Data Analyst

Get AI-powered advice on this job and more exclusive features. Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. Since our inception in 2014, we've scaled to a $2 billion valuation and gained a presence in 6 countries globally – Australia, New Zealand, Singapore, Malaysia, the UK and Canada. We now service over 300,000 businesses and more than 2 million employees. Who we are Employment Hero is on a mission to make employment easier and more valuable for everyone. Our Employment Operating System brings hiring, HR, payroll and benefits into an all-in-one solution. The EH Way We are Mission First – everything we do is driven by our Mission. We are Remote First – we champion a remote environment with asynchronous communication and strong autonomy. We are AI First – we use AI to accelerate our mission; AI is a fundamental part of how we operate, innovate, and scale. We are Apolitical – we do not take a position on political or social topics unless it relates to our Mission. We live by our Values – we role‑model our values 100% of the time. We expect High Performance – we set a high standard and are not satisfied with being average. This role The Data Services Analyst owns the fast lane for data requests—handling extracts, quick‑turn analyses, and triage to keep the queue moving. By resolving ad‑hoc asks, enforcing intake standards, and scaling repeat work into reusable assets, you’ll help the wider team deliver roadmap projects faster, and with higher quality. You’ll operate within defined SLAs, maintain consistency across tools and processes, and use AI to handle simpler queries while escalating complex analysis to senior analysts. Over time, you’ll help train, refine, and maintain our AI knowledge base to make insights faster and more accessible across the business. Handle Ad‑Hoc Requests & Rapid Response Deliver data extracts, quick analyses, and standard reports under 1‑5 day SLAs. Keep the CX queue moving by partnering with CX Ops (e.g., Zendesk extractions) and resolving operational blockers quickly. Escalate complex or strategic requests to analysts for roadmap prioritisation. Maintain SLAs and communicate status clearly in Jira or Slack. Triage & Intake Management Review and route all incoming requests to the right place—data services, analytics, or backlog. Use standard intake briefs to clarify requirements and enforce quality rules. Identify missing context or unclear asks early to prevent rework. Support automated triage and tagging as part of our AI‑enabled intake process. Turn Repeat Asks into Reusable Assets Spot recurring requests and propose opportunities for dashboards, standard extracts, or reusable templates. Collaborate with Senior Analysts to move these into the data product backlog. Maintain a library of approved outputs and ensure they stay accurate over time. Use AI to Accelerate Delivery Leverage AI tools for drafting SQL, summarising insights, and producing quick answers. Edit and validate AI‑generated outputs before sharing. Maintain and improve the AI knowledge base—curate prompts, tag reusable queries, and feed learnings back to Data Platforms. Help test and improve RAG (retrieval‑augmented generation) functionality for internal use. Maintain Data Quality & Consistency Validate extracted data for accuracy and completeness before delivery. Follow naming conventions, metric definitions, and governance rules. Log data quality issues and route them to Data Platforms for remediation. Contribute to the maintenance of clean, consistent datasets and documentation. Who you are Strong analytical and problem‑solving skills; attention to detail and accuracy. Proficiency in SQL and familiarity with BI tools (Tableau, Power BI, or Looker). Experience in data extraction, reporting, or business operations support. Excellent written communication and stakeholder coordination skills. Comfortable managing multiple requests in a fast‑paced, service‑oriented environment. Experience using AI tools or large language models (preferred but not required). Working Style, Principles & Expectations Speed with accuracy: Deliver fast without compromising trust in data. Service mindset: Communicate clearly, manage SLAs, and follow through. First‑time quality: Triage properly, clarify requirements, and avoid rework. Reuse over repeat: Flag recurring asks and turn them into scalable assets. Leverage AI: Let automation handle routine work; focus on higher‑value analysis. Collaborate across teams: Work seamlessly with Analysts, Operations teams, Data Platforms and stakeholders. Continuous improvement: Learn new tools, refine workflows, and help improve the AI engine. Clarity & accountability: Own your queue, meet deadlines, and communicate openly. What we can offer You will work remotely, with the flexibility to own your time and impact. You will access cutting‑edge tools to amplify your work, knowledge and outputs. You’ll surround yourself with ambitious, outcome‑driven colleagues who challenge you to do the best work of your life. You’ll own ESOP (employee share options) in one of the world’s fastest‑growing tech companies. You’ll also have access to a wide range of benefits, including a generous parental leave policy, subsidised egg freezing, a WFH office expense budget, and outstanding learning & development opportunities. At Employment Hero, we are committed to safeguarding the privacy of your application data. To understand how we do so, you can read our Applicant Privacy Policy at employmenthero.com/legals/applicant-policy/. Employment Hero celebrates diverse perspectives and experiences. We invite people of all backgrounds and identities to apply for this position. #J-18808-Ljbffr