Senior Data Analyst

This is a fully remote position, open to applicants in Netherlands.

📋 Description

• Take charge of comprehensive data analysis, from shaping data releases to providing actionable business insights via Power BI dashboards and thorough analytical explorations.

• Ensure the production of dependable, high-quality data products that facilitate informed decision-making throughout the organization.

• Work in close collaboration with cross-functional teams—including Data Analysts, BI Analysts, Data Engineers, Data QA Engineers, Data Scientists, and Product Managers—to gather, structure, and analyze data sources and datamarts.

• Propel product and business insights, enhance operational efficiency, and elevate overall data quality as we advance as a data-driven organization.

• Identify, assess, and curate existing data sources to assist Product and Business stakeholders in making informed choices.

• Manage essential aspects of the analytical lifecycle, from data exploration to insight delivery.

• Convert complex data into clear, actionable insights for both technical and non-technical audiences.

• Guarantee accurate interpretation and utilization of datasets through explicit technical definitions and documentation.

• Design, develop, and deliver comprehensive reporting and dashboards utilizing Power BI.

• Conduct data wrangling and transformations using SQL on analytical databases.

• Collaborate with data teams to enhance data management and governance, including creating SOPs for data ingestion and datamart development.

• Extract insights from user engagement and product analytics to optimize operations and enhance business results.

• Mentor junior analysts, promoting best practices in analysis, visualization, and stakeholder engagement.

• Carry out other assigned responsibilities.

⛳️ Requirements

• Over 6 years of experience in data analysis, showcasing ownership of complete analytical projects.

• Extensive experience with OLAP databases such as Redshift, Snowflake, BigQuery, or similar systems.

• Bachelor’s or Master’s degree, ideally in Computer Science or a related discipline.

• Proficiency in Python (version 3.5 or higher) and geospatial querying.

• Experience within the real estate sector.

• Profound, hands-on knowledge of SQL.

• Skilled in using data visualization tools like Power BI, Tableau, or similar platforms.

• Capability to translate non-technical stakeholder needs into user-focused, consumable analyses and reports.

• Familiarity with data ETL and processing methodologies.

• Ability to utilize AI tools to aid in technical documentation, reporting, and testing.

• Strong interpersonal and teamwork skills with a proactive, collaborative approach.

• Demonstrated ownership of your work, readiness to take on challenges and recognize growth opportunities, and patience when acquiring new processes.

• Courtesy, respect, and thoughtfulness in collaborating with colleagues and other stakeholders.

🏝️ Benefits

• Agile working environment with flexible hours and location.

• Opportunities for career advancement.

• Competitive compensation package.

• Family-friendly company culture.

• Social activities designed to help employees and their families connect and embrace our culture.

• Pension scheme.

• 100% complimentary and confidential mental health services.