Portfolio Analytics and Operational Intelligence Intern

To excel as a Portfolio Analytics and Operational Intelligence Intern at Recursion, candidates should possess a solid foundation in data analytics, dashboarding, statistics, and automation workflows. Additionally, strong programming skills in Python and familiarity with analytics tools like Tableau, Power BI, or Looker are essential. A collaborative spirit and the curiosity to explore open-ended questions will also help you shine in this role.

As a Portfolio Analytics and Operational Intelligence Intern at Recursion, you can expect to engage in various projects that involve enhancing existing analytics dashboards, automating critical business processes, and extracting insights to inform strategic decisions. You will work closely with cross-functional teams to ensure that your contributions directly impact business outcomes.

Recursion places a strong emphasis on mentorship, especially for the Portfolio Analytics and Operational Intelligence Interns. You will have access to an assigned mentor who will offer regular guidance and feedback throughout your internship. Additionally, you'll be part of a supportive team that fosters learning and development, helping you enhance your skills and gain valuable insights into the industry.

While prior experience in operational intelligence can be beneficial, it is not strictly necessary for the Portfolio Analytics and Operational Intelligence Intern position at Recursion. The desired qualifications focus more on your enthusiasm for data analytics, problem-solving abilities, and collaborative mindset rather than extensive prior experience.

Portfolio Analytics and Operational Intelligence Interns at Recursion enjoy a range of unique benefits, including a full-time paid internship, complimentary housing for those relocating, delicious chef-prepared meals, and planned social and networking activities. Additionally, you'll participate in an end-of-internship presentation event, showcasing your work to the broader company, which is a fantastic opportunity for professional exposure.

When responding to this question, offer a clear example that highlights your analytical process. Showcase your ability to define the problem, the data you analyzed, tools you used, such as Python or Tableau, and the outcome of your analysis. Make sure to emphasize the impact of your findings on decision-making.

Start by conducting stakeholder interviews to understand their needs and the key metrics they want to track. Explain that you'd analyze the existing data, choose visualizations that represent the data effectively, and iterate based on feedback. This demonstrates your collaborative and user-focused mindset.

Be honest about your experience level with Python. Share specific projects or coursework where you utilized Python for data manipulation or analysis. If you're less experienced, discuss your eagerness to learn and any relevant resources you're currently using to enhance your skills.

Discuss your passion for using data to make informed business decisions and solve real-world problems. Highlight how you value the intersection of technology and data in improving operations, and how this aligns with Recursion’s mission to leverage technology for meaningful impacts.

Explain that you prioritize tasks by assessing deadlines, project complexity, and stakeholder impact. Mention using tools to keep track of your progress, and emphasize your flexibility in adjusting priorities as needed. This showcases your organizational skills and adaptability.

Share a collaborative project experience where you worked with a diverse team. Focus on your communication strategies, how you facilitated brainstorming sessions, and the positive outcome achieved as a result of teamwork. This shows your capacity for collaboration.

Mention specific tools like Tableau, Power BI, or Looker, and any projects where you've utilized these tools effectively. If applicable, discuss your interest in learning new technologies that could be beneficial in an internship role, emphasizing your eagerness to expand your toolkit.

Discuss how you regularly read industry blogs, attend webinars, or participate in online courses related to data analytics and operational intelligence. Emphasize the importance of continuous learning in keeping your skills current and relevant.

Express your desire to gain hands-on experience with data analytics tools, improve your problem-solving skills, and enrich your understanding of operational intelligence in a real-world setting. Highlight your excitement about learning from experienced professionals and contributing to meaningful projects.

Explain that you view constructive feedback as a vital part of growth. Share your commitment to actively seeking feedback and using it to improve your skills and contributions. This conveys your receptiveness and commitment to personal development.