Analytics Engineer

vor 1 Monat

Sydney, Österreich Cover Genius Vollzeit

The Company

Cover Genius is aSeries D insurtechthat protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak andBooking.com, Intuit, Uber,Hopper,Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re alsoavailable at Amazon,Flipkart,eBay, Wayfair and SE Asia’s largest company, Shopee. Our partners integrate withXCover, 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 APACin 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

As a BI Analyst/Analytics Engineer on our Data Engineering Team, you will own the implementation of analytical and reporting data modelling that support informed decision-making throughout the organisation.

To drive success in this role, you should possess strong analytical abilities, proficiency in SQL, and experience with data visualization tools. As the BI Analyst/Analytics Engineer, you will collaborate closely with product managers and other departments to develop strategies for enhancing operational efficiency, identifying trends, and making critical metrics easily accessible.

Key Responsibilities:
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities
What you will bring:
  • 2+ years of experience in a Business Intelligence/Business Analyst/Analytics Engineer role or equivalent
  • Experience using dashboarding tools (Tableau / Apache Superset / Looker etc..)
  • Advanced SQL knowledge, with a focus on analytics and reporting. DBT skill is a plus
  • Attention to details, embrace challenges, eager to learn, having the growth mindset
  • Be well organised, good time management and produce deliverables on time
  • A good communicator, who is able to take complexity and communicate it in a clear, concise and logical manner
  • Bachelor's degree in a relevant field, A postgraduate degree and/or record of academic achievement is also desirable

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 - we are outcome focussed and understand that for our people to perform at their best flexibility is critical.

• 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 -picturesspeak 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.

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