Data Analyst

4 weeks ago


Melbourne, Victoria, Australia Go1 Full time

About the Role

We are seeking a highly skilled Data Analyst to join our team at Go1. As a Data Analyst, you will play a critical role in accelerating our global growth by providing actionable insights to our business functions.

Key Responsibilities

  • Deeply understand our products and user engagement, and collaborate closely with our business domains to understand their priorities and most important business questions.
  • Conduct in-depth analysis to identify trends, patterns, and deliver timely actionable insights that support both strategic and operational decisions.
  • Ensure the accuracy, completeness, and reliability of data through robust profiling, testing, and partnering with Data Engineering in the implementation of automated data quality checks.
  • Manage and maintain the Analytics Data Products that you develop.
  • Advocate for a test & learn culture and encourage our stakeholders to make meaningful bets that help us to succeed in the long run.
  • Identify and implement opportunities for process improvement and automation within our data analysis workflows.
  • Help to identify a roadmap of current and future analytics projects through close partnership with our stakeholders, and understanding of their key problems.
  • Help mature our data culture, we are a year into our journey of providing actionable insights, and empowering our business to use these in their daily operations.

Requirements

  • Degree in fields such as Statistics, Mathematics, Economics, Data Science, or Business Analytics.
  • 3+ years of relevant experience in the fields of Analytics or Data Science, generating insights, uncovering trends, and creating visualisations.
  • Solid abilities to handle big data with SQL and Python, joining data sets, and translating data into actionable insights quickly.
  • Knowledge and application of data modelling, and core statistical analyses including correlation, regressions, and classifications.
  • Motivated when working in a fast-paced, and at times a multiple project environment.
  • Good business understanding (specifically of B2B business models).
  • Curious, adaptable, and can apply a pragmatic approach to what is needed today.
  • Strong written and presentation skills (native-speaker level ability in English) that allow you to synthesize complex context into concise, actionable information for non-technical audience.
  • Passion to learn and develop yourself.
  • Team player who likes to collaborate with your peers in the Data Analytics & Data Science team as well as business stakeholders.

Additional Skills and Experience

  • Experience working with CICD frameworks to automate the deployment, and testing of your code, and data, from Development to Production data environments.
  • Experience modelling code in DBT Core, and analysing and building visualisations in Databricks (lake-house), and PowerBI.
  • Knowledge in concepts of experimental design, hypothesis testing, sampling, power analyses, A/B testing.

Benefits

  • Annual bonus or commission plan.
  • Employee Stock Option Plan: Opportunity to share directly in our success through stock options.
  • Public Holiday Swap: Swap a public holiday for another preferred day.
  • Wellbeing & Learning Days: Additional five days paid leave per year.
  • Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget.
  • WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport.
  • Home Office Setup Budget: One-off allowance for desk, chair, and/or monitor.
  • Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers.
  • Wellbeing Support: TELUS Health EAP or Spill.


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