Data Analyst - Brazil

As a Data Analyst at World Business Lenders, your main responsibilities will encompass the intake, validation, and management of large datasets crucial for risk modeling and financial analysis. You'll ensure data integrity and accuracy while collaborating with econometric analysts and data engineers, managing the collection of data, and providing valuable insights for credit risk assessments and financial forecasts.

To qualify for the Data Analyst position at World Business Lenders, applicants should possess a Bachelor’s degree in Data Engineering, Finance, or a related field. Ideally, you should have at least 2 years of experience in data-related roles and be proficient in SQL, Power BI, and VBA. Exceptional written and verbal communication skills in English are also essential for effective collaboration across teams.

Yes, the Data Analyst position at World Business Lenders is entirely remote, allowing you to work from anywhere. This flexibility is part of our commitment to providing a supportive work environment where you can thrive professionally while maintaining a healthy work-life balance.

As a Data Analyst at World Business Lenders, you'll utilize tools such as SQL for database management, Power BI for data visualization, and VBA for automating tasks. Proficiency in Microsoft Office applications, including Outlook, Excel, Word, and PowerPoint, along with experience in Microsoft Teams, is also required to facilitate collaboration.

The typical work schedule for the Data Analyst position at World Business Lenders is Monday through Friday, from 9:00 am to 6:00 pm Eastern Time. However, flexibility in hours worked may be necessary based on operational requirements, ensuring you are available when the business needs you most.

In my previous role, I frequently utilized SQL to extract and manipulate large datasets, which were vital for accurate data analysis. I can efficiently write complex queries to gather insights, helping to support key financial decision-making processes.

Ensuring data accuracy involves a thorough validation process, including checking for duplicates and inconsistencies. I believe in establishing robust data management protocols that include regular audits and collaboration with other teams to confirm the reliability of the data being analyzed.

In my previous positions, I have often collaborated with econometric analysts and financial teams to translate raw datasets into actionable insights. I prioritize open communication and actively seek feedback, fostering a collaborative environment that enhances our overall productivity.

I prioritize tasks based on their urgency and impact on key projects. I keep an organized to-do list and set milestones for significant tasks. This systematic approach helps me manage time effectively while ensuring that all data-related responsibilities are addressed promptly.

In my last position, I led a project that focused on analyzing customer repayment behavior, which utilized SQL for data extraction and Power BI for visualization. The insights derived informed the risk management strategy and improved our forecasting accuracy significantly.

I am quite proficient in Power BI, having used it for several data visualization projects that required turning raw data into interactive dashboards, making it easier for stakeholders to understand trends and patterns for informed decision-making.

When troubleshooting data issues, I prioritize identifying the root cause, whether it be data entry errors or system glitches. From there, I implement corrective measures and communicate with my team to keep everyone informed of potential impacts on ongoing analysis.

I handle tight deadlines by staying organized and focused on the key objectives. I often break down larger tasks into smaller, manageable segments to mitigate stress and ensure steady progress, ultimately delivering high-quality reports on time.

For effective data validation, I adopt a combination of automated checks and manual reviews. Implementing validation rules and using data profiling techniques can help catch anomalies and ensure that the datasets I work with are accurate and high quality.

I am excited about the opportunity at World Business Lenders because of its commitment to supporting small and medium-sized businesses. I believe that my analytical skills can contribute significantly to your mission, and I am drawn to the benefits of a remote work environment that offers flexibility while fostering collaboration.