DIS Business Intelligence / Data Analyst, Senior - job 1 of 2

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 realize 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 DIS Product Developer Expert will consult with important partners to identify needs and opportunities to develop improved data accuracy tools including reports, dashboards, and delivery. The DM Specialist Expert will translate our needs into analytics requirements, build and test data accuracy products that help Experian's data furnishers maintain the quality of their reported data.

Main Responsibilities

• Analyze, designs, develops, codes and implements programs in Python and other programming languages, for a specific assigned software system or systems. These may include PC or Web development tools.
• Identifies and resolves application, database software, and programming problems
• Support integrated applications with an understanding of system integration, test planning, scripting, and troubleshooting.
• Translate our needs and requirements into clear data analytics reports.
• Responsible for key strategic client projects and always delivers the product on time
• Ensure the data is available, retrieving the data from a various data source, ordering the data in a visual and structured manner, and delivering the product on time.

• Bachelor´s degree in computer science or equivalent experience
• 6+ years of experience
• Proficient in Python
• Knowledge of SQL language and concepts of database (DB2 and MySQL are mandatory).
• Knowledge of ETL processes, data warehouse or analytical tools for business purposes (Tableau, Alteryx)
• Experience with AWS services (e.g., Athena, Glue, SageMaker, etc.)
• Knowledge of C#, Java, or equivalent programming languages
• Ability to creatively work through several system constraints and create holistic dashboards/reports based on data from diverse sources.
• Critical thinking with the ability to identify and relate business problems to data quality issues and vice versa.

Our benefits include: Medical, life and dental insurance, Asociacion 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 important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward and 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.

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