Senior Data Analyst (Product Operations) at Cover Genius

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Data Modeling, Dashboard Building, Communication, Collaboration, Product Metrics, User Behavior, Sales Funnels, Python, Automation, Problem Solving, Adaptability, Continuous Improvement, Stakeholder Communication, Data Quality

Industry

technology;Information and Internet

Description

The Company Cover Genius is a Series E insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Uber, Hopper, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. Our team and products have been recognized with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities. Our People are Bold, Authentic, Purposeful and Inspired Our People are not Perfect, Traditional, Complacent or Cautious About the Role We are seeking a highly analytical, adaptable, and impact-driven Senior Data Analyst to join our growing Product Operations team. This pivotal role will embed within our product domains and problem spaces, acting as a critical partner to Product Managers in driving growth and optimizing the end-to-end customer experience. You will be obsessed with leveraging data to support teams with strategic product decisions, identify growth opportunities, and ensure operational excellence at scale. This role is ideal for someone excited by continuous change, eager to tackle diverse challenges across various product initiatives, and committed to a data-driven culture Key Responsibilities: What will your day look like? Empower Product Teams to be Data Driven: As a strategic partner, you will provide cross-product insights and connect the dots across multiple programs. As the "truth seeker," you will objectively analyze data and identify opportunities. You will design, develop, and own insightful dashboards and reports that provide visibility into key product metrics, user engagement patterns, and feature performance. These tools will empower product teams to be data-led and make informed decisions by ensuring Product Managers have accurate information. Support Data-Driven Decision Making: You will translate ambiguous business questions into well-defined data problems and deliver actionable recommendations through clean, compelling data narratives. You will collaborate closely with Product Managers to understand user needs and ensure that all decisions are informed by robust data and analysis Drive Product Growth with Actionable Insights: You will perform deep-dive analysis to unpack insights and recommend solutions to top-of-mind problems the business is facing. Your analysis will go beyond simple reporting of "what happened" to provide a clear understanding of "why it happened", supporting product teams in leveraging data for strategic initiatives and decision-making, influencing product strategy and feature prioritization. Champion Continuous Improvement & Automation: Actively participate in retrospectives and contribute to a culture of learning and iteration, using data to identify areas for process and product improvement. Drive automation and productisation of analytical solutions, transforming client questions into scalable analytical solutions. Proactively identify data quality issues or opportunities for improvement in analytics tooling and reporting. Collaborate Cross-Functionally: Work closely with diverse teams, including product, marketing, data engineering, and other relevant teams, to align efforts toward growth initiatives and ensure shared understanding of product performance. Stakeholder Communication: Communicate findings to stakeholders at various levels, adjusting content and complexity to suit the audience, and translating complex analyses into clear, actionable takeaways tailored for both technical and non-technical audiences. Ensure Accountability: Ensure accountability for analytics quality and successful delivery of key projects with measurable client outcomes. Support quarterly and annual planning efforts with data inputs, forecasting trends, and key performance analytics. Experience & Skills: What you will bring: 4+ years of experience as a Data Analyst, preferably within a product-led organization or supporting product teams. Strong SQL proficiency is essential for data extraction, manipulation, and analysis. Experience with data modeling and transformation tools like dbt (Data Build Tool). Familiarity with workflow orchestration tools such as Airflow. Proficiency in building dashboards and reports using business intelligence tools (e.g., Superset) to visualize data and communicate insights effectively. Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders. A strong understanding of product metrics, user behavior, and sales funnels. A proactive and curious mindset, with a relentless focus on identifying opportunities for improvement and driving measurable outcomes. Excellent communication and collaboration skills, with the ability to influence decisions through data. Adaptability and excitement for working in a fast-paced, evolving environment, embracing new challenges across different product areas. Basic understanding of Python for data analysis and scripting is a plus. To help us level up, you will have/be: Data-Driven Mindset: Demands data to inform every significant operational decision. Problem Solver: Approaches challenges with a solution-oriented attitude. Accountable & Results-Oriented: Takes full ownership of work and focuses on tangible execution and measurable improvements. Collaborative Communicator: Fosters clear, timely communication and values constructive feedback. Systems Thinker: Designs processes that are repeatable, documented, and built to scale; avoids one-off solutions. Adaptable: Thrives in a dynamic and evolving environment. Why Cover Genius? Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean? • Flexible Work Environment - our teams are hybrid. We work from home on Wednesdays and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times. We also have the added bonus of a Wellness day a month. • Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company. • Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system. • Social Initiatives - pictures speak a thousand words! Sound interesting? If you think you have the best composition of the above, send us your resume and let's chat! * Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application. For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.

Responsibilities

The Senior Data Analyst will empower product teams by providing cross-product insights and designing insightful dashboards to inform strategic decisions. They will also perform deep-dive analyses to recommend solutions for product growth and ensure accountability for analytics quality.