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Data Analyst

Donnelly and Moore

Data Analyst - SAS / SQL

Location: New York City, NY
Work Arrangement: Hybrid - 2-3 days onsite per week
Duration: Contract
Experience: 5+ years

Job Summary

We are seeking a Data Analyst with strong SAS and SQL experience to support data analysis and reporting initiatives involving electric vehicle (EV) data.

The ideal candidate will have strong analytical and problem-solving skills and experience working with large, complex datasets. This position will involve extracting, transforming, analyzing, and interpreting data to identify trends and patterns that can support diagnostic and predictive analytics.

Responsibilities
  • Design, maintain, and analyze complex datasets.
  • Extract and mine data from primary and secondary sources.
  • Clean, transform, and reorganize data for analysis and reporting.
  • Identify trends, patterns, and anomalies within large datasets.
  • Support diagnostic and predictive analytics initiatives.
  • Develop and optimize complex SQL queries.
  • Perform data validation and troubleshoot data-quality issues.
  • Identify and correct coding and data-related errors.
  • Develop reports and data visualizations to communicate findings.
  • Collaborate with business and technical teams to understand data requirements.
  • Present analytical findings and technical concepts to non-technical stakeholders.
  • Support ongoing data-quality and process-improvement initiatives.
Required Qualifications
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field .
  • 5+ years of professional data analysis experience.
  • Advanced SQL , including complex joins, window functions, and query optimization.
  • Strong SAS programming experience.
  • Experience with SAS Macro development and PROC SQL .
  • Experience analyzing large and complex datasets.
  • Experience with data visualization and reporting tools.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent written and verbal communication skills.
  • Ability to explain technical data concepts to non-technical audiences.
Preferred Qualifications
  • Experience with EV / electric vehicle data or transportation-related datasets.
  • Experience with Python or other programming languages.
  • Experience supporting predictive or diagnostic analytics.
  • Experience working in an Agile/Scrum environment.
  • Experience with cloud-based data environments.

Core Skills

SAS | SQL | PROC SQL | SAS Macros | Data Analysis | Data Mining | Data Quality | Statistical Analysis | Data Visualization | Predictive Analytics | Business Data Analysis

#IND1
Vacancy posted 3 days ago
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