Senior Business and Data Analyst

About Uniplaces 🏢

Uniplaces is Europe's largest online marketplace for student housing. We help students, digital nomads, and remote workers from around the globe easily and safely book homes in Europe. We also provide landlords with a simple digital solution to reach millions of potential tenants. We're committed to changing the way people book and live in rentals globally, making a real difference in the world.

About the Role 🕵️‍♀️

We're looking for a talented and experienced Senior Business Data Analyst to join our growing team. In this role, you'll be a key player in driving data-driven decisions, challenging teams to optimize their business areas, and validating our best growth strategies. We're a results-focused company with global goals that values teamwork, where everyone feels responsible and empowered to reach their full potential and get rewarded for their efforts.

You'll be responsible for supporting top-level decisions using data. We expect you to handle data preparation and activities to support business intelligence (BI). You'll identify specific information for the business, present your findings in a clear and intuitive way, and push the management team to improve performance.

What You'll Do 📝

• Data Analysis and Interpretation:
  • Lead the analysis of large datasets to uncover actionable insights and trends.
  • Translate complex data findings into easy-to-understand and engaging narratives for stakeholders.
• Business Intelligence:
  • Develop and maintain effective business intelligence dashboards and reports for key stakeholders.
  • Offer strategic recommendations based on data analysis to meet business goals.
• Data Modeling and Forecasting:
  • Design and implement advanced statistical models to predict business trends and outcomes.
  • Work with cross-functional teams to create data-driven strategies for growth and efficiency.
• Data Quality and Governance:
  • Set up and maintain data quality standards, ensuring data integrity across the organization.
  • Partner with Product teams to improve data storage, retrieval, and processing capabilities.
• Cross-Functional Collaboration:
  • Collaborate with departments like Marketing, Finance, and Operations to understand their data needs and provide actionable insights.
  • Serve as a bridge between technical and non-technical teams to ensure clear communication and understanding of data-related requirements.
• Continuous Improvement:
  • Stay updated on industry trends, new technologies, and best practices in data analysis.
  • Actively look for opportunities to enhance processes and automate the data analysis workflow.
• Team Leadership and Mentorship:
  • Guide and mentor junior data analysts on the team.
  • Cultivate a collaborative and innovative environment that promotes knowledge sharing and professional growth.

A Typical Day Might Look Like 📅

• Work with stakeholders to define key performance indicators (KPIs) and gather business needs for reporting.
• Create design specifications for new reports and dashboards.
• Test reports to ensure a great user experience and data quality.
• Investigate and solve data discrepancies and inconsistencies, helping to address the root causes.
• Create and modify dashboards and reports using BI tools based on project needs.
• Build queries to answer specific questions, as well as complete independent ad-hoc requests, verifying data and working with other departments.
• Focus on understanding the relationships within the data and the business's key performance indicators.

What We're Looking For 🔎

• Experience & Education:
  • At least 3 years of proven experience.
  • Relevant educational background.
  • Strong and demonstrable problem-solving skills.
  • Creative and critical thinking skills.
  • Hands-on, "get-it-done" mindset.
  • Results-oriented with high levels of determination.
  • Fluent in English.
• Preferred Tools Knowledge:
  • Excellent Excel or Google Sheets skills.
  • Experience with Tableau and SQL is a must.
  • Knowledge of a BI tool.
  • Experience with data analysis using Python or R is a plus.
  • Knowledge of data warehousing concepts would be beneficial.

Why You'll Love Working Here ❤️

• Meet people from all over the world daily and feel like you're truly helping landlords get their properties noticed and fully booked.
• Enjoy a company culture that's people-focused and emphasizes personal development and training to help you fully realize your potential.
• Access a talent pool that's hard to find. Your colleagues and stakeholders will have impressive backgrounds and have grown within Uniplaces. You'll find mentors and role models here.

Additional Information ℹ️

• This is a remote role based in Portugal, with the option to work from the office.
• You must be available to work 40 hours per week.

Ready to Apply? 😃

Think this sounds like the right job for you? Fantastic! Apply below and let us know why you're a great fit for Uniplaces!

Job Category: Data Analysis