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Business Intelligence & Data Engineering Analyst - FTC

Business Intelligence & Data Engineering Analyst - FTCFull-timeEmployee Status: RegularRole Type: HybridDepartment: TechnologySchedule: Full TimeCompany DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.Job DescriptionWe are seeking a juniorBusiness Intelligence & Data Engineering Analyst on a 12 month FTCto support the development of dashboards, data pipelines, and analytics solutions.You will work with Power BI, Python, SQL, and AWS while partnering with business and technical team members to turn data into meaningful insights.This is a Hybrid, Nottingham based role (40% in the office) reporting to the Vice President for Enterprise AI ProgramsWhat You'll Work OnPower BI & Data VisualizationAssist in building and enhancingPower BI dashboards and reportsCreate and modify DAX measures, calculated columns, and basic time-intelligence calculationsHelp develop data models using concepts such as star schemas and table relationshipsSupport dashboard performance, usability, and data-quality improvementsCreate clear visualizations that help business stakeholders understand trends, performance, and opportunitiesLearn how to design dashboards and analytics for senior and executive audiencesData Engineering & ETLDevelop and enhancePython-based data pipelineswith guidance from the teamConnect to REST APIs and work with JSON and other structured dataClean, transform, and validate datasets using Python libraries such as pandasHelp implement error handling, logging, and data-quality checksWrite clean, reusable, and well-documented Python codeLoad and manage structured data in relational databasesWrite SQL queries to retrieve, combine, and analyze dataData Modeling & MetricsHelp translate business questions into measurableKPIs and metricsSupport the design and validation of calculated metricsIdentify relationships across datasets and help integrate data from multiple sourcesPerform data-quality checks to ensure dashboards and analyses are accurateInvestigate discrepancies and help determine root causesWork with the team to turn loosely defined business questions into analytical approachesQualificationsDegree in Data Science, Computer Science, Information Systems, Business Analytics, Statistics, Engineering, or a related fieldSome programming skills in Python and SQLFamiliarity with data visualization or BI tools i.e. Power BI.Academic or personal projects creating dashboards, ETL pipelines, or data engineeringUnderstanding of basic data concepts such as tables, relationships, joins, aggregations, and data qualitySome technical skills in one or more of the following - REST APIs, JSON, MySQL, AWS, GITAdditional InformationBenefits package includes:Hybrid working - 40% office basedGreat compensation package and discretionary bonusCore benefits include Pension, Bupa healthcare, Sharesave Scheme and more25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave.Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.Recruitment Fraud Awareness- Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careersGrade: F/EB10#LI-hybridExperian Careers - Creating a better tomorrow togetherFind out what its like to work for Experian by clicking hereBy clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyJob LocationGoogle Maps requires functional cookies to be enabledI'm interestedI'm interestedPrivacy Notice

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