Data Analyst

hackajob is collaborating with Bet365 to connect them with exceptional professionals for this role. As a Data Analyst, you will turn complex data into clear insight that supports better decisions across our business Within our AI and Automation department, the Data Team transforms large and complex datasets into practical reporting, clear insight and visual stories that support both operational and strategic decisions. This role focuses on building dashboards, responding to analytical requests and turning business questions into structured analysis. Working with teams across the business, the role combines data handling, visualisation and storytelling to help make complex information easier to understand and act on. The listed salary for this position is $90,000-$120,000 annually. Preferred Skills, Qualifications and ExperienceStrong hands-on experience with SQL and Google BigQueryExperience building dashboards in Power BI and LookerGood understanding of data lakes, data warehouses and core data conceptsAbility to turn complex data into clear insight for business stakeholdersConfidence working with large datasets and spotting patterns or trendsExperience supporting self-service analytics and improving access to dataSkilled at creating visualisations that make information easier to interpretExperience working across data, engineering or business teamsStrong problem-solving skills with a practical, detail-focused approachInterest in using AI to support and improve analytical deliveryMain ResponsibilitiesBuild clear dashboards and reports that support decision-making across the businessTurn business questions into structured analysis and useful insightWork with large datasets to identify patterns, trends and opportunitiesCreate visualisations and summaries that make data easier to understandAutomate data tasks where possible to reduce manual effortPartner with colleagues across teams to deliver analysis effectivelySupport the improvement of reporting, processes and analytical methodsMaintain accurate, secure and high-quality outputs throughout deliveryContribute to self-service analytics by making data more accessibleaa415a4b-8b21-40fc-a65c-70d2b25ca29a