Associate Analyst, Data Intelligence

An Associate Analyst, Data Intelligence at The Lacek Group plays a crucial role in developing targeted marketing campaigns while providing analytical and database support to drive revenue and ROI. This position is designed for those looking to grow their skills within the Data Services team through a structured development program.

To apply for the Associate Analyst, Data Intelligence role at The Lacek Group, you should have a BA/BS degree in Statistics, Applied Mathematics, Computer Science, Data Science, or a related analytical field. Previous experience in database marketing or data analysis is preferred.

Associate Analysts at The Lacek Group typically work with tools like SAS, SQL, R, and Microsoft Excel/PowerPoint. Familiarity with these technologies is preferred, and there are plenty of opportunities to gain proficiency during your training.

The Lacek Group offers a comprehensive on-the-job training program for Associate Analysts, including a mix of rotations between campaign operations and database analytics, as well as SQL self-study tutorials aimed at preparing you for technical certification.

The Lacek Group is committed to your professional growth, offering engaging development programs, on-the-job training, and the possibility for advanced positions after successfully completing the Associate Analyst role.

The company culture at The Lacek Group is characterized by collaboration, respect, and celebration. We value diverse perspectives, which fosters an innovative work environment, making it a great place for creative professionals to thrive.

While the Associate Analyst, Data Intelligence role is based in Minneapolis, Minnesota, The Lacek Group values flexibility and may consider remote work arrangements depending on team requirements and individual circumstances.

In your response, highlight any previous roles where you engaged with database marketing. Discuss specific campaigns you contributed to, the tools you used, and how your involvement impacted the overall success. Focus on quantifiable results to showcase your analytical skills.

Talk about your methodical approach to handling large datasets. You can mention the software you use, your familiarity with data cleaning processes, and how you ensure accuracy while deriving insights from data. Demonstrating your analytical mindset will be key here.

Outline the statistical methods you have utilized, such as regression analysis, hypothesis testing, or time series analysis. Provide examples of how you applied these methods to solve real-world problems, demonstrating your practical understanding.

Share a detailed scenario where you encountered a complex data challenge. Discuss the steps you took to solve it, focusing on your analytical skills, problem-solving approach, and the ultimate outcome of your efforts.

Discuss your level of proficiency in SQL, mentioning specific projects where you've utilized SQL effectively. Share details about the kind of queries you performed, the datasets you worked with, and the insights you derived from your analyses.

Your answer should reflect your enthusiasm for data intelligence and customer engagement. Discuss how The Lacek Group's values align with yours and how you envision contributing to their success through this role.

Explain your attention to detail by describing the processes you use to validate data, such as cross-referencing sources, conducting audits, and using software tools to check for discrepancies. Highlight the importance of accuracy in data-driven decision-making.

Share your experience with data visualization tools like Tableau, Power BI, or others. Highlight how using these tools has helped you present your findings effectively to stakeholders and drive business decisions.

Showcase your commitment to continuous learning by discussing how you follow industry news, partake in relevant webinars, or read articles and journals related to data analytics. Mention any communities or forums you are part of.

Discuss how collaborating with different teams enhances data analysis projects, emphasizing the importance of communication, utilizing diverse perspectives, and achieving shared goals. Cite examples from past experiences where teamwork led to successful outcomes.