EnDyna is hiring: Research Data Analyst in McLean

EnDyna is a dynamic and innovative government contractor specializing in environmental solutions. As a small but growing company, we are dedicated to making a positive impact on the environment through our projects and initiatives. We work closely with government agencies and organizations to address environmental challenges and contribute to sustainable solutions.

Position Overview:

The Research Data Analyst will be responsible for collecting, analyzing, and managing data to support various research initiatives. This position involves working closely with cross-functional teams to ensure data accuracy and relevance, creating reports, dashboards, and visualizations that inform key business decisions. The ideal candidate will have a strong background in data analysis, proficiency with data tools, and experience with project management platforms like SmartSheets and Monday.com.

Key Responsibilities:

• Data Collection & ETL Processes:
  Perform Extract, Transform, and Load (ETL) processes to gather data from multiple sources, ensuring accuracy, consistency, and quality. Clean, organize, and prepare data for analysis.
• Data Analysis:
  Analyze large datasets to identify trends, patterns, and insights that support research objectives and business goals. Apply statistical methods where applicable.
• Data Visualization:
  Create dynamic and interactive data visualizations using tools like Tableau, Power BI, or similar platforms to communicate findings clearly and effectively to stakeholders.
• Report Generation:
  Develop comprehensive reports that summarize key findings, recommendations, and actionable insights based on the data analysis. Tailor reports for different audiences, including executives and project teams.
• Project Management Tools:
  Use SmartSheets and Monday.com to manage and track research projects, ensuring timelines, deliverables, and workflows are well-coordinated across teams.
• Cross-functional Collaboration:
  Work closely with data scientists, researchers, and other stakeholders to understand data requirements and ensure the integrity of data used in decision-making.
• Data Quality Assurance:
  Conduct regular audits of data sources and processes to ensure data accuracy and consistency. Identify any discrepancies and work to resolve them efficiently.
• Ad Hoc Analysis:
  Provide on-demand data analysis for special projects, research initiatives, or business inquiries, offering insights that drive decision-making.

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (Master’s preferred).
• 3+ years of experience in data analysis, with a focus on ETL processes and data visualization.
• Proficiency with data analysis tools such as SQL, Python, or R, and experience with ETL tools like Alteryx, Talend, or Apache NiFi.
• Expertise in data visualization tools such as Tableau, Power BI, or similar platforms.
• Experience with project management and collaboration tools like SmartSheets and Monday.com.
• Strong understanding of data quality management and the ability to identify, troubleshoot, and resolve data-related issues.
• Excellent communication skills, with the ability to present data insights clearly to non-technical stakeholders.
• Attention to detail and strong problem-solving skills.
• Familiarity with cloud data platforms (AWS, Azure, Google Cloud) is a plus.

EnDyna’s benefits include 401k retirement plans, paid time off, health insurance, dental insurance, vision insurance, life insurance, long term disability, short term disability.

It is EnDyna’s policy to promote equal employment opportunities. All qualified applicants will receive consideration for employment without regard to sex, race, color, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.