Looking for a new role as a Xerxes Global in Bloomington, MN? This Internship position is perfect for professionals in the Capital Markets sector. Gain hands-on experience in the Business Development and Sales department, where you’ll be at the forefront of exciting projects and innovation.
Why This Job Is Great for You:
- Employee Rating: Rated 4.8/5 by employees — get a sense of the company culture!
- Job Level: This role is ideal for professionals at the Entry level Level Job.
- Posted: Posted 12 hours ago, this role is still accepting applications. Act fast and apply today!
This opportunity offers valuable experience in the Business Development and Sales department and will help you advance your career in the dynamic world of Capital Markets.
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“Xerxes Global” Company Job Details
- Company Name: Xerxes Global
- Work Type: Internship
- Rating: 4.8 / 5
- Location: Bloomington, MN
- Industry: Capital Markets
- Department: Business Development and Sales
- Experience Level: Entry level
- Job Creation Duration: 12 hours ago
Job Details of Analyst Intern
THE ROLE
Blue Ops is seeking an Analytics Intern to be an integral member of the Analytics Team and immersed in high-stakes projects, helping our clients make complex decisions through rigorous analysis and advanced data modeling. You won’t just be running queries; you’ll be learning to think like a consultant, investigating business problems, and helping to craft the data-driven narratives that guide executive strategy.
Throughout your internship, you’ll gain experience with investment banks, private equity firms and/or corporate clients while preparing and then analyzing business data to help facilitate buy-side transactions, prepare a business for sale,
Or Improve Corporate Performance. With That You Will
Your Impact & What You’ll Do
- Solve Real Client Problems: Go beyond the classroom to tackle genuine business challenges. You will gather and analyze data from diverse sources
- Develop Technical Solutions: Work alongside senior consultants to design and implement pragmatic data analytics solutions, transforming raw data (from databases, files, etc.) into powerful insights using tools like Power BI and Azure.
- Contribute to Project Delivery: Support the full lifecycle of analytics projects, from client discovery and data gathering to modeling and the final presentation of insights, helping to ensure project milestones are met.
- Learn Client Engagement: Gain invaluable exposure to client-facing work by shadowing senior team members, assisting in the preparation of client deliverables, and learning to translate complex findings for non-technical stakeholders.
- Drive Insights, Not Just Reports: Learn to use data analysis to develop hypotheses and formulate strategic recommendations, contributing directly to the high-value advisory services we provide.
What We’re Looking For (The Ideal Candidate Profile)
Skills
While technical skills are important, we prioritize a strong problem-solving mindset, a hunger for learning, and a collaborative spirit. We’re looking for someone who is:
- A Natural Problem-Solver: You are energized by ambiguity and enjoy breaking down complex, unstructured problems into manageable components to find a solution.
- Analytically Minded: You have a strong quantitative background and the ability to see the story behind the numbers.
- An Exceptional Communicator: You possess strong verbal and written communication skills and are capable of presenting ideas clearly and concisely.
- Detail-Oriented and Resilient: You have a high bar for quality in your own work and can adapt on the fly in a fast-paced, dynamic consulting environment.
- Intellectually Curious: You have a genuine passion for the intersection of data, finance, and technology, with an interest in investment banking, private equity, or corporate finance.
Your Qualifications
- Currently pursuing a Bachelor’s or Master’s degree in Finance, Economics, Computer Science, Data Science, or a related quantitative field.
- Demonstrated interest in data analysis and problem-solving through coursework, projects, or previous experience.
- Familiarity with data manipulation and analysis tools; academic or project experience with SQL, Python, or R is a strong plus.
- Exposure to data visualization tools like Power BI or Tableau is highly desirable.
- Proficiency in Microsoft Excel is required.