Associate Data Analyst

General Dynamics Information Technology·Remote·Work From Anywhere
Data & Analytics

WFA Digital Insight

As the demand for data-driven insights continues to soar, companies are on the lookout for skilled data analysts who can decipher complex data patterns. With the rise of remote work, the job market for data analysts has become increasingly competitive, with a growth rate of 25% in the past year. General Dynamics Information Technology stands out as a leader in this space, and this Associate Data Analyst role offers a unique opportunity to work on high-impact projects. Candidates should be prepared to showcase their technical skills, particularly in Python and SQL, as well as their ability to communicate complex data insights effectively. Before applying, it's essential to understand the company's commitment to innovation and customer satisfaction, as well as the role's requirements and expectations.

Job Description

About the Role

As an Associate Data Analyst at General Dynamics Information Technology, you will play a critical role in supporting the oversight, monitoring, and audits of the Medicare Drug Price Negotiation Program. Your work will have a direct impact on the mission of the Centers for Medicare & Medicaid Services (CMS). You will be part of a team that collaborates with investigators and auditors to identify solutions to complex challenges, driving critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making.

The Associate Data Analyst role is an excellent opportunity for individuals who are passionate about data analysis and want to work on high-impact projects. The team is dynamic, and the company offers a collaborative and inclusive work environment. Your day-to-day responsibilities will include analyzing large datasets, identifying trends, and providing actionable insights to stakeholders.

The company is committed to innovation and customer satisfaction, and this role is no exception. You will be expected to stay up-to-date with the latest trends and technologies in data analysis, including Python, SQL, and data stack tools such as Snowflake.

What You Will Do

  • Support oversight and monitoring of the Medicare Drug Price Negotiation Program with data analysis and reporting
  • Collaborate with Medicare Drug Price Negotiation Program investigators and auditors to identify solutions to complex challenges
  • Drive critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making
  • Utilize Python, Snowflake, and SQL to uncover patterns and trends in large datasets that are meaningful to program oversight and action
  • Develop and maintain databases and data systems to support program operations
  • Analyze and interpret complex data sets to identify trends and patterns
  • Create data visualizations and reports to communicate findings to stakeholders
  • Develop and implement data quality control processes to ensure accuracy and reliability of data
  • Stay up-to-date with the latest trends and technologies in data analysis

What We Are Looking For

  • Bachelor's degree in a related field (e.g., mathematics, statistics, computer science)
  • At least 1 year of experience in data analysis
  • Experience using Python for data analysis
  • Understanding of SQL for data extraction
  • Familiarity with data stack tools such as Snowflake
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment and meet deadlines

Nice to Have

  • Experience with data visualization tools such as Tableau or Power BI
  • Knowledge of machine learning algorithms and modeling techniques
  • Familiarity with cloud-based data platforms such as Amazon Web Services (AWS) or Microsoft Azure
  • Certification in data analysis or a related field

Benefits and Perks

  • Competitive salary range ($59,500 - $80,500)
  • Comprehensive benefits package, including medical, dental, and vision plans
  • 401(k) plan with company match
  • Flexible work arrangements, including remote work options
  • Paid time off, including vacation, sick leave, and holidays
  • Opportunities for professional development and growth
  • Collaborative and inclusive work environment
  • Access to the latest technologies and tools in data analysis
  • Recognition and reward programs for outstanding performance

How to Stand Out

  • To stand out, highlight your technical skills in Python, SQL, and data analysis, and be prepared to provide examples of your experience with these tools.
  • Showcase your ability to communicate complex data insights effectively, both verbally and in writing.
  • Be prepared to discuss your experience working with large datasets and identifying trends and patterns.
  • Research the company's commitment to innovation and customer satisfaction, and be prepared to discuss how your skills and experience align with these values.
  • Don't be afraid to ask questions during the interview process, and be prepared to provide examples of your problem-solving skills and ability to work in a fast-paced environment.
  • Consider creating a portfolio of your work, including examples of your data visualizations and reports, to showcase your skills and experience to potential employers.

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