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Senior Data Analyst

3 months ago

Fairfax Station, United States SOLUTIONS FOR INFORMATION DESIGN Full time
Job DescriptionJob DescriptionDescription:

Company Overview

SOLID (Solutions for Information Design, Inc.) is a dynamic and innovative company at the forefront of application design and development, research and analysis supporting workforce development and credentialing, and career counseling. For over two decades, SOLID has fostered a company culture that prioritizes family and flexibility, placing a strong emphasis on work-life balance and recognizing the importance of employees' personal lives. Our culture encourages open communication, mutual respect, and understanding across departments, functional areas, and within teams.

Join us, and you’ll be part of a collaborative team where knowledge-sharing is highly encouraged, inspiring a dynamic and forward-thinking work environment that thrives on pushing boundaries so that we can continue to stay at the forefront of innovative workforce development initiatives that expand career pathways for our nation’s workforce. We’re trailblazers in creating digital tools that empower U.S. service members to advance their professional careers. Our core clients include various federal agencies and all branches of the US Military, as well as commercial, higher education, and non-profit organizations.

Position Overview

Are you ready to take your data analysis skills to the next level and make a real difference? At SOLID, we’re looking for a passionate Senior Data Analyst to join our dynamic and agile team. In this pivotal role, you will be responsible for developing and implementing a set of techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.

You’ll apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, report data findings, and create dynamic data reports. Develop statistical analysis plans and data management procedures using relational database principles, protocols, and methodology. Integrate and analyze data from many sources, including resolving data problems. Conduct complex and detailed quantitative statistical analyses, using statistical analysis software such as SAS, to evaluate the strengths and weaknesses of programs and service delivery.

This is an exciting opportunity to be part of a small but impactful team, creating solutions that significantly enhance the lives of U.S. Military service members and veterans.

Responsibilities

  • Perform quantitative statistical analyses using complex analytic methods, including multiple regression, general linear model, correlation, t-test, creating composite variables, and longitudinal analysis.
  • Perform qualitative statistical analysis of large datasets of written comments to identify themes and draw valid conclusions.
  • Develop statistical analysis plans and data management procedures using relational database principles, protocols, and methodology.
  • Integrate and analyze data from many sources, including resolving data problems.
  • Conduct complex and detailed quantitative statistical analyses using statistical analysis software such as SAS.
  • Visualize, interpret, and report data findings, potentially creating dynamic data reports.
  • Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
  • Perform other related duties as assigned.


Requirements:

Qualifications

  • Bachelor’s degree in Computer Science, MIS, Data Science, Statistics, or a related field. Related experience and credentials may be considered in lieu of preferred education.
  • At least seven (7+) years of experience in a data analyst role.
  • Expertise in data mining, data modeling, natural language processing, and machine learning.
  • Proficiency in statistical analysis software such as SAS.
  • Strong knowledge of data-oriented programming languages and visualization software.
  • Experience with relational database principles, protocols, and methodology.
  • Proven track record of integrating and analyzing data from many sources and resolving data problems.
  • Demonstrated experience working in an Agile software development environment.
  • Excellent verbal and written communication skills.
  • Proficient in Microsoft Office Suite or related software.
  • Excellent organizational skills and attention to detail.

Benefits

  • Flexible and Supportive Work Environment: 100% remote work, flexible work schedules, and an optional alternate summer work schedule
  • Paid Time Off & Holidays: A generous amount of paid time off that increases over time, 11 paid holidays (including several floating holidays), and a paid family leave plan that allows parents the time and space to bond with their new child
  • Health and Wellness: Comprehensive Medical, Dental, and Vision Insurance.
  • Financial Security and Retirement: A lucrative 401k Plan and annual merit bonuses
  • Professional Development: Grow your skills with professional development opportunities sponsored by SOLID
  • Internet Reimbursement: A monthly reimbursement for high-speed internet costs
  • Annual Celebrations and fun virtual events Spend time with and get to know your fellow “SOLIDzens”

Salary will be commensurate with experience and education.

This position will require and is dependent on the successful completion of a criminal background check.

SOLID is committed to ensuring equal employment opportunities for all employees and applicants for employment. As an Equal Opportunity Employer, we do not discriminate based on race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or any other characteristic protected by law.

In compliance with the Equal Opportunity Clause §60-1.35, SOLID ensures that employees and applicants are not restricted from discussing or disclosing their compensation or the compensation of other employees or applicants. Our policies do not prohibit, or tend to prohibit, employees or applicants from discussing or disclosing their compensation.

All employees and applicants will have access to our nondiscrimination provision, which is included in our employee manuals and handbooks and posted in conspicuous places or electronically where they are readily available.