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Job Description

Overview

The office of Equality, Diversity and Inclusion is seeking a Data Analyst to provide highly qualified technical expertise in the use of demographic or diversity metrics and data analysis. You will use data reporting, and statistical software packages to manage, combine, maintain, and analyze large, complex databases. 

Responsibilities

  • Perform data analysis, including model building analysis, assessing trends, determining correlations, testing for heterogeneity, and compiling and communicating results to investigators to participate in the interpretation of results and planning of further analyses.
  • Check and confirm the accuracy of calculations conducted by collaborating programmers, analysts, and presenters to guard against mistakes in design, conduct, or presentation of risk estimates.
  • Present data by preparing charts, tables, and graphs, using software that can be used for scientific monographs, book chapters, and professional presentations (including poster and oral presentations).
  • Provide statistical advice and consultation to the investigators in study design, data management, choice and application of statistical methods, data analysis, and interpretation of statistical results.
  • Perform qualitative analysis of free-text responses, including codebook development, qualitative coding, and analysis using computer assisted qualitative data analysis software.
  • Develop and systematically apply data classification schemes and process and combine data sets for analysis from diverse sources.
  • Recommend appropriate statistical techniques for analysis of research data and prepare statistical reports, analyze data, and use statistical software packages and programs such as SAS and R.
  • Transfer data between software, dataset creation (merge and concatenation), data cleaning (identify and correct data entry errors and missing values) and data transformation (create and categorize variables and impute data).
  • Perform data analysis of data sets involving statistical procedures varying in complexity from simple bivariate tests to advanced regression methods for longitudinal data analysis and time-to-event analysis; determine correlations between variables.
  • Perform data analysis including cross-tabulation, descriptive analysis using standard statistical procedures, as well as model building (logistic regression, conditional logistic regression).
  • Complete technical writing including co-authoring of articles for journal submission and writing of professional services agreements and statements of work.

Qualifications

  • Master’s degree in Human Resources and Personnel Management, Industrial and Organizational Psychology
  • 3 years experience in: 
    • Database management
    • Data cleaning
    • Data analysis
    • Data presentation
    • Data visualization
    • Statistical modelling
    • PowerBI
    • STATA
    • SPSS

 

About Highlight

For over ten years, Highlight has provided Development and Modernization, Secure IT, and Mission Solution services to our federal government customers. Our team knows the technology; we understand how our customers and their stakeholders work; and we know how to implement industry best practices to deliver high-quality, end-to-end solutions that minimize risk and maximize results.

 

Since our inception, Highlight has had an employee-first mindset. Our mission is to provide employees with rewarding and impactful career opportunities. In 2021, Highlight’s founder and CEO, Rebecca Andino, implemented an Employee Stock Ownership Plan to embody and expand our culture of transparency, teamwork and rewarding the work of our employees. By becoming an ESOP, our employee-owners share in the success of the company through their ownership stake. To learn more about ESOPS, check out: www.esopinfo.org. 

 

We’re an Equal Opportunity Employer (EOE) that empowers our people to fearlessly drive change - regardless of their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other characteristics. Our team is dedicated to foster diversity within our teams to promote creativity, innovation, and teamwork to deliver the best solutions for our customers.

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#cwhp

Company Overview

  • Website highlighttech.com
  • Headquarters FAIRFAX, VA
  • Size 200 - 500
  • Founded 2008
  • Type
  • CEO REBECCA ANDINO
  • Revenue $5M - $10M
  • Industry Software & Networking
  • About highlight technologies
  • Highlight Technologies is an award-winning woman-owned, ISO┬« 9001:2015, ISO 20000-1:2011, ISO 27001, ISO 4401 and CMMI┬«-DEV Level 3 and CMMI-SVC Level 3 appraised small business that provides IT development and transformation, secure IT operations, and mission support services to more than 20 U.S. federal government customers. With over 20 years of federal contracting experience, we apply our proven transformation and evolution process to deliver quality services that balance agility, continuity, security, and compliance.

Skills for Data Analyst

The job skills required for Data Analyst include Analysis, Data Analysis, Planning, Presentation, Data Visualization etc. Having related job skills and expertise will give you an advantage when applying to be a Data Analyst. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Analyst. Select any job title you are interested in and start to search job requirements.

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Career Path for Data Analyst

The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Business Data Analyst III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

How to Become a Data Analyst

If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1 Understand the job description and responsibilities of a Data Analyst

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Step 2 Knowing the best tips for becoming a Data Analyst can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Step 3 View the best colleges and universities for Data Analyst

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