Head of Data and Analytics - SC Care

Sydney

SafetyCulture

Digitize & improve elements of your operations. Give your teams the knowledge, tools & confidence to work safely & meet higher standards.

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About SafetyCulture
SafetyCulture is a customer and product-led SaaS company on a mission to empower frontline workers to take ownership of their safety and well-being. We believe in making teams better every day, fostering an inclusive culture where everyone feels they belong.
As part of our mission, we help customers resolve workplace safety issues quickly and efficiently through our Marketplace team. Whether it's ordering protective equipment or conducting audits, we make it easier and more affordable for customers to act on identified risks in the SafetyCulture app. Join us in shaping a safer workplace while contributing to the growth of one of Australia’s leading tech companies. 
SafetyCulture Care
SafetyCulture Care is an underwriting agency in the Australian insurance market and our parent company, SafetyCulture has the largest repository of safety data in the world. We are looking to use this data to help businesses run a better, safer business.  Combine insurance data and risk management data to help prevent things from going wrong.
SafetyCulture Care is looking for a Head of Data & Analytics to grow and create an innovative approach to manage the insurance data analytics team, establish core Data Governance practices, harnessing external data to drive better insights and develop analytics to support business decision-making. Reporting to the GM Product and Pricing, you’ll implement new analytical and data tools, and manage change across different business units.
This is a new and exciting opportunity to build a business from the ground up and a role that can create new foundational data sets with over a billion checks in the SafetyCulture platform and years of insurance data.
How you can make an impact
As a leader within the business, you’ll have influence over the direction of our data strategy and how we enable our overall business strategy. With your proven track record in data science, data engineering, or analytics and a deep understanding of how to apply external data to solve business challenges, you’ll lay out a vision for the Data team that achieves our ambitious growth targets and enables us to scale our business practices at the same pace. You’ll have the opportunity to build a data function from an underdeveloped state and make a big impact and help change the way insurance is done.

What You'll be Doing

  • Develop a strategy for integrating external data sources (e.g. third party datasets) into our data ecosystem to enhance our existing data insights
  • Use data analytics and machine learning techniques to transform raw external data into actionable insights that support business decisions and identify growth opportunities
  • Establish an insurance data warehouse to enable pricing, underwriting, reporting and insurance business decisions
  • Respond and manage regulatory and key Stakeholder data requirements 
  • Lead the Data function, including the vision, strategy, planning, growth and development of the team
  • Manage a medium-sized team consisting of Data Analysts, Data Engineers and Data Scientists
  • Establish a core Data Governance practice
  • Develop analytics and business intelligence to support business decision-making, including self-serve visualisations, hypothesis testing and statistical modeling
  • Implement new analytical tools as necessary
  • Partner with the senior leadership team and cross-functional teams (Product, Pricing, Claims and Risk Services) to understand their data needs and ensure that external data insights are aligned with company goals

What You'll Need

  • +7 years background in insurance data science, analytics, or data engineering within the general  insurance industry
  • Demonstrated experience in incorporating third party data sources to derive insights
  • Proven experience building and managing a team
  • Ability to effectively communicate with people from technical and non-technical background and use data to tell a story
  • Ability to work in a fast-paced growth environment
  • Experience articulating a vision and strategy up and down an organisation

Nice to Have

  • Experience in both large and medium sized businesses, or different types of businesses
  • Experience building a data function from an underdeveloped state

Why SafetyCulture

  • Equity with high growth potential, and a competitive salary
  • Hybrid working; we encourage you to create the best work blend while working from your home and the local SafetyCulture office
  • Access to professional and personal training and development opportunities
  • Participation in hackathons, workshops, and lunch & learn sessions
  • Community involvement, open source work, attending talks and events, and experimenting with new technologies.

Office Benefits

  • In-house Culinary Crew serving up daily breakfast, lunch, and snacks
  • Barista coffee machine, craft beer on tap, boutique wines, and a range of non-alcoholic beverages
  • Quarterly celebrations and team events
  • Table tennis, board games, book library, and pet-friendly office.
We’re committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day. We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates. Thanks to the tireless efforts of the entire SafetyCulture team we’ve built an incredible culture which has seen us recognised as a Best Place to Work in Australia, the US and the UK. You can find out more about life at SafetyCulture via YoutubeTwitterInstagram and LinkedIn.
To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Business Intelligence Data Analytics Data governance Data strategy Data warehouse Engineering Machine Learning Open Source Statistical modeling Statistics Testing

Perks/benefits: Career development Competitive pay Equity / stock options Gear Pet friendly Snacks / Drinks Startup environment Team events

Region: Asia/Pacific
Country: Australia

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