Delaware North- PRT 1

Question 1

Tell me about yourself.

Answer 1

20+ years experience spanning engineering, analytics, and business management

I have extensive experience in data analysis and business intelligence, primarily working with SQL, Tableau, Power BI, and ETL processes.

Working at ATT doing network analytics has given me hands-on experience in forecasting trends, predictive modeling, and creating dashboards for executive teams.

Running on my own small business and also at ATT, I learned about marketing segmentation, positioning and consumer behaviour.

I’m excited about this opportunity at Delaware North because it combines my skills in data analysis with the ability to provide valuable business insights for the hospitality and gaming industry.

Question 2

What do you know about Delaware North and this role?

Answer 2

Delaware North is a global leader in hospitality, gaming, and food service management, operating casinos, hotels, and entertainment venues.

I understand that this role using Business Integlligence analytcs using tools such SQL, Tableau, and data visualization to analyze customer behaviors and business performance trends.

Given my experience in data-driven decision-making and dashboard creation, I see my self as being a good fit for this role

Question 3

Can you walk me through your experience with SQL, Tableau, and data visualization?

Answer 3

At AT&T Mobility, I used SQL extensively to extract, clean, and analyze large datasets related to network performance, dropped calls, and customer experience.

I built Tableau dashboards that provided real-time insights for senior management, helping them understand key performance metrics and optimize network reliability.

Question 4

Have you worked on predictive modeling? How did you use it?

Answer 4

Yes! One of my key projects involved predicting network coverage demands for large stadium events,

working on a project to reduce churn due to network complaints

I analyzed historical data on network usage, call volumes, and congestion trends, cleaned and transformed the data, and fed it into predictive models to forecast future coverage needs.
This helped my team proactively optimize network performance, reducing outages and improving user experience.

I can apply similar predictive modeling techniques to analyze customer behaviors, revenue trends, and demand forecasting in the hospitality industry.

Question 5

How do you ensure data accuracy?

Answer 5

Data accuracy is very important, handling large datasets requires a combination of efficient ETL processes, SQL queries, and data validation techniques.

At AT&T Mobility, I worked with Azure Data Warehouses and ETL pipelines, where I extracted raw data, cleaned inconsistencies, removed duplicates, and standardized formats before loading it for analysis.

Question 6

How do you handle working with large, complex datasets?

Answer 6

My Process is to first:

Consider the ask or the problem.

identify where i will get my data from

Then I collect relevant data using Excel or SQL queries

Validating the data by cleaning it again using Excel or SQL

I visualize the data using tools like Excel or Tableau

I break down the data however I need to, and I analyze it to get my findings

I then interpret the data using visuaization toolss like Tableau or Power BI to answer the question or the problem.

I finish with analysis results and conclustion

Question 7

Have you worked with stakeholders or presented insights to executives?

Answer 7

Yes, I have extensive experience presenting data insights to executives.

At AT&T Mobility, I created executive dashboards in Power BI and Tableau to showcase network performance trends and key business metrics.

I also led bi-annual presentations on network optimization based on Global Wireless Solutions (GWS) drive test analysis. These presentations provided actionable recommendations that helped leadership improve coverage and reduce network congestion.

Question 8

Can you describe a time you solved a business problem using data?

Answer 8

At AT&T Mobility, we had a recurring issue with a report that we needed to work daily and our internal data reporting system was slow and often inaccurate

We analyzed the data and identified what metrics we needed to keep, strip, and add.

Using SQL queries, I was able to extract the information needed and transfer the data into simple Excel reports.

The result was we were able to reduce the amount of time to get the information from hours to minutes and thus increasing efficiency by 28%.

Question 9

Why are you interested in this role at Delaware North?

Answer 9

I am excited about this role because it allows me to apply my data analysis, predictive modeling, and business intelligence skills in the gaming and hospitality industry.

Delaware North’s focus on data-driven decision-making aligns with my expertise in turning complex data into meaningful insights that drive business growth.

I am eager to contribute by helping optimize customer engagement, revenue forecasting, and operational efficiency through advanced analytics.