Data Analyst

About the Role

Responsible for collecting, processing, and analyzing data to develop immersive stories that answer business questions. Using proven and sound statistical methods, the analyst draws insights from data, and translates those insights into action that drive business results. Apply mathematical and statistical methods to business and risk management problems.

Key Responsibilities

• Mine, process, and summarize data.
• Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions.
• Analyze large datasets, draw valid inferences, and prepare insights in narrative or visual forms, including dashboards.
• Set up and maintain data processes and new analytics capabilities.
• Produce and track key performance indicators.
• Formulate functional and technical requirements from business problems.

Requirements & Tech Stack

• Statistical methods: Descriptive/inferential stats, hypothesis testing, regression, and data interpretation.
• Data Management: Proficient with basic data management tools. Ability to clean, transform, and analyze medium-sized datasets.
• Querying: Strong writing of complex queries, joins, subqueries, and performance optimization (SQL).
• Data Presentation: Ability to decipher data and present to non-technical stakeholders. Translating technical findings into clear, actionable recommendations for non-technical stakeholders.
• Domain Knowledge: Understanding of missiles systems, aerospace, and flow of the product.

Qualifications

• Strong data literacy, interpreting, questioning, and clearly conveying findings to a variety of audiences.
• Creative problem-solving and analytical experience.
• Alteryx/ETL tool or similar.
• Tableau/Power BI or other data visualization software.
• SAP.
• Databricks.
• SQL/Python/R or other coding languages.
• Visual Studio Code or similar.
• Artificial Intelligence.
• Machine Learning.
• Advanced Microsoft Excel.
• Excellent communication abilities.
• Commitment to continuous learning.
• Ability to work cross-functionally.
• Ability to form strong customer relationships.
• Ability to ask the right questions, validate assumptions, and interpret results critically.
• Proactively identifying patterns, asking “why,” and following through without constant guidance.

Pay Information

• Full-Time Salary Range: $70,500.00 - $130,900.00

Salary information is a general guideline and may vary based on factors such as scope of responsibilities, candidate experience, education, skills, market, and business considerations.

• Annual short-term and/or long-term incentive compensation programs may be offered.

Benefits

• Medical, Dental, Vision
• Flexible work arrangements and schedules (e.g., 4x10)
• 401(k) match
• Paid time off
• Holidays
• Parental Leave
• EAP
• Flexible Spending Accounts
• Education Assistance
• Life Insurance
• Short-Term Disability
• Long-Term Disability