Data Analyst

About the role

As a Data Analyst at Kindred Group, you will play a crucial role in driving insights that support responsible gaming and compliance initiatives. You will collaborate with various stakeholders to identify business challenges and translate them into actionable data-driven recommendations.

The position requires a strong foundation in SQL and experience with data visualization tools such as PowerBI or Tableau. Success in this role means effectively communicating findings to stakeholders and continuously improving your analytical skills while contributing to a safer gaming environment.

Skills that matter here

• SQL: You will use SQL extensively for data extraction, transformation, and analysis.
• PowerBI: This role involves developing PowerBI reports and dashboards for compliance teams.
• Tableau: Experience with Tableau is beneficial for creating and maintaining visual reports.
• Python: Knowledge of Python is advantageous for data analysis, though not mandatory.
• R: Familiarity with R can enhance your data analysis capabilities.

Who this role suits

• A candidate with 3-4 years of analytical experience, particularly in data projects.
• Someone who is inquisitive, resilient, and detail-oriented.
• A person who thrives both independently and in cross-functional teams.
• An individual with strong problem-solving skills and a proactive approach to identifying issues.

From the employer

What you will do:

• Work with stakeholders to understand business challenges and translate them into actionable insights
• Develop PowerBI reports and dashboards to assist Compliance and Governance teams on their daily activities
• Perform ad-hoc data extraction, manipulation and analysis, translating findings into actionable insights
• Produce materials summarising your analysis and present compelling narratives to stakeholders.
• Reconcile data when data integrity issues are found.
• Evaluate the impact of proposed policy and procedural changes, shaping the future of responsible gaming
• Exhibit curiosity and an inquisitive mindset by not stopping at the questions asked and going beyond when findings appear questionable.
• Continuously improve on your technical and soft skills.

Your experience:

• Practical experience of completing data projects using SQL in an industry setting; at least 3-4 years' experience of working in analytical role.
• Advanced SQL skills for data extraction, transformation and analysis
• Experience exploring and analysing structured and unstructured data; presenting findings with effective data visualisation.
• Building and maintaining PowerBI or Tableau reports; creating and maintaining clear documentation on key metrics, data sources and business logic
• Knowledge of Python or R is advantageous but not mandatory
• Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus.
• Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible Gambling is not necessary but advantageous.
• Degree preferred in Mathematics, Statistics, Computer Science, or other Science related disciplines.

Additional Qualities

• Inquisitive, resilient, and reliable
• Strong problem-solving skills
• Detail-oriented and self-disciplined
• Experience working independently and as a member of a cross-functional team
• Ability to anticipate work needs, to identify issues proactively and to recommend solutions.