Senior Data 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 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

Experian is seeking an Engineering Analyst to join our Marketplace Decision Optimization team. This is a unique opportunity to be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. As an Engineering Analyst you will work directly with team members to ensure data reliability as well as testing

Experian is seeking an Engineering Analyst to join our Marketplace Decision Optimization team. This is a unique opportunity to be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. As an Engineering Analyst, you will work directly with team members to ensure data reliability, test and enhance offer ranking and display optimization algorithms, and bridge the gap between data engineering and reporting/modeling.

Key Responsibilities:

· Learn and understand the structure of our Snowflake database and its relationship to our product environment.

· Utilize SQL knowledge to analyze and solve complex problems.

· Develop and maintain scripts using Python to automate data processes and enhance data manipulation.

· Interpret and dig into data to uncover insights and support decision-making.

· Communicate effectively within a team environment, collaborating with data engineers, analysts, and other stakeholders.

· Demonstrate ownership and responsibility for individual projects, taking tasks with limited explanation and completing them with minimal supervision.

· Innovate and contribute new ideas to improve business processes and optimize algorithms.

· Bachelor's degree in Statistics, Math, Engineering, or a related quantitative discipline from an accredited college or university.

· Strong knowledge of Python and SQL.

· Experience working with large datasets and cloud-based platforms, particularly Snowflake.

· Analytical problem-solving skills, with the ability to interpret and dig into data.

· Effective communication skills within a team setting, capable of bridging the gap between data engineering and reporting/modeling.

· Ability to take ownership of projects and drive them to completion with minimal supervision.

· Curiosity and a willingness to innovate.

Additional Preferred Experience:

· Experience with scripting and automation using Python.

· Experience working within Snowflake and understanding its data structures.

· Familiarity with data manipulation and ETL processes.

· Understanding of databases and data reliability.

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, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 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 an important 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.