Junior Data Analyst - job 1 of 3

As a Junior Data Analyst at Experian, you will be responsible for working within a Data Scrum team, completing ETL processes, performing data audits, and ensuring data quality. You'll support system maintenance, assist in developing automated solutions, and work closely with different experts to deliver accurate data insights.

To apply for the Junior Data Analyst position at Experian, you should have a background in database technologies, basic programming skills, and proficiency in MS Excel. Familiarity with SQL and Python, alongside excellent numeracy skills and data managing abilities, is highly beneficial.

At Experian, the work environment is supportive and collaborative, with a strong team spirit and friendly culture. You will enjoy excellent working conditions, including opportunities for personal development and a social benefit package that ensures a healthy work-life balance.

Absolutely! Experian offers a structured career pathway for Junior Data Analysts, supported by various learning and development programs. You will have unlimited access to training courses and materials to enhance your skills and grow professionally.

Junior Data Analysts at Experian benefit from a comprehensive social package that includes life insurance, additional health benefits, food vouchers, and monthly flex allowances. You will also enjoy paid vacation days, birthday time off, and opportunities for flexible working arrangements.

To ensure data quality during the ETL process, I follow a structured approach that includes validating the data before extraction, carefully transforming it according to set standards, and performing rigorous checks at the loading stage. Implementing automated quality checks can also enhance accuracy and efficiency.

Certainly! I have hands-on experience writing SQL queries to retrieve, manipulate, and analyze data stored in relational databases. I'm familiar with functions, joins, and subqueries, which I apply to optimize data retrieval and ensure the integrity of the results.

I am proficient in Python, which I have used for data manipulation and analysis. I have written scripts to automate data extraction processes and used libraries such as Pandas and NumPy to analyze datasets efficiently, ensuring timely and accurate reporting.

I believe documentation is crucial for clarity and future reference. When documenting data processes, I maintain detailed notes on data sources, transformation logic, and validation steps. I ensure my documentation is clear, concise, and accessible to team members for ease of understanding.

In a previous role, I noticed a discrepancy in the sales figures reported in our data warehouse. I isolated the source of the issue, communicated it to my supervisor, and collaborated with my team to rectify the error by tracing back to the original data input, ensuring corrective measures were put in place.

I prioritize tasks based on deadlines and the impact of the projects on overall business objectives. I typically use tools to manage my workload and regularly check in with team members to ensure alignment on priorities and adjust quickly as project demands evolve.

I have experience using data visualization tools such as Tableau and Power BI. I have created dashboards that visually represent critical data metrics, making it easier for stakeholders to interpret trends and make informed decisions based on data insights.

I actively participate in online courses, webinars, and industry conferences. Additionally, I follow reputable data analysis blogs and engage with professional communities online to stay informed about emerging trends and best practices in the field.

I thrive in a team environment. I appreciate the collaborative dynamic where ideas and feedback freely flow. In my previous roles, I contributed effectively to team discussions, supported colleagues in their tasks, and ensured open lines of communication to achieve common goals.

I am drawn to Experian because of its reputation as a leader in data and technology, and I genuinely appreciate its commitment to innovation and diversity in the workplace. I believe that working in such an environment will allow me to develop my analytical skills while contributing to impactful projects that make a difference.