Senior Data Analyst, Tiney

• Significant experience (typically 5+ years) designing, building, and scaling analytics infrastructure and reporting for high-growth companies or complex organisations
• Advanced SQL and data modelling expertise, including hands-on with BigQuery, Redshift, or Snowflake, and frameworks like dbt or Dataform
• Demonstrable leadership in designing and measuring A/B or multivariate business/product experiments, with a track record of translating results into strategy
• Proven ability to influence executive leadership with data-backed insight, drive adoption of new data tools/processes, and establish best-practice governance
• Experience architecting and managing modern ETL/reverse ETL pipelines (e.g., Stitch, Census, Airflow, Fivetran)
• Mastery of dashboarding/BI platforms (Metabase, Looker, Tableau, Power BI or similar) and a passion for impactful, intuitive reporting
• Outstanding communicator with a history of mentoring analysts and coaching non-technical teams on data interpretation
• Commercial and entrepreneurial mindset; highly self-directed and motivated by business impact

Desirable

• Data Strategy & Leadership (15%): Establish and evolve our data vision, governance, and infrastructure to embed data as a foundational asset for every function at tiney
• End-to-End Data Architecture (25%): Own the full analytics stack—Dataform in BigQuery, Stitch & Census pipelines, and Metabase dashboards—ensuring scalability, reliability, and adoption.
• Advanced Analytics & Experimentation (25%): Lead complex analysis, modelling, A/B tests, and deep dives into business-critical, operational, and product data; present recommendations at executive level.
• Executive Stakeholder Partnership (20%): Act as a data advisor to the C-suite and business leads, translating complex analyses into actionable strategies for growth and performance.
• Team Enablement & Data Literacy (10%): Coach and mentor teammates across the business in data best practices; build self-serve tools and foster an organisation-wide culture of evidence-based decision making.
• Continuous Improvement (5%): Audit, evolve, and innovate our analytics tooling and processes as tiney grows, ensuring best-in-class data operations.

• 1. Apply with your profile
• 2. Initial Call – A short video chat with someone from our people team
• 3. Take home task – You’ll prepare something relevant to the role
• 4. Technical Interview – A deep dive into your task and experience
• 5. Team Chat – Meet your future teammates and senior stakeholders
• 6. Offer – We move fast when we know we’ve found the right person!