Got it! Searching for part-time data internships in Latham, NY, within financial services or data analytics, for candidates enrolled in a data science program, with skills in Excel and Python. I've found 12 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Intern role at GP Fund Solutions (GPFS) is fundamentally aimed at providing hands-on experience in data management and financial analysis within a collaborative environment tailored for those aspiring to enter the finance and data science fields. Interns will support their data team through tasks such as cleansing and preparing complex datasets, conducting exploratory data analysis, and maintaining reporting structures. This suggests that a candidate must not only possess technical skills in data manipulation and emerging technologies like SQL and Python but must also demonstrate a commitment to quality and attention to detail, indicating a strong desire to learn in a structured, team-oriented setting. Success in this role will require more than just technical proficiency; the intern will need to develop soft skills to effectively communicate findings and work well with mentors and team members. In the initial months, achieving familiarity with the data environment, establishing rapport with teammates, and contributing to process improvements will be critical indicators of success.

Company Analysis:

GPFS operates within the financial service industry, positioned as a leading fund administrator for diverse clients across the US, UK, and EU. This status not only points to its reliability and reputation but also implies a culture centered on quality, integrity, and innovation. The company values its people highly, fostering an inclusive and supportive work environment that emphasizes camaraderie, excellence, and empowerment. For an intern, this structure is significant since it reflects the expectation to engage actively with a culture that prizes open communication and innovative thinking. The role falls within a team-driven framework, offering exposure to experienced professionals and significant daily interaction, which is vital for personal and professional growth. GPFS’s focus on technology and data analytics indicates a strategic move toward leveraging intelligent solutions, meaning the intern will contribute to this mission. This intern position not only focuses on immediate tasks but also aligns with GPFS’s broader goal of nurturing relationships and enhancing operational efficiencies in service of client success.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you worked on a group project in school. How did you ensure that you contributed effectively to the team's goals?
• Can you describe a situation where you had to analyze a large dataset? What tools did you use, and what was the outcome?
• Describe a time when you faced a complex problem while working on an academic project. How did you approach it and what did you learn from the experience?
• How do you prioritize your tasks when you have multiple deadlines approaching? Can you give an example?
• How would you approach the task of cleansing and preparing a complex dataset for analysis?
• If you were tasked with improving a reporting process at GPFS, what steps would you take to evaluate the current system?
• What methods would you use to conduct exploratory data analysis on unfamiliar data?
• Imagine you are faced with conflicting priorities from team members. How would you handle this situation?
• Why are you interested in the Data Intern position at GP Fund Solutions specifically?
• How do you think your skills align with GPFS's core values of innovation and empowerment?
• What do you understand about the role of technology in fund administration, and how do you see it impacting your work as an intern?
• What factors do you consider most important when creating effective team dynamics?
• What questions do you have about GP Fund Solutions and its culture?
• How do you see this internship fitting into your long-term career goals in data science or finance?