Business Data Performance Analyst

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

The Business Data Performance Analyst will help support our fraud management projects. We are looking for an understanding of data analysis, data manipulation, and reporting. You are proficient in excel (can write advanced macros) and SQL, and able to transform raw data into applicable insights to guide decisions.

You will report to the Fraud Support Leader.

Main Responsibilities:

·       Analyze large datasets to identify trends, patterns, and anomalies related to fraud detection and prevention.

·       Maintain comprehensive reports and dashboards to monitor our performance and fraud metrics.

·       Use SQL to query databases and extract relevant data for analysis.

·       Use Excel to perform data manipulation, complex calculations, and create detailed visualizations.

·       Collaborate with teams to understand our requirements and translate them into data-driven solutions.

·       Help develop and implement data models, algorithms, and statistical methods to detect fraudulent activities.

·       Provide recommendations based on data analysis to support decision-making processes.

·       Ensure data integrity, accuracy, and security in all reporting activities.

·       Stay up to date with industry trends and best practices in data analysis and fraud management.

·       Bachelor’s degree in data science, Statistics, Computer Science, Finance, or a related field.

·       Experience as a Data Analyst within fraud management or a similar field.

·       Proficiency in Excel, including advanced functions, power query functions, and data visualization tools.

·       Proficiency in SQL for data extraction and analysis.

·       Experience with data visualization tools such as Tableau, Power BI, or similar.

·       Knowledge of systems capabilities, software platforms and processes.

·       Knowledge of database management principles.

·       Knowledge of PC office software and segmentation tools.

·       Excellent English, both oral and written communication skills.

Our benefits include: Medical, life and dental insurance, Asociación Solidarista, International Share Save Plan, Flex Work, Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

Our uniqueness is that we celebrate yours. Experian's culture and people are main differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.