Experian
data and technology
AssistantAnalyticsEngineer
Neural analysis suggests this role is
optimal for entry candidates.
“Assistant Analytics Engineer at Experian. Skills: SQL, ETL/ELT pipelines, data analysis. Run daily ETL/ELT pipelines. Troubleshoot data pipeline issues”
Industry & Context.
problem-solving mindset
What They're Looking For.
Must Have
Bachelor's degree in computer science, Mathematics, Statistics, related quantitative field, Good written and verbal communication skills in English, Practical knowledge of SQL, Scala, PySpark, willingness to learn cloud-based data tools, Knowledge of GitHub, Bitbucket, Familiarity with data analysis, data pipelines from coursework, internships, projects, problem-solving mindset, eagerness to learn new technologies, Exposure to BI/analytics tools such as Tableau, Power BI, Experience working on group projects, agile environments, internships
What You'll Do.
Run daily ETL/ELT pipelines
Troubleshoot data pipeline issues
Support data processing jobs
Perform data validations
Maintain data documentation
Support governance processes
Learn data warehouse infrastructure
Contribute to improvements
Maintain Scala scripts
Perform simple ETL tasks
Work with reporting/analytics team
Resolve validation queries
Perform data investigations
Contribute to agreement on data solutions
Support proof-of-concept projects
Learn data architecture
Help evolve data architecture
How You'll Work.
Team & Collaboration
Work with the reporting/analytics team; Learn and contribute to agreement on data solutions across teams
Communication Scope
Good written and verbal communication skills in English
Full Job Description
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, deliver digital 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 realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 23,300 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at [experianplc.com](https://www.experianplc.com/). What you will do: * Help run daily ETL/ELT pipelines using SQL and cloud tools (e.g., AWS, SQL Server, Athena) * Help troubleshoot data pipeline issues (e.g., job errors, missing data, or log checks). * Support scheduled and ad-hoc data processing jobs, ensuring data is processed correctly. * Handle regular data imports, validations, and quality checks for datasets. * Help maintain data documentation and supporting governance processes. * Learn to work with data warehouse infrastructure and contribute to improvements. * Support maintaining SQL and Scala scripts, queries, and simple ETL tasks. * Work with the reporting/analytics team to ensure underlying data is accurate and up to date. * Resolve validation queries and perform data investigations * Learn and contribute to agreement on data solutions across teams. * Contribute ideas and support proof-of-concept projects and new tools. * Learn and help evolve the data architecture for analytics, automation, and scalability. You will report into the Analytics Engineer Manager. ## Qualifications W
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