Senior Data Analyst

Role Description

As a Senior Data Analyst, you will play a key role in delivering trusted data insights and analytics that support business and product decision-making across the organization. This role is responsible for analyzing complex datasets, developing reporting solutions and dashboards, and translating data into actionable insights that improve operational effectiveness and support strategic initiatives.

• Analyze and curate data sources to support business and product stakeholders in making informed decisions.
• Lead key components of the analytical lifecycle, including data exploration, analysis, reporting, and insight delivery.
• Translate complex data into clear, actionable insights for technical and non-technical audiences.
• Develop and maintain Power BI dashboards, reports, and analytical solutions.
• Perform data wrangling, transformation, and analysis using SQL and enterprise analytical databases.
• Define and document datasets, business logic, and reporting definitions to support consistent data usage.
• Partner with data and product teams to support data governance, data quality, and data management processes.
• Analyze user engagement, operational, and product data to identify trends and opportunities for improvement.
• Mentor junior analysts and promote best practices in analytics, visualization, and stakeholder collaboration.
• Perform other duties as assigned.

Qualifications

• Bachelor’s degree preferred, preferably in Computer Science, Data Analytics, Information Systems, Mathematics, or a related field.
• 6+ years of experience in data analysis, business intelligence, or analytics roles with demonstrated ownership of end-to-end analytical projects.
• Strong experience working with enterprise analytical databases such as Snowflake, Redshift, BigQuery, or similar technologies.
• Experience developing dashboards and reporting solutions using Power BI, Tableau, or similar visualization tools.
• Experience with SQL, data transformation, and analytical reporting workflows.
• Experience with Python and geospatial analysis preferred.
• Real estate, financial services, or related industry experience preferred.

Requirements

• Deep expertise in SQL and data analysis techniques.
• Strong proficiency with data visualization and reporting tools such as Power BI or Tableau.
• Understanding of data modeling, ETL processes, and analytical best practices.
• Ability to communicate technical concepts and analytical findings clearly to business and technical audiences.
• Strong analytical, organizational, and problem-solving skills.
• Ability to work collaboratively across technical and business teams in a fast-paced environment.
• Familiarity with AI-enabled tools that support reporting, documentation, and analysis workflows preferred.
• High level of accountability, attention to detail, and commitment to continuous improvement.
• Ability to show ownership of your work, take on challenges and acknowledge growth opportunities, and demonstrate patience when learning new processes.
• Courtesy, respect, and thoughtfulness in teaming with colleagues and other stakeholders.

Benefits

• You will have the opportunity to accelerate in our rapidly growing organization.
• Agile working environment with flexible working hours and location, career advancement, and competitive compensation package.
• We are a family-friendly company.
• We arrange social activities to help our employees and families become familiar with each other and our culture.
• In addition to other benefits, we offer a pension scheme and 100% complimentary and confidential mental health services.