Data Analyst
@ Crossing Hurdles

Hybrid
$208,000
Hybrid
Contractor
Posted 1 day ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @crossinghurdles.com
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Job Details

About the Role

The Data Analyst position at Crossing Hurdles is a remote, hourly contract role focused on utilizing data analytics skills to support AI model development. The role involves analyzing large structured datasets, writing and validating SQL queries using tools such as Snowflake, DuckDB, pandas, and Python notebooks, and producing clear, human-readable explanations along with structured JSON deliverables.

Key Responsibilities

  • Analyze large structured datasets provided by partner organizations.
  • Design multi-step analytical questions for AI model development.
  • Write and validate SQL queries using Snowflake, DuckDB, pandas, and Python.
  • Produce clear, human-readable explanations and structured JSON outputs.
  • Collaborate with peers and incorporate feedback for consistency and quality.

Ideal Qualifications

  • Strong experience in data analytics/data science or a related field.
  • Proficiency in SQL, Python, and experience with DuckDB or pandas.
  • Experience with iPython, Jupyter Notebooks, and GitHub.
  • Excellent written communication skills for explaining complex reasoning.
  • Bachelor's degree in Computer Science, Statistics, Mathematics or related field (advanced degree preferred).

Application Process

Upload your resume, complete a 15-minute AI interview based on your resume, and submit a form to apply for the position.

Key skills/competency

  • Data Analytics
  • SQL
  • Python
  • DuckDB
  • Pandas
  • Data Exploration
  • Statistical Reasoning
  • Jupyter
  • JSON
  • Collaboration
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How to Get Hired at Crossing Hurdles

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant analytics and SQL experience.
  • Showcase technical projects: Include data analytics and Python work.
  • Research Crossing Hurdles: Understand their referral process and culture.
  • Prepare for AI interviews: Brush up on SQL and data reasoning skills.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query writing and optimization.
Practice Python notebooks and data libraries.
Familiarize with Snowflake and DuckDB functions.
Study JSON formatting for data output.

Behavioral Questions

Describe a time you solved a data problem.
Explain your approach to teamwork in analytics.
Discuss handling project feedback and revisions.
Share an experience managing tight deadlines.

Frequently Asked Questions