)
  
  

Requirements:

• 3+ years experience in the role of data/product analyst.
• Ability to choose an appropriate statistical test and conduct statistical research
• Experience independently analyzing data and generating hypotheses/insights using industry-standard analytics tools (i.e. SQL, Python)
• Strong data communication and interpretation skills including designing dashboards (i.e. Tableau) and presenting complex data insights to non-technical stakeholders.
• Upper-intermediate (B2+) English level.
  
  

Preferred qualifications:

• Experience doing analytics on educational products
• Experience with PySpark and/or Tableau
  
  

What we can offer you:

• Fully remote and full-time collaboration with professional freedom and minimal micromanagement;
• Dynamic Team: Join a diverse, global team with experience across tech, ed-tech, and various industries;
• We use digital tools like Miro, Notion, and Google Workspace for seamless collaboration;
• Impactful Work: Your efforts directly influence the success rates of students finding jobs post-graduation.
• At this time, we are unable to offer H-1B, L-1A/B sponsorship opportunities.
• This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.
  
  

• TripleTen is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, age, religion, disability, marital status, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.