Data Analyst, Hometree

• The ideal candidate has strong technical ability and thrives at turning complex data into clear, actionable insights
• Experience: 3-5 years as a Data Analyst with expertise in Looker (LookML, dashboards), strong SQL skills, and experience with Google BigQuery or similar data warehouses
• Technical Skills: Advanced SQL, Looker for visualisation, familiarity with ETL processes, and understanding of data warehousing concepts
• Soft Skills: Strong analytical and problem-solving abilities, excellent communication skills for technical and non-technical audiences, attention to detail, and the ability to work independently and collaboratively
• BI Tool Expertise: Experience building dashboards and reports using BI tools; Looker experience is a strong plus
• Spreadsheet Skills: Proficient in tools like Google Sheets, with the ability to build models and automations
• Insight Translation: Ability to translate complex data into clear, actionable insights and recommendations

Desirable

• Join us as a data analyst to own KPIs, build Looker dashboards, and turn complex data into insights that drive strategy, growth, and success
• Reporting to: Head of Business Intelligence
• We're seeking a skilled data analyst with 3–5 years of experience to own and evolve key performance metrics, build impactful dashboards in Looker, and drive insights through advanced SQL and BigQuery
• You'll collaborate across teams to automate reporting, ensure data quality, and perform deep-dive analyses that support strategic decisions and fundraising efforts
• Own Key Metrics: Own and evolve key performance metrics to track and drive company success
• Dashboard Development: Build and maintain dashboards in Looker to support cross-functional teams
• SQL & Data Extraction: Write and optimise SQL queries in BigQuery to extract actionable insights from the data warehouse
• Reporting Automation: Collaborate with stakeholders to automate and streamline reporting processes
• Data Quality Partnership: Partner with Product and Engineering to ensure data quality, consistency, and availability across the stack
• Ad Hoc Analysis: Conduct deep-dive analyses to answer business questions, inform strategy, and support fundraising efforts

• We usually respond within three days
• Initial Call: Start with an introductory call with our Junior Talent Acquisition Specialist to discuss the role and your potential fit. (30 mins)
• Skills-Based Interview: Engage in a detailed discussion about your past experiences with our Head of Business Intelligence (1 hr)
• Values Interview: A Values Based Interview with the Head of Commercial Operations and our Data Engineer (40 mins)
• Final/Task Interview: Final interview with Head of Business Intelligence and our Chief Technology Officer