VBA Data Analyst- Real Estate - job 2 of 2

As a VBA Data Analyst at Turner & Townsend, your primary responsibilities will include data analysis, coding, and providing technical support for Real Estate projects. You will be tasked with reviewing, compiling, interpreting, and visualizing data sets, as well as creating dashboards and analytical visualizations that reflect program performance. Your role will also involve collaborating with team members, adapting to new challenges, and improving analysis and modeling capabilities.

To be successful in the VBA Data Analyst role at Turner & Townsend, candidates should possess 2-5 years of post-graduate experience in Data Administration or a related field. Proficiency in VBA, SQL, and Excel is mandatory, along with strong data visualization skills, preferably in Tableau or Power BI. Experience in the real estate or construction sectors is advantageous, and candidates must be located in Tampa, FL.

Data visualization is a crucial aspect of the VBA Data Analyst role at Turner & Townsend. You will be expected to utilize tools like Tableau and Power BI to create meaningful visual representations of complex datasets. This helps in articulating insights and communicating project performance effectively to stakeholders, ensuring informed decision-making across our Real Estate projects.

A VBA Data Analyst at Turner & Townsend should be well-versed in software tools such as Excel for modeling, VBA for coding, and SQL for database management. Additionally, familiarity with data visualization tools like Tableau and Power BI will be essential for presenting analytical findings and performance metrics clearly and effectively.

Turner & Townsend promotes an inclusive, dynamic, and client-focused culture. As a VBA Data Analyst, you will find an environment that encourages collaboration, innovation, and open communication. We believe in nurturing our talent and providing a fun workplace where ideas are celebrated, all while ensuring a healthy work-life balance.

When discussing your experience with VBA, highlight specific projects where you used it to automate tasks or analyze data. Talk about the complexity of the problems you solved and the impact your VBA applications had on team efficiency or data accuracy.

In your response, discuss your philosophy regarding data visualization—emphasize clarity, accuracy, and storytelling. Mention specific tools like Tableau or Power BI, and give examples of projects where you've utilized these tools to communicate findings effectively.

Choose an example that demonstrates your analytical thinking and problem-solving skills. Describe the data, the challenge, the specific steps you took to analyze it, and the ultimate solution you provided, along with the results.

Talk about your systematic approach to data quality, including validation checks, cross-referencing data sources, and using SQL queries to clean and validate data. Share an example that illustrates your ability to spot errors and ensure data integrity.

Explain your prioritization strategy, such as assessing the impact and urgency of projects, communicating with stakeholders, and setting milestones. This shows your organizational skills and ability to deliver under pressure.

Discuss your familiarity with relational databases, emphasizing any direct experience you have had in managing, querying, or performing data analysis in these systems. Provide examples to demonstrate your technical competency.

Share your methods for keeping up-to-date, such as following industry blogs, participating in webinars, or engaging with professional communities. Highlight any certifications you may have or courses you're currently pursuing.

Discuss the collaborative nature of data analysis and how effective teamwork can lead to better insights and solutions. Share examples where collaboration with colleagues or stakeholders led to successful outcomes.

Outline your structured approach to data analysis, including defining objectives, data collection, data cleaning, analysis, visualization, and presentation of results. This demonstrates your methodical and comprehensive thought process.

Give specific examples of advanced Excel functions you have used, such as VLOOKUP, pivot tables, or macro functions. Describe scenarios where Excel significantly enabled your data analysis efforts and how it contributed to project success.