Want to get hired at Crossing Hurdles?

Data Analyst

Crossing Hurdles

HybridHybrid

Original Job Summary

About Data Analyst Role

Crossing Hurdles is a recruitment firm referring top candidates to leading AI research labs. The Data Analyst role involves building and training cutting-edge AI models by analyzing large structured datasets.

Role Responsibilities

  • Analyze large structured datasets provided by partner organizations.
  • Design reasoning-based analytics questions requiring multi-step problem-solving.
  • Write and validate Snowflake SQL queries using tools like DuckDB, pandas, or Python notebooks.
  • Produce human-readable explanations that articulate analytical insights.
  • Format deliverables into structured JSON outputs including question, query, and answer components.
  • Collaborate with peers and incorporate feedback to ensure quality and consistency.

Ideal Qualifications

  • Strong experience in data analytics, data science, or a related quantitative field.
  • Proficiency in SQL and Python with preferred experience in DuckDB or pandas.
  • Excellent skills in data exploration, statistical reasoning, and business intelligence.
  • Experience with analytical tools like iPython, Jupyter Notebooks, and GitHub.
  • Excellent written communication skills with ability to explain complex reasoning clearly.
  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or related discipline; advanced degree preferred.

Application Process

  • Upload your resume.
  • Participate in an AI-based interview (15 min) based on your resume.
  • Submit the required application form.

Key skills/competency

Data Analytics, Data Science, SQL, Python, DuckDB, pandas, Snowflake, AI, Jupyter, Communication

How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Research Crossing Hurdles culture: Learn their mission and partner collaborations.
  • Customize your resume: Highlight data analytics and SQL expertise.
  • Showcase analytical projects: Provide clear examples in your portfolio.
  • Prepare for AI interview: Review your resume and analytical scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization techniques.
Practice Python data manipulation libraries.
Work on projects using DuckDB and pandas.
Familiarize with Snowflake and Jupyter Notebook.

Behavioral Questions

Describe a challenge you solved analytically.
Explain a time you worked in a team.
Discuss handling deadlines under pressure.
Share insights from past data projects.