Data Analyst

Tillster is hiring a Data Analyst to own smaller analytical domains and deliver end-to-end analysis with growing independence. The role builds and maintains Looker reporting, supports data quality and experimentation, and partners with business stakeholders and data teams to surface insights.

Responsibilities:

• Deliver analytical work end-to-end for assigned business areas — from scoping and analysis through to presentation and stakeholder follow-through — with minimal re-direction
• Support ad-hoc analysis for internal stakeholders including Marketing, Product, Finance, and Account Management, providing interpretive framing alongside data outputs rather than data retrieval alone
• Begin to proactively surface trends, anomalies, and data-driven observations to stakeholders, developing the instinct to flag what matters without being asked
• Support A/B test experiments under the guidance of the Senior DA — including data preparation, metric tracking, and results summaries — building toward independent experimental design at Senior level
• Support the Senior DA in GA4 reporting, tracking plan validation, and custom dimension and metric implementation
• Develop working knowledge of GA-to-warehouse integration and tagging practices in preparation for owning this domain at Senior level
• Design, build, and maintain Looker dashboards and Explores for assigned business areas, owning deliverables with limited rework
• Develop LookML including dimensions, measures, derived tables, and Explore configurations — ensuring all work is documented and consistent with team standards
• Contribute to the shared semantic layer by flagging metric definition inconsistencies and proposing resolutions in collaboration with the Senior DA and Analytics Engineering team
• Expand self-service analytics for non-technical stakeholders, enabling them to answer their own questions and reducing ad-hoc request volume to the team
• Maintain accuracy and consistency of production Explores and dashboards as underlying data warehouse structures evolve
• Take ownership of data accuracy for assigned dashboards and analytical outputs — proactively investigating discrepancies and escalating upstream issues to Data Engineering with clear root-cause evidence
• Write performant SQL including window functions and CTEs; collaborate with Data Engineers on query optimisation and derived table design
• Develop a working understanding of data pipelines feeding owned dashboards sufficient to diagnose freshness and quality issues and communicate resolution timelines to stakeholders
• Begin collaborating with Analytics Engineers on LookML architecture and semantic layer requirements for owned areas
• Follow and actively contribute to coding standards, SQL style guides, LookML conventions, documentation requirements, and PR review processes
• Participate in code reviews, providing constructive and consistent feedback that builds quality across the team
• Support Junior Analysts through paired working and direct feedback, under the guidance of the Senior DA
• Partner closely with Senior Analysts, Data Engineers, and business stakeholders; ask clarifying questions early and communicate proactively on blockers and timelines
• Apply AI and LLM tools hands-on to accelerate day-to-day analytics workflows — including SQL generation, LookML authoring, documentation, and exploratory analysis
• Begin experimenting with AI-assisted insight narration and anomaly detection, sharing learnings with the team
• Develop familiarity with self-serve analytics agent concepts (Cortex Analyst or equivalent) in preparation for owning this capability at Senior level
• Actively develop skills across advanced SQL, Python, statistical analysis, and cloud data platforms
• Build toward independent ownership of experimentation, GA4, and stakeholder advisory at Senior level

Requirements:

• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering — or equivalent practical experience
• 2–4 years of experience in a data analytics or BI role
• Strong SQL skills including window functions and CTEs
• 2+ years of hands-on experience with Looker and LookML development
• Experience with AWS or Google Cloud data warehouses (Redshift or BigQuery)
• Demonstrable experience building dashboards and Explores for non-technical business users
• Working knowledge of software development best practices: Git, PR reviews, code style guides
• Working knowledge of agile development processes
• Ability to translate business questions into analytical tasks with growing independence
• Clear, confident written and verbal communication with business stakeholders
• No Visa Sponsorship
• Exposure to A/B testing concepts and basic experimental design
• Foundational Python skills for data manipulation or automation
• Familiarity with GA4 reporting and tracking fundamentals
• Experience with AI or LLM tools applied to analytics workflows
• Experience with Linux/OSX command line and Git
• Understanding of ELT pipeline concepts and cloud data infrastructure
• Prior experience mentoring or supporting more junior colleagues