Data Visualization Analyst - Brazil

The Data Visualization Analyst at World Business Lenders will focus on developing interactive dashboards and visual reports primarily using Power BI. Your responsibilities include translating business needs into actionable insights, ensuring data integrity through validation processes, streamlining data collection, and providing training on dashboard interpretation for non-technical stakeholders.

To apply for the Data Visualization Analyst role at World Business Lenders, you should possess a Bachelor’s degree in Business, Computer Science, or a related field, or have equivalent experience. Additionally, 2+ years of experience in data analytics, proficiency in SQL and Power BI, and strong verbal and written communication skills in English are required.

In your role as a Data Visualization Analyst at World Business Lenders, you will primarily utilize Power BI to develop and maintain interactive dashboards and reports. Familiarity with SQL is essential, and having experience with VBA can also be beneficial.

As a Data Visualization Analyst at World Business Lenders, you'll collaborate closely with various departments such as Marketing and Sales. Your focus will be on translating their unique business needs into actionable data insights, ensuring that your visualizations support strategic decisions across the organization.

Preferred skills for the Data Visualization Analyst at World Business Lenders include knowledge of data storytelling techniques, experience in automating reporting processes, and familiarity with financial or credit risk data, which can enhance the effectiveness of your visual reporting.

When developing a data visualization dashboard, I start by understanding the stakeholders' needs. I gather requirements and identify key metrics that are crucial for decision-making. Once I have a clear understanding, I use tools like Power BI to create prototypes and obtain feedback. Data integrity checks are essential throughout the process to ensure accuracy.

To ensure data accuracy, I implement thorough validation processes by cross-referencing data against reliable sources and applying necessary quality checks. Additionally, I collaborate closely with Data Engineers to resolve any discrepancies and maintain a standard of integrity throughout the data collection process.

I have over two years of experience using SQL for data extraction and manipulation of large datasets. In my previous roles, I utilized SQL to query databases, gather insights, and feed this data into my visualizations, ensuring that the information presented was both accurate and meaningful.

When I receive feedback from non-technical stakeholders, I approach it with an open mind, eager to understand their perspectives. I facilitate discussions to clarify their concerns, explain the reasoning behind my design choices, and make adjustments accordingly to enhance usability and effectiveness based on their input.

In my last project, I created a comprehensive sales dashboard that integrated multiple data sources. It became effective because I focused on user needs by providing an intuitive layout, highlighted key sales metrics clearly, and ensured real-time data updates, which facilitated timely decision-making for the sales team.

To streamline data visualization processes, I leverage automation tools to reduce manual data handling and create step-by-step templates for dashboard creation. I also maintain clear documentation on visualization best practices, which helps in training new team members and ensuring consistency across reports.

I am most comfortable using Power BI for construction and presentation of dashboards, along with Microsoft Excel for preliminary data analysis. I have also explored Tableau for specific projects, giving me a broad understanding of multiple visual analytics tools.

When presenting complex data to a non-technical audience, I focus on using simple visuals, avoiding jargon, and highlighting key insights over raw data. I present the data's implications in a relatable context that resonates with their experiences or questions they may have.

My approach to data storytelling involves framing data insights within a narrative that highlights key findings and explains their significance. This is important because it helps audiences understand the rationale behind the data, engage with the content more effectively, and drives informed decision-making.

I prioritize data requests from different departments by assessing the urgency, impact, and alignment with strategic goals. I often have collaborative discussions to understand which requests are most critical at the moment and establish a timeline that accommodates all teams as efficiently as possible.