Role Description We are expanding our Data team and are in need of a rigorous Senior Analytics Engineer to partner closely with our Finance and Operations teams. This role will own the Finance/Operations data layer, bring new data into our warehouse from systems like NetSuite, Ramp, and Pigment, and build the dashboards and metrics leadership relies on to run the business. - Stakeholder Collaboration: Partner with Finance, Operations, and the rest of the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts. - Data Infrastructure: Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making. - Data Integration: Design and document how data should flow between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni. - Data Quality: Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data across source systems, Snowflake, and Omni. - Metric Governance: Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations. - Dashboard Development: Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis. - Continuous Improvement: Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows. Qualifications - 5+ years in an analytics role with exposure to financial or operational data sets. - Strong SQL skills and experience building reusable, well-structured data models in a cloud data warehouse environment, ideally Snowflake. - Experience with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma. - Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics. - Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation. - Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs. - Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming. Requirements - Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment). - Experience with wholesalers and EDI. Benefits - Competitive Salary + Equity Package - 401K matching - Wellness, learning, and home-office budgets - Health, Dental & Vision Medical Plans - Tremendous autonomy to set the direction of your work - Unlimited PTO - Company holidays on the first Friday of every month (Excluding November, December, and January)

• Data Modeling & Architecture: Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity. • Cross-Functional Translation: Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets. • Platform Optimization: Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across our modern data platforms, specifically aiding our strategic migration toward Snowflake. • Team Stewardship: Elevate the entire pod’s engineering culture by participating in rigorous peer code reviews, refactoring legacy technical debt, and enforcing strict data security standards up to the point of delivery. • Culture Multiplier: Actively mentor and pair with junior peers to unblock complex bugs, optimize engineering workflows, and natively adopt AI-assisted development tools to accelerate test generation and legacy code discovery.

Role Description We’re looking for a Senior or Lead Analytics Engineer to help Insight Timer learn from its data. Insight Timer is the world’s largest meditation and wellness community, with over 30 million users. You’ll work closely with product, engineering and company leaders, turning their questions into experiments, data models and insights that help people live better. This is a hands-on role with a lot of ownership. You’ll measure and interpret the experiments that decide what we ship. You’ll build the data models and metrics the whole company relies on, and you’ll use good software engineering practices to keep our data clean, trusted and easy to use. A product mindset matters here. You’re building insight that improves the app over a user’s whole lifetime, not just answering one-off questions. You’ll also help lead. As one of the most senior people in analytics, you’ll set the technical bar, mentor other analytics engineers, and help us move toward more self-serve and agentic analytics, where teams can answer their own questions and the platform does more of the work. We like to move fast and do work that matters. You’ll be trusted to make important calls and to balance speed with rigour. If you enjoy building systems that are both scalable and genuinely useful to millions of people, we’d love to talk. Key Responsibilities - A/B test analysis: Analyse and interpret experiments, and turn the results into clear recommendations for the product team. - Analytics delivery: Turn questions from the product team and company leaders into clear, useful answers, and prioritise incoming requests. - Data ingestion, modelling and metrics: Own how data comes in, how it’s modelled, and the metrics people trust. - Self-serve and agentic analytics: Build the tooling, semantic layers and agents that let the rest of the company answer their own questions. - Product and revenue analysis: Dig into behavioural and financial data to find user segments, improve conversion, and understand the consumer life cycle in the app. - Mentoring and leadership: Help grow the analytics engineering team, set technical direction, and lift the quality of what the team ships. - Communication: Explain data clearly to technical and non-technical people, and be honest about effort versus impact. - Excellent communication and interpersonal skills: Build trusted relationships with product, engineering and leadership. Qualifications - Solid experience as an analytics engineer and owning work end to end. - For the Lead level, some experience mentoring or leading others. - Strong SQL on a modern cloud warehouse (we use BigQuery, Looker and dbt). - Experience with large, event-based datasets with varied schemas. - A track record of analysing and interpreting A/B tests; causal inference is a plus. - A background in maths or statistics, or a STEM degree, is a plus. - Experience with Python, LLM or agentic analytics workflows, and semantic layers. Benefits - Competitive salaries and options. - The role is fully remote, but you must be based in Australia. - Extra leave days available for your well-being and birthday. - A generous L&D budget and wellbeing bonus. - Global company retreat every other year.

• We’re looking for a Senior or Lead Analytics Engineer to help Insight Timer learn from its data. • You’ll work closely with product, engineering and company leaders, turning their questions into experiments, data models and insights that help people live better. • This is a hands-on role with a lot of ownership. • You’ll measure and interpret the experiments that decide what we ship. • You’ll build the data models and metrics the whole company relies on, and you’ll use good software engineering practices to keep our data clean, trusted and easy to use. • A product mindset matters here. • You’re building insight that improves the app over a user’s whole lifetime, not just answering one-off questions. • You’ll also help lead. • As one of the most senior people in analytics, you’ll set the technical bar, mentor other analytics engineers, and help us move toward more self-serve and agentic analytics, where teams can answer their own questions and the platform does more of the work. • We like to move fast and do work that matters. • You’ll be trusted to make important calls and to balance speed with rigour. • If you enjoy building systems that are both scalable and genuinely useful to millions of people, we’d love to talk.