Analytics Engineer - Pleno

Key Skills

Analytical and Problem solving, Apache Airflow, API, AWS, Data Biuld Tool - dbt, ETL frameworks, Git, Google BigQuery, Google Cloud Platform (GCP), Looker, Python Programming, PyTorch, SQL

Job Description

At Blueground, our vision is to make people feel at home wherever they choose to live. For us, that means ensuring our guests have the peace of mind, flexibility & confidence they need to explore life’s latest adventure.

We’ve grown a lot since our founding in 2013, having raised more than $258m+ in funding, to date -- and that’s just the beginning. We’re now hosting guests in more than 15,000 homes in 32 cities around the world (and growing!), with an aim to hit 100,000 homes in 100 cities by 2025.

Our vision comes to life through our ways of working. For our 1,000+ member team located across 17 countries, we’ve created a culture of collaboration, inclusiveness, and opportunity.

We believe our people should have the power to choose their preferred way to work. Depending on the role’s requirements, team members can choose to work full time in one of our offices, work fully remote, or choose a hybrid model between the two.

We are guided by our core principles, which define how we work and succeed together.

• Putting Guests First drives every decision we make, inspiring us to create truly exceptional experiences.
• Speed keeps us agile and forward-thinking, always innovating to stay ahead.
• Keeping it Honest builds trust through transparency and open communication at every level.
• Embracing Change empowers us to adapt swiftly and thrive in the face of new challenges.
• Diving In reflects our ownership mindset, ensuring excellence, dedication, and impactful results in all we do.

We are seeking a highly skilled and detail-oriented Analytics Engineer to join our growing team. The ideal candidate will play a crucial role in transforming raw data into actionable insights, enabling the company to make informed decisions that drive business growth. As an Analytics Engineer, you will collaborate closely with the data team and business stakeholders to design, implement, and maintain robust data models and analytics solutions.

Key Responsibilities:

Data Modeling:

• Design, develop, and optimize data models to support reporting, analytics, and business intelligence.
• Maintain and update existing data models as the business evolves.

ETL Development:

• Develop, test, and maintain ETL (Extract, Transform, Load) processes to ensure the accurate and timely flow of data from various sources into data warehouses.
• Collaborate with data engineering to ensure the quality and reliability of data pipelines.

Data Warehousing:

• Oversee the management and optimization of data warehouses to support analytics and reporting requirements.
• Ensure data warehouses are scalable, reliable, and secure.

Reporting & Dashboards:

• Design and develop dashboards and reports using Google Looker Studio to provide actionable insights to stakeholders.
• Ensure that dashboards are user-friendly and meet the needs of various business units.

Collaboration:

• Work closely with business stakeholders to understand their data needs and translate them into technical requirements.

Continuous Improvement:

• Stay updated on the latest trends and technologies in data engineering and analytics.
• Continuously seek opportunities to improve data processes, tools, and methodologies.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Economics, Statistics or a related field.
• 2+ years of experience in a data engineering, analytics engineering, or a similar role.
• Proficiency in SQL and experience with data modeling tools.
• Knowledge in Python for data analysis and extraction.
• Experience with ETL tools (e.g., Airflow).
• Strong understanding of data warehousing concepts and technologies (e.g. BigQuery or similar).
• Experience with Google Looker Studio or similar tool.
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus.
• Familiarity with Scrapers, APIs, DBT and Git are a plus
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.