Dialectica
Data Analyst Intern
Job Description
About Dialectica
Dialectica is the global leader in insights on-demand. We enable investment and business professionals to access untapped markets, competitive & customer insights powered by the world’s hardest-to-find experts, and cutting-edge technology. Our team of +1,000 professionals in 5 offices spanning 3 continents, works with top-tier investment funds, management consulting firms, and Fortune 500 companies around the globe.
Driven by our mission to achieve unparalleled customer recognition, we are developing the most trusted and innovative knowledge-sharing platform in the world. Dialectica has been recognized as one of Europe’s fastest-growing companies by the Financial Times for 4 years in a row, a Top Employer for Recent Graduates by The Career Directory in Canada and a Best Workplace.
We are looking for a highly resourceful and self-motivated Data Analyst Intern to join our team in developing data services for creating origination reports tailored to Private Equity (PE) clients. The intern will support various data enrichment tasks using Large Language Models (LLMs) and in-house databases, under the Data Product and Business Operations teams. This role offers a valuable learning experience and practical application of academic knowledge.
Requirements
Key Responsibilities
Data Enrichment Support
- Assist in data enrichment activities using LLMs and data from our databases.
- Support the improvement of quality and speed of data enrichment processes.
Automation and Process Improvement
- Automate repetitive tasks in the enrichment process using Python to accelerate data facilitation to the operations team.
- Generate reports on different types of processes for daily operations.
Tool Utilization and Workflow Management
- Familiarize with workflows and no-code tools to streamline data processes.
- Postgres tool to run queries to retrieve data from our databases
- Google and Microsoft apps to manage datasets
Requirements
- Currently pursuing or holding a degree in Data Science, Statistics, Computer Science, Economics, or a related field, or relevant certificates in data analysis.
- Proficiency in SQL and Python, with experience in matching and enriching datasets using Excel and Google Sheets. Familiarity with LLMs is a plus.
- Demonstrated practical application of knowledge through personal projects on GitHub or similar platforms is a plus.
- Strong problem-solving skills, attention to detail, and good written and verbal communication skills.
- Resourceful, self-motivated, and a quick learner, with the ability to independently seek out solutions and learn new tools and techniques.
Benefits
- Competitive base salary
- Coverage under the company’s collective health insurance plan
- Learning and development opportunities (e.g. onboarding, on-the-job training, Udemy courses and many others!)
- Hybrid or remote work model & extra personal/flex days and paid volunteer days a year for your favorite cause
- Company sponsored team-bonding events
- Weekly health & wellness activities (e.g. basketball, football, yoga, running), gym discounts, healthy breakfast, snacks and beverages
- Entrepreneurial culture and amazing coworkers!
