Data Analyst- Epay

The Data Analyst position at GHX involves collaborating with various teams to drive customer satisfaction through data analyses and optimization of the ePay function. You'll review data for accuracy, conduct supplier verifications, and build spend analysis segmentations. Additionally, you'll gather business requirements to create insightful reporting, thereby enhancing visibility into ePay products.

For the Data Analyst role at GHX, a Bachelor's degree and at least 2 years of experience in fields like Financial Services, Payments, or FinTech are required. Candidates must possess intermediate to advanced skills in Excel and have experience with data visualization tools such as Tableau. Familiarity with CRM systems and a basic understanding of automation tools will also bolster your application.

The Data Analyst at GHX contributes to revenue growth by analyzing data to identify and size opportunities for prospective customers, ultimately enhancing participation in the ePay network. By collaborating with sales and development teams, the analyst helps formulate and execute customer-centric strategies that translate data insights into actionable plans for increasing revenue.

A successful Data Analyst at GHX should have strong analytical and planning skills, the ability to clean and prepare disparate datasets, and exceptional organizational abilities. Furthermore, soft skills such as self-awareness, effective communication, and the ability to navigate ambiguity are crucial for collaborating with stakeholders and driving projects to completion.

As a Data Analyst at GHX, you will leverage various tools including Tableau and Excel for data visualization and reporting. You'll also work with CRM systems, automation tools, and possibly some coding in SQL or Python to handle data effectively, streamlining tasks and providing insightful analytics.

When asked about data visualization tools, highlight your familiarity with tools like Tableau or Power BI. Share specific examples of how you've used these tools to turn complex data into clear, visual insights that influenced business decisions.

Discuss the steps you take to validate data sources, check for consistency, and cross-reference data sets. Explain your methods for identifying discrepancies and any tools you use to maintain quality, showcasing your attention to detail and critical thinking.

Provide a concrete example of a past analysis that led to actionable recommendations. Talk about the data sources you analyzed, the insights you uncovered, and how those insights were communicated and implemented within your company.

Share techniques you use for prioritization and time management. Talk about a past experience where you successfully navigated multiple projects, ensuring that all stakeholders' needs were met without compromising on quality.

Discuss your proficiency with Excel, mentioning specific functions like VLOOKUP, pivot tables, and advanced formulas. Provide examples of how these skills have allowed you to analyze data effectively and generate valuable reports.

Explain your approach to report building, focusing on clarity and accessibility. Discuss how you would tailor the language and visuals for a non-technical audience, ensuring they understand the implications of your findings.

Highlight the importance of automation in enhancing efficiency and accuracy in data processes. Provide examples of tools or scripts you've used to automate repetitive tasks, emphasizing the time savings and improved outputs.

Discuss the significance of clear communication and relationship-building when working within teams. Illustrate with an instance where your collaborative effort led to a successful project, emphasizing mutual respect and collective problem-solving.

Share the details of a particularly complex project, including the challenges faced and how you overcame them. Focus on your analytical approach and the techniques you employed to reach a successful conclusion.

Mention specific sources such as industry blogs, forums, webinars, and courses you follow. Discuss how continuous learning contributes to better performance in your role, demonstrating your commitment to professional development.