Job Description
This is a Data Analyst - Risk role at Easygo, a leading company in AU. We are seeking a skilled Data Analyst with a specialisation in risk management to play a pivotal role in safeguarding our platform's integrity.
Your role will involve ensuring that any abuse on our Stake platforms is identified, analysed, reported, and actioned. You will use advanced analytics and statistical methods to analyse large datasets, identify potential risks and trends, and develop and maintain risk models to quantify and predict potential threats.
You will be responsible for generating clear and concise reports, dashboards, and visualizations to communicate risk-related findings to stakeholders. You will join our Business Intelligence Team and report to our Data Analytics Lead for Risk.
Key Responsibilities:
Assist with the regular monitoring and analysing customer activity, transaction patterns, gameplay, and related metrics to identify irregularities or potential risks.
Conduct detailed investigations into flagged or reported risks, delivering timely assessments, findings, and resolutions.
Develop, generate, and deliver regular reports to relevant stakeholders, offering clear insights to guide decision-making and enhance risk mitigation strategies.
Collaborate with cross-functional teams to refine and enhance risk detection and monitoring protocols.
Continuously improve risk assessment methodologies, ensuring alignment with evolving threats and business requirements.
Requirements:
A minimum of 2 years' experience in data analytics.
Experience working with large transactional datasets in fraud, forensic, remediation or risk-related data roles.
Proficiency in data analysis and visualisation tools (e.g., Excel, Tableau, Power BI).
Experience with SQL and Python.
Strong problem solving and analysis skills, combined with effective judgement and communication skills.
Preferred Qualifications:
Experience with Jira and/or Google suite.
Cryptocurrency experience.
iGaming, Sports & Gambling knowledge.
Perks of Working at Easygo:
EAP access for you and your family.
Access to over +,000 courses across our Learning and Development Platform.
Paid volunteer day.
Daily catered breakfast.
Massage Wednesdays.
Team lunches and happy hour in the office from 4pm on Fridays.
Fun office environment with pool tables, table tennis and all your favourite gaming consoles.
Help yourself drinks fridges and snack shelves.
Your role will involve ensuring that any abuse on our Stake platforms is identified, analysed, reported, and actioned. You will use advanced analytics and statistical methods to analyse large datasets, identify potential risks and trends, and develop and maintain risk models to quantify and predict potential threats.
You will be responsible for generating clear and concise reports, dashboards, and visualizations to communicate risk-related findings to stakeholders. You will join our Business Intelligence Team and report to our Data Analytics Lead for Risk.
Key Responsibilities:
Assist with the regular monitoring and analysing customer activity, transaction patterns, gameplay, and related metrics to identify irregularities or potential risks.
Conduct detailed investigations into flagged or reported risks, delivering timely assessments, findings, and resolutions.
Develop, generate, and deliver regular reports to relevant stakeholders, offering clear insights to guide decision-making and enhance risk mitigation strategies.
Collaborate with cross-functional teams to refine and enhance risk detection and monitoring protocols.
Continuously improve risk assessment methodologies, ensuring alignment with evolving threats and business requirements.
Requirements:
A minimum of 2 years' experience in data analytics.
Experience working with large transactional datasets in fraud, forensic, remediation or risk-related data roles.
Proficiency in data analysis and visualisation tools (e.g., Excel, Tableau, Power BI).
Experience with SQL and Python.
Strong problem solving and analysis skills, combined with effective judgement and communication skills.
Preferred Qualifications:
Experience with Jira and/or Google suite.
Cryptocurrency experience.
iGaming, Sports & Gambling knowledge.
Perks of Working at Easygo:
EAP access for you and your family.
Access to over +,000 courses across our Learning and Development Platform.
Paid volunteer day.
Daily catered breakfast.
Massage Wednesdays.
Team lunches and happy hour in the office from 4pm on Fridays.
Fun office environment with pool tables, table tennis and all your favourite gaming consoles.
Help yourself drinks fridges and snack shelves.
💡 Quick Summary
Seeking a career-building opportunity? The Data Analyst position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Melbourne offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.